As Digital Still Cameras (DSC) become smaller, cheaper and higher in resolution, photographs are increasingly prone to blurring from shaky hands. Optical image stabilization (OIS) is an effective solution that addresses the quality of images, and is an idea that has been around for at least 30 years. It has only recently made its way into the low-cost consumer camera market, and will soon be migrating to the higher end camera phones. This paper provides an overview of common design practices and considerations for optical image stabilization and how silicon-based MEMS dual-axis gyroscopes with their size, cost and performance advantages are enabling this vital function for image capturing devices
This document provides an overview of an eye gaze communication system. It discusses who can benefit from such a system, including those lacking hands or a voice. It describes how the system works by using a camera and software to track a user's eye movements and select items on screen. It also outlines the various programs and menus available in the system, such as typing, phone, lighting control, and games. Finally, it notes the environment needs to be controlled to limit infrared light for accurate eye tracking.
The document describes E-Ball, a spherical computer measuring 160mm in diameter that contains all the components of a traditional computer. E-Ball uses an LCD projector to project a virtual keyboard and display onto any flat surface. It has features like a wireless mouse, large storage, RAM and processors. To use it, the user presses the power button to open E-Ball and projects the keyboard and screen. E-Ball allows computing in small spaces and on the go. While portable and powerful, it also has high costs and potential hardware issues.
Introduction to Augmented Reality with Unity3D, Vuforia & String
Example implementations (iOS):
Other Side - Pantalla Global:
http://itunes.apple.com/app/other-side/id495565861
The Eye Gaze system allows people with physical disabilities to communicate and interact with their environment using only their eyes. It tracks the user's eye movements to select items on a screen, allowing them to type, operate devices, and use computer programs and the internet. The system has been used by people with conditions like cerebral palsy, ALS, and muscular dystrophy to write books, attend school, and improve their quality of life. It provides an important assistive technology for communication and independence.
This document discusses an eye gaze communication system that allows users to control devices and communicate by looking at on-screen keys and menus. It works by using a camera below a monitor to track a user's eye movements as they look at different areas of the screen. Some key points covered include how the system operates, the types of functions and commands it can be used for, requirements for users, and recent advancements in portable eye tracking technologies.
Computer animation involves creating animation sequences through object definition, path specification, key frames, and in-betweening. There are two main methods for displaying animation sequences: raster animation and color-table animation. Raster animation involves copying frames from memory to the display very quickly, while color-table animation uses a color lookup table to convert logical color numbers in each pixel to physical colors. The document discusses techniques for designing animation sequences like storyboarding, defining objects and paths, specifying key frames, and generating in-between frames. It also covers topics like motion specification using direct motion, goal-directed systems, kinematics, dynamics, and inverse kinematics. Morphing and tweening are introduced as techniques for warping one image into
The document provides a history of digital image processing from the early 1920s to present day. It discusses some of the earliest applications including transmitting newspaper images via submarine cable. Major developments occurred in the 1960s with improved computing enabling enhanced images from space missions. Digital image processing began being used for medical applications in the 1970s. The field has since expanded significantly with uses in areas like astronomy, art, medicine, law enforcement, and more. The document also defines digital images and digital image processing, and outlines some key stages in processing including acquisition, restoration, segmentation, and representation.
VCSELs – Market and Technology Trends 2019 by Yole DéveloppementYole Developpement
New functionalities in smartphone and automotive are boosting the VCSEL market.
More information on https://www.i-micronews.com/products/vcsels-market-and-technology-trends-2019/
This document provides an overview of an eye gaze communication system. It discusses who can benefit from such a system, including those lacking hands or a voice. It describes how the system works by using a camera and software to track a user's eye movements and select items on screen. It also outlines the various programs and menus available in the system, such as typing, phone, lighting control, and games. Finally, it notes the environment needs to be controlled to limit infrared light for accurate eye tracking.
The document describes E-Ball, a spherical computer measuring 160mm in diameter that contains all the components of a traditional computer. E-Ball uses an LCD projector to project a virtual keyboard and display onto any flat surface. It has features like a wireless mouse, large storage, RAM and processors. To use it, the user presses the power button to open E-Ball and projects the keyboard and screen. E-Ball allows computing in small spaces and on the go. While portable and powerful, it also has high costs and potential hardware issues.
