This slide is presented in CMC2012 (2012 4th International Conference on
Communications, Mobility, and Computing).
Abstract. This research presents the development of a mobile AR system which realizes geometric consistency
using GIS, a gyroscope and a video camera which are mounted in a smartphone for urban landscape assessment. A low cost AR system with high flexibility is developed.
Geometric consistency between a video image and 3DCG are verified. In conclusion, the proposed system was evaluated as feasible and effective.
SOAR: SENSOR ORIENTED MOBILE AUGMENTED REALITY FOR URBAN LANDSCAPE ASSESSMENTTomohiro Fukuda
This slide is presented in CAADRIA2012 (The 17th International Conference on Computer Aided Architectural Design Research in Asia).
Abstract. This research presents the development of a sensor oriented mobile AR system which realizes geometric consistency using GPS, a gyroscope and a video camera which are mounted in a smartphone for urban landscape assessment. A low cost AR system with high flexibility is realized. Consistency of the viewing angle of a video camera and a CG virtual camera, and geometric consistency between a video image and 3DCG are verified. In conclusion, the proposed system was evaluated as feasible and effective.
Availability of Mobile Augmented Reality System for Urban Landscape SimulationTomohiro Fukuda
This slide is presented in CDVE2012 (The 9th International Conference on Cooperative Design, Visualization, and Engineering).
Abstract. This research presents the availability of a landscape simulation method for a mobile AR (Augmented Reality), comparing it with photo montage and VR (Virtual Reality) which are the main existing methods. After a pilot experiment with 28 subjects in Kobe city, a questionnaire about three landscape simulation methods was implemented. In the results of the questionnaire, the mobile AR method was well evaluated for reproducibility of a landscape, operability, and cost. An evaluation rated as better than equivalent was obtained in comparison with the existing methods. The suitability of mobile augmented reality for landscape simulation was found to be high.
A STUDY OF VARIATION OF NORMAL OF POLY-GONS CREATED BY POINT CLOUD DATA FOR A...Tomohiro Fukuda
This slide is presented in CAADRIA2011 (The 16th International Conference on Computer Aided Architectural Design Research in Asia).
Abstracts: Acquiring current 3D space data of cities, buildings, and rooms rapidly and in detail has become indispensable. When the point cloud data of an object or space scanned by a 3D laser scanner is converted into polygons, it is an accumulation of small polygons. When object or space is a closed flat plane, it is necessary to merge small polygons to reduce the volume of data, and to convert them into one polygon. When an object or space is a closed flat plane, each normal vector of small polygons theoretically has the same angle. However, in practise, these angles are not the same. Therefore, the purpose of this study is to clarify the variation of the angle of a small polygon group that should become one polygon based on actual data. As a result of experimentation, no small polygons are converted by the point cloud data scanned with the 3D laser scanner even if the group of small polygons is a closed flat plane lying in the same plane. When the standard deviation of the extracted number of polygons is assumed to be less than 100, the variation of the angle of the normal vector is roughly 7 degrees.
DISTRIBUTED AND SYNCHRONISED VR MEETING USING CLOUD COMPUTING: Availability a...Tomohiro Fukuda
This slide is presented in CAADRIA2012 (The 17th International Conference on Computer Aided Architectural Design Research in Asia).
Abstract. The mobility of people's activities, and cloud computing technologies are becoming advanced in the modern age of information and globalisation. This study describes the availability of discussing spatial design while sharing a 3-dimensional virtual space with stakeholders in a distributed and synchronised environment. First of all, a townscape design support system based on a cloud computing type VR system is constructed. Next, an experiment of a distributed and synchronised discussion of townscape design is executed with subjects who are specialists in the townscape design field. After the experiment, both qualitative mental evaluation and quantitative evaluation were carried out. The conclusions are as follows: 1. Users who use VR frequently and who use videoconferencing consider that the difference with face-to-face discussion is small. 2. A Moiré pattern may occur in a gradation picture. 3. The availability of distributed and synchronised discussions with cloud computing type VR is high.
CAAD FUTURES 2015: Development of High-definition Virtual Reality for Histo...Tomohiro Fukuda
This slide is our research presentation in the 16th CAAD Futures 2015 Conference, at MASP, Sao Paulo, Brazil.
Keywords: Cultural heritage, digital reconstruction, Virtual Reality, visualization, 3D modeling, presentation.
Abstract: This study shows fundamental data for constructing a high-definition VR application under the theme of a three-dimensional visualization to restore past architecture and cities. It is difficult for widespread architectural and urban objects to be rendered in real-time. Thus, in this study, techniques for improving the level of detail (LOD) and representation of natural objects were studied. A digital reconstruction project of Azuchi Castle and old castle town was targeted as a case study. Finally, a VR application with specifications of seven million polygons, texture of 1.87 billion pixels, and 1920 × 1080 screen resolution, was successfully developed that could run on a PC. For the developed VR applications, both qualitative evaluation by experts and quantitative evaluation by end users was performed.
Integration of a Structure from Motion into Virtual and Augmented Reality for...Tomohiro Fukuda
Proceedings (Full paper reviewed)
Tomohiro Fukuda, Hideki Nada, Haruo Adachi, Shunta Shimizu, Chikako Takei, Yusuke Sato, Nobuyoshi Yabuki, and Ali Motamedi: 2017, Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation: Demonstrated in Real Architectural and Urban Projects, Future Trajectories of Computation in Design: 17th International Conference CAAD Futures 2017, p.596, 2017.7
Book (Book contribution)
Tomohiro Fukuda, Hideki Nada, Haruo Adachi, Shunta Shimizu, Chikako Takei, Yusuke Sato, Nobuyoshi Yabuki, and Ali Motamedi: 2017, Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation: Demonstrated in Real Architectural and Urban Projects, Computer-Aided Architectural Design - Future Trajectories,pp.60-77,Springer (Communications in Computer and Information Science 724), ISSN 1865-0929,ISBN 978-981-10-5196-8,2017.7
Computational visual simulations are extremely useful and powerful tools for decision-making. The use of virtual and augmented reality (VR/AR) has become a common phenomenon due to real-time and interactive visual simulation tools in architectural and urban design studies and presentations. In this study, a demonstration is performed to integrate structure from motion (SfM) into VR and AR. A 3D modeling method is explored by SfM under real-time rendering as a solution for the modeling cost in large-scale VR. The study examines the application of camera parameters of SfM to realize an appropriate registration and tracking accuracy in marker-less AR to visualize full-scale design projects on a planned construction site. The proposed approach is applied to plural real architectural and urban design projects, and results indicate the feasibility and effectiveness of the proposed approach.