Introduction to Augmented Reality with Unity3D, Vuforia & String
Example implementations (iOS):
Other Side - Pantalla Global:
http://itunes.apple.com/app/other-side/id495565861
The Eye Gaze system allows people with physical disabilities to communicate and interact with their environment using only their eyes. It tracks the user's eye movements to select items on a screen, allowing them to type, operate devices, and use computer programs and the internet. The system has been used by people with conditions like cerebral palsy, ALS, and muscular dystrophy to write books, attend school, and improve their quality of life. It provides an important assistive technology for communication and independence.
This document discusses an eye gaze communication system that allows users to control devices and communicate by looking at on-screen keys and menus. It works by using a camera below a monitor to track a user's eye movements as they look at different areas of the screen. Some key points covered include how the system operates, the types of functions and commands it can be used for, requirements for users, and recent advancements in portable eye tracking technologies.
Computer animation involves creating animation sequences through object definition, path specification, key frames, and in-betweening. There are two main methods for displaying animation sequences: raster animation and color-table animation. Raster animation involves copying frames from memory to the display very quickly, while color-table animation uses a color lookup table to convert logical color numbers in each pixel to physical colors. The document discusses techniques for designing animation sequences like storyboarding, defining objects and paths, specifying key frames, and generating in-between frames. It also covers topics like motion specification using direct motion, goal-directed systems, kinematics, dynamics, and inverse kinematics. Morphing and tweening are introduced as techniques for warping one image into
The document provides a history of digital image processing from the early 1920s to present day. It discusses some of the earliest applications including transmitting newspaper images via submarine cable. Major developments occurred in the 1960s with improved computing enabling enhanced images from space missions. Digital image processing began being used for medical applications in the 1970s. The field has since expanded significantly with uses in areas like astronomy, art, medicine, law enforcement, and more. The document also defines digital images and digital image processing, and outlines some key stages in processing including acquisition, restoration, segmentation, and representation.
VCSELs – Market and Technology Trends 2019 by Yole DéveloppementYole Developpement
New functionalities in smartphone and automotive are boosting the VCSEL market.
More information on https://www.i-micronews.com/products/vcsels-market-and-technology-trends-2019/
The eye-gaze-communication-system-1.doc(updated)NIRAJ KUMAR
This document provides an overview of an eye gaze communication system seminar report. It acknowledges those who supported and guided the project. The abstract indicates the eye gaze system allows people with disabilities to communicate and control their environment using only their eyes. It then describes how the system works, who can use it, and the skills and abilities needed, such as good eye control and vision. Medications side effects that could interfere are also outlined.
The document discusses the development of artificial vision technology known as the Argus II retinal prosthesis system. It describes the components of the system, which includes a small implanted electronic device, an external video camera and processing unit. The camera captures images and sends signals to the implant, which stimulates neurons in the retina to allow individuals to perceive patterns of light and basic shapes. While providing an ability to perform some visual tasks, the technology remains limited and very expensive. Future developments aim to reduce costs and further miniaturize the devices using advanced technologies.
The document discusses optical computers and their components. It describes how optical computers use photons rather than electric current to perform computations. This allows optical computers to operate at much higher speeds without generating as much heat. The document outlines several key components that could enable optical computing, such as lasers, fibers, and optical memory. It envisions how optical computers of the future may be much smaller, faster, and more powerful than traditional electronic computers.
Wavelet analysis involves representing a signal as a sum of wavelet functions of varying location and scale. Wavelet transforms allow for efficient video compression by removing spatial and temporal redundancies. Without compression, transmitting uncompressed video would require huge storage and bandwidth. Using wavelet compression, a day of video could be stored using the same space as an uncompressed minute. The discrete wavelet transform decomposes a signal into different frequency subbands, making it suitable for scalable and tolerant video compression standards like JPEG2000. Wavelet compression provides better quality at low bit rates compared to DCT techniques like JPEG.
Digital image processing deals with manipulating digital images through a computer. It focuses on topics like image formation through analog to digital conversion, pixel representation of images, common image file formats like binary, grayscale, and color. Applications of digital image processing include zooming images, adjusting brightness and contrast, as well as uses in television, medicine, pattern recognition, and more. In conclusion, digital image processing has many applications and its use is growing.
The document discusses the E-Ball, a spherical computer designed by Apostol Tnokopvski. The E-Ball is the smallest computer design at 160mm in diameter and runs on the Windows OS. It contains features like a mouse, DVD drive, large screen display, motherboard, hard drive, webcam, and more. It is designed to be placed on two stands and opened by pressing two buttons simultaneously. The E-Ball has a 350-600GB hard drive, 5GB RAM, dual core processor, integrated graphics and sound, and projects a virtual keyboard onto any flat surface. While portable and powerful, E-Balls are very expensive and operating systems may not be compatible.
Electronic paper, or e-paper, is a display technology that mimics the appearance of ordinary ink on paper. Unlike LCD displays which use backlighting, e-paper reflects light like paper and can hold text and images indefinitely without drawing electricity. It was first developed in the 1970s at Xerox PARC. E-paper works through tiny plastic beads or microcapsules embedded in a sheet, each with two sides of different colors. An electric field rotates the beads to display one color or the other. E-paper provides advantages like wide viewing angle, flexibility, low power consumption, and readability in sunlight. However, it also has disadvantages like low refresh rates and needing backlighting for low-
EYE GAZE COMMUNICATION SYSTEM
The Eye gaze System is a communication system for people with complex physical disabilities.
This operates with eyes by looking at control keys displayed on a screen.
This document discusses the development of an artificial retina implant using microelectromechanical systems (MEMS) technology. It begins with an overview of retinal diseases like retinitis pigmentosa and age-related macular degeneration that could be treated with such an implant. It then describes two approaches for retinal implants - the epiretinal approach, which stimulates the ganglion cells, and the subretinal approach, which replaces photoreceptors with photodiodes. The document focuses on the epiretinal implant, outlining its components like a microcable and electrodes, and the microfabrication process used to create the thin polyimide film for the implant. It concludes that MEMS technology can play an
This document discusses how augmented reality technology can benefit businesses. It explains that AR supplements the real world by overlaying digital content and interactions. Several industries that have successfully implemented AR applications are highlighted, including entertainment, healthcare, travel, real estate, and automobiles. The document concludes that visionary business leaders can incorporate AR and VR technologies to better serve customers and uplift their business if implemented properly.
The document discusses face detection technology, including its history from the 1960s, key advances like the Viola-Jones algorithm in 2001, and both its growing capabilities and remaining challenges. Face detection is now fast, automatic, and can identify multiple faces, but still struggles with angle variation. It has many applications in security, attendance tracking, and photography but requires further algorithm improvements to achieve full accuracy.
Micro-electro-mechanical systems (MEMS) combine mechanical and electrical components at the microscale using microfabrication techniques. MEMS are fabricated using processes such as chemical and physical vapor deposition, photolithography, and wet or dry etching to create 3D mechanical structures. Common MEMS materials include metals, polymers, ceramics and semiconductors. MEMS have a wide variety of applications including in automotive, medical, military and consumer electronics as sensors, actuators and microsystems such as accelerometers and gyroscopes. Advantages of MEMS include miniaturization, improved accuracy and reliability while disadvantages include high initial costs and complex design processes.
The document describes an eye gaze communication system that allows people with physical disabilities to control their environment and communicate using only their eyes. The system uses a camera and software to track eye movements and determine what the user is looking at on the screen. It then allows them to synthesize speech, type, access computers and the internet, and more. The system has helped many people with conditions like cerebral palsy, ALS, and more to write, attend school, and improve their quality of life.
The document describes a spherical computer called the E-Ball. The E-Ball was designed by Apostol Tnokovski to be the smallest PC ever made in a spherical shape. It has a projected keyboard and display. The E-Ball has all the features of a traditional computer inside its 160mm round sphere and projects its screen onto walls or paper sheets using an internal projector. It contains components like a virtual keyboard, processor, RAM, hard drive and projector. The E-Ball allows for portable use and large screen presentations but has a very high cost and could be difficult to repair hardware issues.
An ocular prosthesis or artificial eye is a type of craniofacial prosthesis that replaces an absent eye following an enuleatin, evisceration, or orbital exenteration.