CAADRIA2014: A Synchronous Distributed Design Study Meeting Process with Anno...Tomohiro Fukuda
This research investigated the impact of synchronous distributed non immersive cloud-VR (cloud computing type of Virtual Reality) meetings using the annotation function by noting an architectural design process. The experimentation of collaborative design work at the early stage of a housing renovation project was executed by three designers. The synchronously distributed meetings using cloud-VR and a freehand sketching function were completed in two days. The annotation function was used effectively when a designer wished to show the space composition and volume shape of the planned building and so on. The proposed design environment, sharing a 3D virtual space with viewpoints, plans, sketches and other information synchronously and remotely, was feasible and effective.
SOAR: SENSOR ORIENTED MOBILE AUGMENTED REALITY FOR URBAN LANDSCAPE ASSESSMENTTomohiro Fukuda
This slide is presented in CAADRIA2012 (The 17th International Conference on Computer Aided Architectural Design Research in Asia).
Abstract. This research presents the development of a sensor oriented mobile AR system which realizes geometric consistency using GPS, a gyroscope and a video camera which are mounted in a smartphone for urban landscape assessment. A low cost AR system with high flexibility is realized. Consistency of the viewing angle of a video camera and a CG virtual camera, and geometric consistency between a video image and 3DCG are verified. In conclusion, the proposed system was evaluated as feasible and effective.
Availability of Mobile Augmented Reality System for Urban Landscape SimulationTomohiro Fukuda
This slide is presented in CDVE2012 (The 9th International Conference on Cooperative Design, Visualization, and Engineering).
Abstract. This research presents the availability of a landscape simulation method for a mobile AR (Augmented Reality), comparing it with photo montage and VR (Virtual Reality) which are the main existing methods. After a pilot experiment with 28 subjects in Kobe city, a questionnaire about three landscape simulation methods was implemented. In the results of the questionnaire, the mobile AR method was well evaluated for reproducibility of a landscape, operability, and cost. An evaluation rated as better than equivalent was obtained in comparison with the existing methods. The suitability of mobile augmented reality for landscape simulation was found to be high.
A STUDY OF VARIATION OF NORMAL OF POLY-GONS CREATED BY POINT CLOUD DATA FOR A...Tomohiro Fukuda
This slide is presented in CAADRIA2011 (The 16th International Conference on Computer Aided Architectural Design Research in Asia).
Abstracts: Acquiring current 3D space data of cities, buildings, and rooms rapidly and in detail has become indispensable. When the point cloud data of an object or space scanned by a 3D laser scanner is converted into polygons, it is an accumulation of small polygons. When object or space is a closed flat plane, it is necessary to merge small polygons to reduce the volume of data, and to convert them into one polygon. When an object or space is a closed flat plane, each normal vector of small polygons theoretically has the same angle. However, in practise, these angles are not the same. Therefore, the purpose of this study is to clarify the variation of the angle of a small polygon group that should become one polygon based on actual data. As a result of experimentation, no small polygons are converted by the point cloud data scanned with the 3D laser scanner even if the group of small polygons is a closed flat plane lying in the same plane. When the standard deviation of the extracted number of polygons is assumed to be less than 100, the variation of the angle of the normal vector is roughly 7 degrees.
DISTRIBUTED AND SYNCHRONISED VR MEETING USING CLOUD COMPUTING: Availability a...Tomohiro Fukuda
This slide is presented in CAADRIA2012 (The 17th International Conference on Computer Aided Architectural Design Research in Asia).
Abstract. The mobility of people's activities, and cloud computing technologies are becoming advanced in the modern age of information and globalisation. This study describes the availability of discussing spatial design while sharing a 3-dimensional virtual space with stakeholders in a distributed and synchronised environment. First of all, a townscape design support system based on a cloud computing type VR system is constructed. Next, an experiment of a distributed and synchronised discussion of townscape design is executed with subjects who are specialists in the townscape design field. After the experiment, both qualitative mental evaluation and quantitative evaluation were carried out. The conclusions are as follows: 1. Users who use VR frequently and who use videoconferencing consider that the difference with face-to-face discussion is small. 2. A Moiré pattern may occur in a gradation picture. 3. The availability of distributed and synchronised discussions with cloud computing type VR is high.
CAAD FUTURES 2015: Development of High-definition Virtual Reality for Histo...Tomohiro Fukuda
This slide is our research presentation in the 16th CAAD Futures 2015 Conference, at MASP, Sao Paulo, Brazil.
Keywords: Cultural heritage, digital reconstruction, Virtual Reality, visualization, 3D modeling, presentation.
Abstract: This study shows fundamental data for constructing a high-definition VR application under the theme of a three-dimensional visualization to restore past architecture and cities. It is difficult for widespread architectural and urban objects to be rendered in real-time. Thus, in this study, techniques for improving the level of detail (LOD) and representation of natural objects were studied. A digital reconstruction project of Azuchi Castle and old castle town was targeted as a case study. Finally, a VR application with specifications of seven million polygons, texture of 1.87 billion pixels, and 1920 × 1080 screen resolution, was successfully developed that could run on a PC. For the developed VR applications, both qualitative evaluation by experts and quantitative evaluation by end users was performed.
Integration of a Structure from Motion into Virtual and Augmented Reality for...Tomohiro Fukuda
Proceedings (Full paper reviewed)
Tomohiro Fukuda, Hideki Nada, Haruo Adachi, Shunta Shimizu, Chikako Takei, Yusuke Sato, Nobuyoshi Yabuki, and Ali Motamedi: 2017, Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation: Demonstrated in Real Architectural and Urban Projects, Future Trajectories of Computation in Design: 17th International Conference CAAD Futures 2017, p.596, 2017.7
Book (Book contribution)
Tomohiro Fukuda, Hideki Nada, Haruo Adachi, Shunta Shimizu, Chikako Takei, Yusuke Sato, Nobuyoshi Yabuki, and Ali Motamedi: 2017, Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation: Demonstrated in Real Architectural and Urban Projects, Computer-Aided Architectural Design - Future Trajectories,pp.60-77,Springer (Communications in Computer and Information Science 724), ISSN 1865-0929,ISBN 978-981-10-5196-8,2017.7
Computational visual simulations are extremely useful and powerful tools for decision-making. The use of virtual and augmented reality (VR/AR) has become a common phenomenon due to real-time and interactive visual simulation tools in architectural and urban design studies and presentations. In this study, a demonstration is performed to integrate structure from motion (SfM) into VR and AR. A 3D modeling method is explored by SfM under real-time rendering as a solution for the modeling cost in large-scale VR. The study examines the application of camera parameters of SfM to realize an appropriate registration and tracking accuracy in marker-less AR to visualize full-scale design projects on a planned construction site. The proposed approach is applied to plural real architectural and urban design projects, and results indicate the feasibility and effectiveness of the proposed approach.
CAADRIA2014: A Synchronous Distributed Design Study Meeting Process with Anno...Tomohiro Fukuda
This research investigated the impact of synchronous distributed non immersive cloud-VR (cloud computing type of Virtual Reality) meetings using the annotation function by noting an architectural design process. The experimentation of collaborative design work at the early stage of a housing renovation project was executed by three designers. The synchronously distributed meetings using cloud-VR and a freehand sketching function were completed in two days. The annotation function was used effectively when a designer wished to show the space composition and volume shape of the planned building and so on. The proposed design environment, sharing a 3D virtual space with viewpoints, plans, sketches and other information synchronously and remotely, was feasible and effective.
Hardware Implementation of Genetic Algorithm Based Digital Colour Image Water...IDES Editor
The objective of this work is to develop a
hardware-based watermarking system to identify the device
using which the photograph was taken. The watermark chip
will be fit in any electronic component that acquires the
images, which are then watermarked in real time while
capturing along with separate key. Watermarking is the
process of embedding the watermark, in which a watermark
is inserted in to a host image while extracting the watermark
the watermark is pulled out of the image. The ultimate
objective of the research presented in this paper is to develop
low-power, high-performance, real-time, reliable and secure
watermarking systems, which can be achieved through
hardware implementations. In this paper the development of
a very Large Scale Integration (VLSI) architecture for a highperformance
watermarking chip that can perform invisible
colour image watermarking using genetic algorithm is
discussed. The prototyped VLSI implementation of
watermarking is analyzed in two ways.
Viz.,(i) Digital watermarking
Markerless motion capture for 3D human model animation using depth cameraTELKOMNIKA JOURNAL
3D animation is created using keyframe based system in 3D animation software such as Blender and Maya. Due to the long time interval and the need of high expertise in 3D animation, motion capture devices were used as an alternative and Microsoft Kinect v2 sensor is one of them. This research analyses the capabilities of the Kinect sensor in producing 3D human model animations using motion capture and keyframe based animation system in reference to a live motion performance. The quality, time interval and cost of both animation results were compared. The experimental result shows that motion capture system with Kinect sensor consumed less time (only 2.6%) and cost (30%) in the long run (10 minutes of animation) compare to keyframe-based system, but it produced lower quality animation. This was due to the lack of body detection accuracy when there is obstruction. Moreover, the sensor’s constant assumption that the performer’s body faces forward made it unreliable to be used for a wide variety of movements. Furthermore, standard test defined in this research covers most body parts’ movements to evaluate other motion capture system.
Interactive full body motion capture using infrared sensor networkijcga
Traditional motion capture (mocap) has been
well
-
stud
ied in visual science for
the last decades
. However
the fie
ld is mostly about capturing
precise animation to be used in
specific
application
s
after
intensive
post
processing such as studying biomechanics or rigging models in movies. These data set
s are normally
captured in complex laboratory environments with
sophisticated
equipment thus making motion capture a
field that is mostly exclusive to professional animators.
In
addition
, obtrusive sensors must be attached to
actors and calibrated within t
he capturing system, resulting in limited and unnatural motion.
In recent year
the rise of computer vision and interactive entertainment opened the gate for a different type of motion
capture which focuses on producing
optical
marker
less
or mechanical sens
orless
motion capture.
Furtherm
ore a wide array of low
-
cost
device are released that are easy to use
for less mission critical
applications
.
This paper
describe
s
a new technique of using multiple infrared devices to process data from
multiple infrared sensors to enhance the flexibility and accuracy of the markerless mocap
using commodity
devices such as Kinect
. The method involves analyzing each individual sensor
data, decompose and rebuild
them into a uniformed skeleton across all sensors. We then assign criteria to define the confidence level of
captured signal from
sensor. Each sensor operates on its own process and communicates through MPI.