The Generic Visual Perception Processor (GVPP) is a chip that mimics the human visual perception system. It can automatically detect and track objects in real-time from a video stream. The GVPP processes visual information as histograms of object locations and velocities. This allows the chip to perform tasks like driving safely, fruit picking, reading and object recognition similarly to the human eye. The GVPP was invented in 1992 and uses a neural network architecture with multiplexing and memory to simulate the work of neurons. It takes weighted sums of inputs and produces outputs to solve problems with minimal programming. The GVPP has applications in automotive, robotics, agriculture, military and other industries involving visual tracking.
A new concept of pc is coming now that is E-Ball Concept pc. The E-Ball concept pc is a sphere shaped computer which is the smallest design among all the laptops and desktops. This computer has all the feature like a traditional computer, elements like keyboard or mouse., dvd, large screen display.
E Ball is designed that pc is be placed on two stands, opens by pressing and holding the two buttons located on each side of the E-Ball pc , this pc is the latest concept technology. The E-Ball is a sphere shaped computer concept which is the smallest design among all the laptops and desktops have ever made.
This PC concept features all the traditional elements like mouse, keyboard, large screen display, DVD recorder, etc, all in an innovative manner. E-Ball is designed to be placed on two stands, opens by simultaneously pressing and holding the two buttons located on each side. After opening the stand and turning ON the PC, pressing the detaching mouse button will allow you to detach the optical mouse from the PC body. This concept features a laser keyboard that can be activated by pressing the particular button. E-Ball is very small, it is having only 6 inch diameter sphere. It is having 120×120mm motherboard.
Video stabilization is a process that smooths shaky camera motion in videos. It works by estimating and compensating for background image motion caused by camera movement. There are different algorithms used depending on the type of scene and motion. Feature-based methods extract and match features between frames to model global motion, while flow-based methods use optical flow. The stabilization process involves two phases: motion estimation and motion smoothing.
This document provides an overview of computer vision presented by team 4BIT Coder. It begins with introductions and then covers the following key points in 3 sentences or less each:
- The goal of computer vision is to understand digital images like the human visual system and allow computers to interpret images.
- Computer vision works through pattern recognition, training on large visual datasets to identify and model objects.
- Applications include smartphones, web search, VR/AR, medical imaging, insurance, and self-driving cars through real-time video processing.
Review of Motion Estimation and Video Stabilization Techniques for Hand Held ...sipij
Video stabilization is a video processing technique to enhance the quality of input video by removing the undesired camera motions. There are various approaches used for stabilizing the captured videos. Most of the existing methods are either very complex or does not perform well for slow and smooth motion of hand held mobile videos. Hence it is desired to synthesis a new stabilized video sequence, by removing the undesired motion between the successive frames of the hand held mobile video. Various 2D and 3D motion models used for the motion estimation and stabilization. The paper presents the review of the various motion models, motion estimation methods and the smoothening techniques. Paper also describes the direct pixel based and feature based methods of estimating the inter frame error. Some of the results of the differential motion estimation are also presented. Finally it closes with a open discussion of research problems in the area of motion estimation and stabilization.
Review Canon Eos 6D comparison made in Nurroziyati, enjoyed and watch !!Nur Roziyati
The document discusses the Canon EOS 6D camera. It provides details about the camera's specifications including its 20.2 megapixel full-frame CMOS sensor, ISO range of 100-25600 that is expandable up to 102400, and built-in WiFi and GPS. It highlights key advantages of the camera such as its high resolution sensor that provides high quality images, wide ISO range for different lighting conditions, and connectivity features of WiFi and GPS. The document also includes tips for using Canon DSLR cameras related to picture styles, exposure, blur techniques, composition, and backgrounds.
The eye-gaze-communication-system-1.doc(updated)NIRAJ KUMAR
This document provides an overview of an eye gaze communication system seminar report. It acknowledges those who supported and guided the project. The abstract indicates the eye gaze system allows people with disabilities to communicate and control their environment using only their eyes. It then describes how the system works, who can use it, and the skills and abilities needed, such as good eye control and vision. Medications side effects that could interfere are also outlined.