Our method emphasize
s on the need of minimum calculation overhead for better real time performance
while being able to maintain good scalability
Interactive Full-Body Motion Capture Using Infrared Sensor Network ijcga
Traditional motion capture (mocap) has been well-studied in visual science for the last decades. However the field is mostly about capturing precise animation to be used in specific applications after intensive post processing such as studying biomechanics or rigging models in movies. These data sets are normally captured in complex laboratory environments with sophisticated equipment thus making motion capture a
field that is mostly exclusive to professional animators. In addition, obtrusive sensors must be attached to actors and calibrated within the capturing system, resulting in limited and unnatural motion. In recent year the rise of computer vision and interactive entertainment opened the gate for a different type of motion capture which focuses on producing optical markerless or mechanical sensorless motion capture. Furthermore a wide array of low-cost device are released that are easy to use for less mission critical applications. This paper describes a new technique of using multiple infrared devices to process data from multiple infrared sensors to enhance the flexibility and accuracy of the markerless mocap using commodity
devices such as Kinect. The method involves analyzing each individual sensor data, decompose and rebuild
them into a uniformed skeleton across all sensors. We then assign criteria to define the confidence level of
captured signal from sensor. Each sensor operates on its own process and communicates through MPI.
Our method emphasizes on the need of minimum calculation overhead for better real time performance
while being able to maintain good scalability.
Digital 3D imaging can benefit from advances in VLSI technology in order to accelerate its deployment in many fields like visual communication and industrial automation. High-resolution 3D images can be acquired using laser-based vision systems. With this approach, the 3D information becomes relatively insensitive to background illumination and surface texture. Complete images of visible surfaces that are rather featureless to the human eye or a video camera can be generated. Intelligent digitizers will be capable of measuring accurately and simultaneously color and 3D.
Invited talk on AR/SLAM and IoT in ILAS Seminar :Introduction to IoT and
Security, Kyoto University, 2020.
(https://www.z.k.kyoto-u.ac.jp/freshman-guide/ilas-seminars/ )
◆登壇者: Tomoyuki Mukasa
This is a modified version of a presentation given to high school students about understanding their digital reputations and identities online. It includes practical tips and guides from Erik Qualman's book, What Happens On Campus Stays On YouTube. A book to which I was a contributing author. Available on Amazon: http://www.amazon.com/gp/product/0991183525/ref=as_li_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=0991183525&linkCode=as2&tag=paulgordonbro-20&linkId=VEIE5AKM4DCK7MW2
Despite the myth of "digital natives," most of my students have very little experience using technology as anything more than a consumer device. It doesn't have to be this way. By using the design thinking cycle, teachers can foster creative thinking in every content area.
A New Business Model of Custom Software Development For Agile Software Develo...Tsuyoshi Ushio
Successful business model of custom software for agile development.
22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering
November 16-21, 2014, Hong Kong
Hardware Implementation of Genetic Algorithm Based Digital Colour Image Water...IDES Editor
The objective of this work is to develop a
hardware-based watermarking system to identify the device
using which the photograph was taken. The watermark chip
will be fit in any electronic component that acquires the
images, which are then watermarked in real time while
capturing along with separate key. Watermarking is the
process of embedding the watermark, in which a watermark
is inserted in to a host image while extracting the watermark
the watermark is pulled out of the image. The ultimate
objective of the research presented in this paper is to develop
low-power, high-performance, real-time, reliable and secure
watermarking systems, which can be achieved through
hardware implementations. In this paper the development of
a very Large Scale Integration (VLSI) architecture for a highperformance
watermarking chip that can perform invisible
colour image watermarking using genetic algorithm is
discussed. The prototyped VLSI implementation of
watermarking is analyzed in two ways.
Viz.,(i) Digital watermarking
Markerless motion capture for 3D human model animation using depth cameraTELKOMNIKA JOURNAL
3D animation is created using keyframe based system in 3D animation software such as Blender and Maya. Due to the long time interval and the need of high expertise in 3D animation, motion capture devices were used as an alternative and Microsoft Kinect v2 sensor is one of them. This research analyses the capabilities of the Kinect sensor in producing 3D human model animations using motion capture and keyframe based animation system in reference to a live motion performance. The quality, time interval and cost of both animation results were compared. The experimental result shows that motion capture system with Kinect sensor consumed less time (only 2.6%) and cost (30%) in the long run (10 minutes of animation) compare to keyframe-based system, but it produced lower quality animation. This was due to the lack of body detection accuracy when there is obstruction. Moreover, the sensor’s constant assumption that the performer’s body faces forward made it unreliable to be used for a wide variety of movements. Furthermore, standard test defined in this research covers most body parts’ movements to evaluate other motion capture system.
Interactive full body motion capture using infrared sensor networkijcga
Traditional motion capture (mocap) has been
well
-
stud
ied in visual science for
the last decades
. However
the fie
ld is mostly about capturing
precise animation to be used in
specific
application
s
after
intensive
post
processing such as studying biomechanics or rigging models in movies. These data set
s are normally
captured in complex laboratory environments with
sophisticated
equipment thus making motion capture a
field that is mostly exclusive to professional animators.
In
addition
, obtrusive sensors must be attached to
actors and calibrated within t
he capturing system, resulting in limited and unnatural motion.
In recent year
the rise of computer vision and interactive entertainment opened the gate for a different type of motion
capture which focuses on producing
optical
marker
less
or mechanical sens
orless
motion capture.
Furtherm
ore a wide array of low
-
cost
device are released that are easy to use
for less mission critical
applications
.
This paper
describe
s
a new technique of using multiple infrared devices to process data from
multiple infrared sensors to enhance the flexibility and accuracy of the markerless mocap
using commodity
devices such as Kinect
. The method involves analyzing each individual sensor
data, decompose and rebuild
them into a uniformed skeleton across all sensors. We then assign criteria to define the confidence level of
captured signal from
sensor. Each sensor operates on its own process and communicates through MPI.