The document discusses the development of artificial vision technology known as the Argus II retinal prosthesis system. It describes the components of the system, which includes a small implanted electronic device, an external video camera and processing unit. The camera captures images and sends signals to the implant, which stimulates neurons in the retina to allow individuals to perceive patterns of light and basic shapes. While providing an ability to perform some visual tasks, the technology remains limited and very expensive. Future developments aim to reduce costs and further miniaturize the devices using advanced technologies.
The document discusses optical computers and their components. It describes how optical computers use photons rather than electric current to perform computations. This allows optical computers to operate at much higher speeds without generating as much heat. The document outlines several key components that could enable optical computing, such as lasers, fibers, and optical memory. It envisions how optical computers of the future may be much smaller, faster, and more powerful than traditional electronic computers.
Wavelet analysis involves representing a signal as a sum of wavelet functions of varying location and scale. Wavelet transforms allow for efficient video compression by removing spatial and temporal redundancies. Without compression, transmitting uncompressed video would require huge storage and bandwidth. Using wavelet compression, a day of video could be stored using the same space as an uncompressed minute. The discrete wavelet transform decomposes a signal into different frequency subbands, making it suitable for scalable and tolerant video compression standards like JPEG2000. Wavelet compression provides better quality at low bit rates compared to DCT techniques like JPEG.
Digital image processing deals with manipulating digital images through a computer. It focuses on topics like image formation through analog to digital conversion, pixel representation of images, common image file formats like binary, grayscale, and color. Applications of digital image processing include zooming images, adjusting brightness and contrast, as well as uses in television, medicine, pattern recognition, and more. In conclusion, digital image processing has many applications and its use is growing.
The document discusses the E-Ball, a spherical computer designed by Apostol Tnokopvski. The E-Ball is the smallest computer design at 160mm in diameter and runs on the Windows OS. It contains features like a mouse, DVD drive, large screen display, motherboard, hard drive, webcam, and more. It is designed to be placed on two stands and opened by pressing two buttons simultaneously. The E-Ball has a 350-600GB hard drive, 5GB RAM, dual core processor, integrated graphics and sound, and projects a virtual keyboard onto any flat surface. While portable and powerful, E-Balls are very expensive and operating systems may not be compatible.
Electronic paper, or e-paper, is a display technology that mimics the appearance of ordinary ink on paper. Unlike LCD displays which use backlighting, e-paper reflects light like paper and can hold text and images indefinitely without drawing electricity. It was first developed in the 1970s at Xerox PARC. E-paper works through tiny plastic beads or microcapsules embedded in a sheet, each with two sides of different colors. An electric field rotates the beads to display one color or the other. E-paper provides advantages like wide viewing angle, flexibility, low power consumption, and readability in sunlight. However, it also has disadvantages like low refresh rates and needing backlighting for low-
EYE GAZE COMMUNICATION SYSTEM
The Eye gaze System is a communication system for people with complex physical disabilities.
This operates with eyes by looking at control keys displayed on a screen.
This document discusses the development of an artificial retina implant using microelectromechanical systems (MEMS) technology. It begins with an overview of retinal diseases like retinitis pigmentosa and age-related macular degeneration that could be treated with such an implant. It then describes two approaches for retinal implants - the epiretinal approach, which stimulates the ganglion cells, and the subretinal approach, which replaces photoreceptors with photodiodes. The document focuses on the epiretinal implant, outlining its components like a microcable and electrodes, and the microfabrication process used to create the thin polyimide film for the implant. It concludes that MEMS technology can play an
This document discusses how augmented reality technology can benefit businesses. It explains that AR supplements the real world by overlaying digital content and interactions. Several industries that have successfully implemented AR applications are highlighted, including entertainment, healthcare, travel, real estate, and automobiles. The document concludes that visionary business leaders can incorporate AR and VR technologies to better serve customers and uplift their business if implemented properly.
The document discusses face detection technology, including its history from the 1960s, key advances like the Viola-Jones algorithm in 2001, and both its growing capabilities and remaining challenges. Face detection is now fast, automatic, and can identify multiple faces, but still struggles with angle variation. It has many applications in security, attendance tracking, and photography but requires further algorithm improvements to achieve full accuracy.