Our method emphasize
s on the need of minimum calculation overhead for better real time performance
while being able to maintain good scalability
Interactive Full-Body Motion Capture Using Infrared Sensor Network ijcga
Traditional motion capture (mocap) has been well-studied in visual science for the last decades. However the field is mostly about capturing precise animation to be used in specific applications after intensive post processing such as studying biomechanics or rigging models in movies. These data sets are normally captured in complex laboratory environments with sophisticated equipment thus making motion capture a
field that is mostly exclusive to professional animators. In addition, obtrusive sensors must be attached to actors and calibrated within the capturing system, resulting in limited and unnatural motion. In recent year the rise of computer vision and interactive entertainment opened the gate for a different type of motion capture which focuses on producing optical markerless or mechanical sensorless motion capture. Furthermore a wide array of low-cost device are released that are easy to use for less mission critical applications. This paper describes a new technique of using multiple infrared devices to process data from multiple infrared sensors to enhance the flexibility and accuracy of the markerless mocap using commodity
devices such as Kinect. The method involves analyzing each individual sensor data, decompose and rebuild
them into a uniformed skeleton across all sensors. We then assign criteria to define the confidence level of
captured signal from sensor. Each sensor operates on its own process and communicates through MPI.
Our method emphasizes on the need of minimum calculation overhead for better real time performance
while being able to maintain good scalability.
Digital 3D imaging can benefit from advances in VLSI technology in order to accelerate its deployment in many fields like visual communication and industrial automation. High-resolution 3D images can be acquired using laser-based vision systems. With this approach, the 3D information becomes relatively insensitive to background illumination and surface texture. Complete images of visible surfaces that are rather featureless to the human eye or a video camera can be generated. Intelligent digitizers will be capable of measuring accurately and simultaneously color and 3D.
Invited talk on AR/SLAM and IoT in ILAS Seminar :Introduction to IoT and
Security, Kyoto University, 2020.
(https://www.z.k.kyoto-u.ac.jp/freshman-guide/ilas-seminars/ )
◆登壇者: Tomoyuki Mukasa
This is a modified version of a presentation given to high school students about understanding their digital reputations and identities online. It includes practical tips and guides from Erik Qualman's book, What Happens On Campus Stays On YouTube. A book to which I was a contributing author. Available on Amazon: http://www.amazon.com/gp/product/0991183525/ref=as_li_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=0991183525&linkCode=as2&tag=paulgordonbro-20&linkId=VEIE5AKM4DCK7MW2
Despite the myth of "digital natives," most of my students have very little experience using technology as anything more than a consumer device. It doesn't have to be this way. By using the design thinking cycle, teachers can foster creative thinking in every content area.
A New Business Model of Custom Software Development For Agile Software Develo...Tsuyoshi Ushio
Successful business model of custom software for agile development.
22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering
November 16-21, 2014, Hong Kong
This presentation on sleep hacking provides an overview of some of the variables that affect sleep. Understanding these variables provides insight into how to optimize your sleep so you can achieve a better sleep. I tried to include some less obvious sleep hacks as a precursor to my class: Sleep Hacking - How to Dominate Your Sleep in Less than A Week
My recent presentation from the East Midlands Learning Technology Winter 2015 meeting discussing and highlighting the power of Digital Assessment for teachers, students and schools.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/qualcomm/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-mangen
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Michael Mangen, Product Manager for Camera and Computer Vision at Qualcomm, presents the "High-resolution 3D Reconstruction on a Mobile Processor" tutorial at the May 2016 Embedded Vision Summit.
Computer vision has come a long way. Use cases that were previously not possible in mass-market devices are now more accessible thanks to advances in depth sensors and mobile processors. In this presentation, Mangen provides an overview of how we are able to implement high-resolution 3D reconstruction – a capability typically requiring cloud/server processing – on a mobile processor. This is an exciting example of how new sensor technology and advanced mobile processors are bringing computer vision capabilities to broader markets.
Image Fusion of Video Images and Geo-localization for UAV ApplicationsIDES Editor
We present in this paper a very fine method for
determining the location of a ground based target when viewed
from an Unmanned Aerial Vehicle (UAV). By determining the
pixel coordinates on the video frame and by using a range
finder the target’s geo-location is determined in the North-
East-Down (NED) frame. The contribution of this method is
that the target can be localized to within 9m when view from
an altitude of 2500m and down to 1m from an altitude of 100m.
This method offers a highly versatile tracking and geolocalisation
technique that has very good number of
advantages over the previously suggested methods. Some of
the key factors that differentiate our method from its
predecessors are:
1) Day and night time operation
2) All weather operation
3) Highly accurate positioning of target in terms of
latitude-longitude (GPS) and altitude.
4) Automatic gimbaled operation of the camera once
target is locked
5) Tracking is possible even when the target stops
moving
6) Independent of target (moving or stationary)
7) No terrain database is required
8) Instantaneous target geolocalisation is possible
A Hardware Model to Measure Motion Estimation with Bit Plane Matching AlgorithmTELKOMNIKA JOURNAL
The multistep approach involving combination of techniques is referred as motion estimation.
The proposed approach is an adaptive control system to measure the motion from starting point to limit of
search. The motion patterns are used to analyze and avoid stationary regions of image. The algorithm
proposed is robust efficient and the calculations justify its advantages. The motivation of the work is to
maximize the encoding speed and visual quality with the help of motion vector algorithm. In this work a
hardware model is developed in which a frame of pictures are captured and sent via serial port to the system.
MATLAB simulation tool is used to detect the motion among the picture frame. Once any motion is detected
that signal is sent to the hardware which will give the appropriate sign accordingly. This system is developed
on two platforms (hardware as well software) to estimate and measure the motion vectors
Tracking Chessboard Corners Using Projective Transformation for Augmented Rea...CSCJournals
Augmented reality has been a topic of intense research for several years for many applications. It consists of inserting a virtual object into a real scene. The virtual object must be accurately positioned in a desired place. Some measurements (calibration) are thus required and a set of correspondences between points on the calibration target and the camera images must be found. In this paper, we present a tracking technique based on both detection of Chessboard corners and a least squares method; the objective is to estimate the perspective transformation matrix for the current view of the camera. This technique does not require any information or computation of the camera parameters; it can used in real time without any initialization and the user can change the camera focal without any fear of losing alignment between real and virtual object.
Cloud Graphical Rendering: A New ParadigmJoel Isaacson
Cloud rendering of modern graphics is typically performed via remote hardware rendering and pixel-based video compression techniques for image transmission. These solutions perform poorly, profligately expending both system and network resources. In response, Ascender Technologies developed novel enabling technology where the rendering of pixels is performed only on the local client, which makes for a much more affordable solution without expensive graphical hardware in the cloud. In addition, Ascender’s compression techniques reduce the networking overhead, typically by over an order of magnitude.
Pose estimation algorithm for mobile augmented reality based on inertial sen...IJECEIAES
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3D perception is crucial for understanding the real world. It offers many benefits and new capabilities over 2D across diverse applications, from XR and autonomous driving to IOT, camera, and mobile. 3D perception with machine learning is creating the new state of the art (SOTA) in areas, such as depth estimation, object detection, and neural scene representation. Making these SOTA neural networks feasible for real-world deployment on mobile devices constrained by power, thermal, and performance has been a challenge. Qualcomm AI Research has developed not only novel AI techniques for 3D perception but also full-stack AI optimizations to enable real-world deployments and energy-efficient solutions. This presentation explores the latest research that is enabling efficient 3D perception while maintaining neural network model accuracy. You’ll learn about:
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- Advancements in 3D perception research by Qualcomm AI Research
- Our future 3D perception research directions
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Similar to GOAR: GIS Oriented Mobile Augmented Reality for Urban Landscape Assessment (20)
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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Bob Boule
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All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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GOAR: GIS Oriented Mobile Augmented Reality for Urban Landscape Assessment
1. 4th International Conference on Communications,
Mobility, and Computing (CMC2012), Guilin, China
GOAR
GIS ORIENTED MOBILE AUGMENTED
REALITY FOR URBAN LANDSCAPE
ASSESSMENT
TOMOHIRO FUKUDA, TIAN ZHANG, AYAKO SHIMIZU,
MASAHARU TAGUCHI, LEI SUN and NOBUYOSHI YABUKI
Division of Sustainable Energy and Environmental Engineering,
Graduate School of Engineering,
Osaka University, Japan
2. Outline
1. Introduction
2. System Development
1. Development Environment of a System
2. System Flow
3. Verification of System
1. Consideration of allowable residual error
2. Accuracy of geometric consistency with a video image
and 3DCG
4. Conclusion
2
3. Outline
1. Introduction
2. System Development
1. Development Environment of a System
2. System Flow
3. Verification of System
1. Consideration of allowable residual error
2. Accuracy of geometric consistency with a video image
and 3DCG
4. Conclusion
3
4. 1.1 Motivation -1 1. Introduction
In recent years, the need for landscape simulation has been
growing. A review meeting of future landscape is carried out on a
planned construction site in addition to being carried out in a
conference room.
It is difficult for stakeholders to imagine concretely such an image
that is three-dimensional and does not exist. A landscape
visualization method using Computer Graphics (CG) and Virtual
Reality (VR) has been developed.
However, this method requires much time and expense to make a
3D model. Moreover, since consistency with real space is not
achieved when using VR on a planned construction site, it has the
problem that a reviewer cannot get an immersive experience.
4
A landscape study on site VR caputure of Kobe city
5. 1.1 Motivation -2 1. Introduction
In this research, the authors focus Augmented Reality (AR) which
can superimpose an actual landscape acquired with a video
camera and 3DCG. When AR is used, a landscape assessment
object will be included in the present surroundings. Thereby, a
drastic reduction of the time and expense involved in carrying out
3DCG modeling of the present surroundings can be expected.
A smartphone is widely available on the market level.
Sekai Camera Web Smartphone Market in Japan
http://sekaicamera.com/ 5
7. 1.2 Previous Study 1. Introduction
2. Use of an artificial marker. Since an artificial marker needs to be always
visible by the AR camera, the movable span of a user is limited. Moreover,
to realize high precision, it is necessary to use a large artificial marker.
Yabuki, N., et al.: 2011, An invisible height evaluation
system for building height regulation to preserve good
landscapes using augmented reality, Automation in
Construction, Volume 20, Issue 3, 228-235.
artificial marker
7
8. 1.3 Aim 1. Introduction
In this research, GOAR (GIS Oriented Mobile AR) system which realizes
geometric consistency using GIS to obtain position data instead of GPS
which obtains a low accuracy of the location information, a gyroscope and
a video camera which are mounted in a smartphone is developed.
A low cost AR system with high flexibility is realizable.
(Virtual Object for
Landscape Simulation)
8
9. Outline
1. Introduction
2. System Development
1. Development Environment of a System
2. System Flow
3. Verification of System
1. Consideration of allowable residual error
2. Accuracy of geometric consistency with a video image
and 3DCG
4. Conclusion
9
10. 2. System Development
2.1 Development Environment Of a System
Standard Spec Smartphone: GALAPAGOS 003SH (Softbank Mobile Corp.)
Development Language: OpenGL-ES(Ver.2.0),Java(Ver.1.6)
Development Environment: Eclipse Galileo(Ver.3.5)
Location Estimation Technology: GIS includes Google Maps API and Digital
Elevation Model (DEM) which is 10 m mesh size
Video Camera
Spec of 003SH
OS Android™ 2.2
Qualcomm®MSM8255
CPU
Snapdragon® 1GHz
ROM:1GB
Memory
RAM:512MB
Weight ≒140g
Size ≒W62×H121×D12mm
Display Size 3.8 inch
Resolution 480×800 pixel
003SH
10
11. 2.2 System Flow -1 2. System Development
While the CG model realizes
Calibration of a video camera
ideal rendering by the
Definition of landscape assessment 3DCG model perspective drawing method,
rendering of a video camera
Activation of AR system produces distortion.
Selection of 3DCG model
Starting of Activation of Activation of
Google Maps gyroscope video camera
Input of DEM
Angle information Capture of live
acquisition video image Distortion Calibration
Position
information
acquisition
Definition of position and angle
information on CG virtual camera
Superposition to live video image and 3DCG model
Display of AR image
Save of AR image
Calibration of the video camera
11
using Android NDK-OpenCV
12. 2.2 System Flow -2 2. System Development
3DCG Model
Calibration of a video camera
Definition of landscape assessment 3DCG model
Geometry, Texture, Unit
Activation of AR system
Selection of 3DCG model
3DCG model allocation file
Starting of Activation of Activation of
Google Maps gyroscope video camera
Input of DEM
Angle information Capture of live
acquisition video image 3DCG model name, File name,
Position Position data (longitude, latitude,
information
acquisition orthometric height), Degree of
rotation angle, and Zone
Definition of position and angle number of the rectangular plane
information on CG virtual camera
Superposition to live video image and 3DCG model 3DCG model arrangement information file
Display of AR image
Save of AR image
Number of the 3DCG model
allocation information file, 12
Each name
13. 2.2 System Flow -3 2. System Development
Calibration of a video camera
Definition of landscape assessment 3DCG model
Activation of AR system
Selection of 3DCG model
Starting of Activation of Activation of
Google Maps gyroscope video camera
Input of DEM
Angle information Capture of live
acquisition video image
Position
information
acquisition
Definition of position and angle
information on CG virtual camera
Superposition to live video image and 3DCG model
Display of AR image
Save of AR image
GUI of the Developed System
13
14. 2.2 System Flow -4 2. System Development
Calibration of a video camera
Definition of landscape assessment 3DCG model
yaw
Activation of AR system
Selection of 3DCG model
Starting of Activation of Activation of
Google Maps gyroscope video camera
Input of DEM
Angle information Capture of live
acquisition video image roll
Position pitch
information
acquisition
Definition of position and angle
information on CG virtual camera
Coordinate System of Developed
AR system
Superposition to live video image and 3DCG model
Display of AR image
Save of AR image
14
15. 2.2 System Flow -5 2. System Development
Calibration of a video camera
Definition of landscape assessment 3DCG model
Activation of AR system
Selection of 3DCG model 1.The user tap the current
location on Google Maps
Starting of Activation of Activation of
Google Maps gyroscope video camera
Input of DEM
Angle information Capture of live
acquisition video image
Position
information
acquisition
2.The position data (longitude,
Definition of position and angle latitude) on the current
information on CG virtual camera location is obtained
Superposition to live video image and 3DCG model
Display of AR image
Save of AR image
3.Altitude is created using
position data (longitude,
latitude) and DEM
15
16. 2.2 System Flow -6 2. System Development
Calibration of a video camera
Definition of landscape assessment 3DCG model
Activation of AR system
Selection of 3DCG model
Starting of Activation of Activation of
Google Maps gyroscope video camera
Input of DEM
Angle information Capture of live
acquisition video image
Position
information
acquisition
Definition of position and angle
information on CG virtual camera
Superposition to live video image and 3DCG model
Display of AR image
Save of AR image
16
18. Outline
1. Introduction
2. System Development
1. Development Environment of a System
2. System Flow
3. Verification of System
1. Consideration of allowable residual error
2. Accuracy of geometric consistency with a video image
and 3DCG
4. Conclusion
18
19. 3. Verification of System
3.1 Consideration of allowable residual error
The residual error of position (longitude, latitude) occurs by the gap with the
position in which a user does a tap on Google Maps as an actual position.
When the size of the digital map is maximized on Google Maps, the
distance in the real space of the map is 123 m to the size of a screen
being 78 mm. That is, 1 mm on a screen is about 1.6 m in the real space.
On the other hand, since a tap is operated with a finger, a residual error
may occur only the width of the finger used for a tap. Since the width of
the finger had individual difference, it was set as 5 mm in this research.
Therefore, if the scale of a digital map and the error of the width of a
finger are taken into consideration, an error will be set to less than 8 m
when directing latitude and longitude.
Moreover, about the residual error of
altitude, it is expected that 10m mesh
DEM cannot respond to change of the
altitude from a model creation time and
a difference with reality may occur
since the altitude between the mesh 5mm (Width of finger)
= 8m (Distance in real space)
vertices are linearly interpolated.
1mm (Size of screen)
= 1.6m (Distance in real space) 19
20. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG -1
Experimental Methodology
▶ The parameters for realizing geometric consistency are:
▶ Position: latitude, longitude, altitude by GIS
▶ Angle: yaw, pitch, roll by gyroscope
▶ The accuracy of geometric consistency is determined by
combining the residual error of these parameters.
▶ A known building and viewpoint place are set up.
▶ In one experiment, only one parameter was acquired from a
device and the remaining parameters set up a known value as a
fixed value.
▶ Calculation of residual error between live video image and CG at
the same point
20
21. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG -2
Known Building Target
▶ GSE Common East Building at Osaka University Suita Campus
▶ W29.6 m, D29.0 m, H67.0 m
Photo Drawing
28.95m 29.6m
28.95m
29.6m
64.8m
64.8m
29.6m
Latitude, Longitude, Orthometric height Outlined 3D Model
34.823026944, 135.520751389, 60.15 21
22. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG -3
Known Viewpoint Place
▶ No.14-563 reference point. Distance from the reference point to the center
of the Building was 203 m.
▶ AR system was installed with a tripod at a level height 1.5m.
Reference
Point
Building Target
BC
10m A D
203m
Maximum Altitude: 53.5m
Altitude of Reference
Viewpoint Point: 53.1m
(No.14-563
Reference Point)
Latitude, Longitude, Altitude Measuring Points of
34.82145699, 135.519612, 53.1 Residual Error
Minimum Altitude: 51.0m 22
23. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG -4
Parameter Settings of Eight Experiments
Parameter Settings
(S: Static Value = Known value, D: Dynamic Value = Acquired value from a device )
Position Information of Angle Information of
Experiment CG Virtual Camera CG Virtual Camera
Latitude Longitude Altitude yaw pitch roll
No.1 S S S S S S
No.2 D (GIS) D (GIS) D (GIS) S S S
No.3 D (GIS) D (GIS) D (GIS) D D D
1)
No.4 D (GPS) D (GPS) D (GPS) D D D
1) T. Fukuda, T. Zhang, A. Shimizu, M. Taguchi, L. Sun, N. Yabuki, “SOAR: Sensor oriented Mobile
Augmented Reality for Urban Landscape Assessment”, Proceedings of the 17th International
Conference on Computer Aided Architectural Design Research in Asia (CAADRIA), pp.387-396, 2012-4.
23
24. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG
Calculation Procedure of Residual Error
1. Pixel Error: Each difference between the horizontal direction and vertical
direction of four points measured by pixels (Δx, Δy).
⊿x
⊿y Live Image
CG Model
Calculation image of residual error between live video image and CG
2. Distance Error: From the acquired value (Δx, Δy), each difference in the
horizontal direction and vertical direction was computed as a meter unit
by the formula 1 and the formula 2 (ΔX, ΔY).
(1) (2)
W: Actual width of an object (m)
H: Actual height of an object (m)
x: Width of 3DCG model on AR image (px)
y: Height of 3DCG model on AR image (px)
24
25. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG
Results: No.1 AR image
Position Information of Angle Information of
Experim
CG Virtual Camera CG Virtual Camera
ent Latitude Longitude Altitude yaw pitch roll
No.1 S S S S S S
(0.12m/pixel)
No.1 No.2 No.3 No.4
Pixel Error
Max. Mean Min.
Unit
Distance Error
Distance Error Unit:
Unit No.1 No.2 No.3 No.4
26. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG
Results: No.2 AR image
Position Information of Angle Information of
Experim
CG Virtual Camera CG Virtual Camera
ent Latitude Longitude Altitude yaw pitch roll
No.2 D (GIS) D (GIS) D (GIS) S S S
(0.12m/pixel)
No.1 No.2 No.3 No.4
Pixel Error
Max. Mean Min.
Unit
Distance Error
Distance Error Unit:
Unit No.1 No.2 No.3 No.4
27. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG
Results: No.3 AR image
Position Information of Angle Information of
Experim
CG Virtual Camera CG Virtual Camera
ent Latitude Longitude Altitude yaw pitch roll
No.3 D (GIS) D (GIS) D (GIS) D D D
(0.12m/pixel)
No.1 No.2 No.3 No.4
Pixel Error
Max. Mean Min.
Unit
Distance Error
Distance Error Unit:
Unit No.1 No.2 No.3 No.4
28. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG
Results: No.4 AR image
Position Information of Angle Information of
Experim
CG Virtual Camera CG Virtual Camera
ent Latitude Longitude Altitude yaw pitch roll
No.4 D (GPS) D (GPS) D (GPS) D D D
(0.12m/pixel)
No.1 No.2 No.3 No.4
Pixel Error
Max. Mean Min.
Unit
Distance Error
Distance Error Unit:
Unit No.1 No.2 No.3 No.4
29. 3. Verification of System
3.2 Accuracy of geometric consistency with a video image
and 3DCG
Allowable residual error of longitude and latitude: 8m at the
maximum
Result of No.3, the maximum residual error is 6.5 m, a mean
distance error is 2.2 m, and it became smaller than anticipation.
When the mean distance error of No.3 was compared with No.4:
Horizontal: 0.7 m larger
Vertical: 5 m smaller
Proposed GIS technique obtains position data on higher accuracy especially in a
vertical direction rather than GPS.
Max. Mean Min.
6.3m
Distance Error Unit:
3m 2.3m
1.1m 1.3m 1.3m
0.11m
No.1 No.2 No.3 No.4
No.1 No.3 No.4
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30. Outline
1. Introduction
2. System Development
1. Development Environment of a System
2. System Flow
3. Verification of System
1. Consideration of allowable residual error
2. Accuracy of geometric consistency with a video image
and 3DCG
4. Conclusion
30
31. 4. Conclusion
4.1 Conclusion
The developed AR system has geometric consistency using GIS and the
gyroscope with which the smartphone is equipped. Therefore, a user can use
it easily and we can describe it as a system with high flexibility.
In GOAR system, appearance of the residual error of longitude and latitude
by a user specifying a current position on Google Maps and the residual error
of altitude by using 10m meshed DEM is expected. As a result of the
experiment, the maximum residual error of longitude and latitude was 6.5 m,
and the mean distance error was 2.2 m. The maximum residual error of
altitude was 2.6 m and the mean distance error was 1.3 m. Any result
became smaller than assumption.
Consequently, the proposed GOAR system was evaluated as feasible and
effective.
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32. 4. Conclusion
4.2 Future Work
A future work should attempt to reduce the residual error included in the
dynamic value acquired with gyroscope.
It is also necessary to verify accuracy of the residual error to objects
further than 200m away and usability.
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33. Thank you for your attention!
E-mail: fukuda@see.eng.osaka-u.ac.jp
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