Micro-electro-mechanical systems (MEMS) combine mechanical and electrical components at the microscale using microfabrication techniques. MEMS are fabricated using processes such as chemical and physical vapor deposition, photolithography, and wet or dry etching to create 3D mechanical structures. Common MEMS materials include metals, polymers, ceramics and semiconductors. MEMS have a wide variety of applications including in automotive, medical, military and consumer electronics as sensors, actuators and microsystems such as accelerometers and gyroscopes. Advantages of MEMS include miniaturization, improved accuracy and reliability while disadvantages include high initial costs and complex design processes.
The document describes an eye gaze communication system that allows people with physical disabilities to control their environment and communicate using only their eyes. The system uses a camera and software to track eye movements and determine what the user is looking at on the screen. It then allows them to synthesize speech, type, access computers and the internet, and more. The system has helped many people with conditions like cerebral palsy, ALS, and more to write, attend school, and improve their quality of life.
The document describes a spherical computer called the E-Ball. The E-Ball was designed by Apostol Tnokovski to be the smallest PC ever made in a spherical shape. It has a projected keyboard and display. The E-Ball has all the features of a traditional computer inside its 160mm round sphere and projects its screen onto walls or paper sheets using an internal projector. It contains components like a virtual keyboard, processor, RAM, hard drive and projector. The E-Ball allows for portable use and large screen presentations but has a very high cost and could be difficult to repair hardware issues.
An ocular prosthesis or artificial eye is a type of craniofacial prosthesis that replaces an absent eye following an enuleatin, evisceration, or orbital exenteration.
The Generic Visual Perception Processor (GVPP) is a chip that mimics the human visual perception system. It can automatically detect and track objects in real-time from a video stream. The GVPP processes visual information as histograms of object locations and velocities. This allows the chip to perform tasks like driving safely, fruit picking, reading and object recognition similarly to the human eye. The GVPP was invented in 1992 and uses a neural network architecture with multiplexing and memory to simulate the work of neurons. It takes weighted sums of inputs and produces outputs to solve problems with minimal programming. The GVPP has applications in automotive, robotics, agriculture, military and other industries involving visual tracking.
A new concept of pc is coming now that is E-Ball Concept pc. The E-Ball concept pc is a sphere shaped computer which is the smallest design among all the laptops and desktops. This computer has all the feature like a traditional computer, elements like keyboard or mouse., dvd, large screen display.
E Ball is designed that pc is be placed on two stands, opens by pressing and holding the two buttons located on each side of the E-Ball pc , this pc is the latest concept technology. The E-Ball is a sphere shaped computer concept which is the smallest design among all the laptops and desktops have ever made.
This PC concept features all the traditional elements like mouse, keyboard, large screen display, DVD recorder, etc, all in an innovative manner. E-Ball is designed to be placed on two stands, opens by simultaneously pressing and holding the two buttons located on each side. After opening the stand and turning ON the PC, pressing the detaching mouse button will allow you to detach the optical mouse from the PC body. This concept features a laser keyboard that can be activated by pressing the particular button. E-Ball is very small, it is having only 6 inch diameter sphere. It is having 120×120mm motherboard.
Video stabilization is a process that smooths shaky camera motion in videos. It works by estimating and compensating for background image motion caused by camera movement. There are different algorithms used depending on the type of scene and motion. Feature-based methods extract and match features between frames to model global motion, while flow-based methods use optical flow. The stabilization process involves two phases: motion estimation and motion smoothing.
This document provides an overview of computer vision presented by team 4BIT Coder. It begins with introductions and then covers the following key points in 3 sentences or less each:
- The goal of computer vision is to understand digital images like the human visual system and allow computers to interpret images.
- Computer vision works through pattern recognition, training on large visual datasets to identify and model objects.
- Applications include smartphones, web search, VR/AR, medical imaging, insurance, and self-driving cars through real-time video processing.
Review of Motion Estimation and Video Stabilization Techniques for Hand Held ...sipij
Video stabilization is a video processing technique to enhance the quality of input video by removing the undesired camera motions. There are various approaches used for stabilizing the captured videos. Most of the existing methods are either very complex or does not perform well for slow and smooth motion of hand held mobile videos. Hence it is desired to synthesis a new stabilized video sequence, by removing the undesired motion between the successive frames of the hand held mobile video. Various 2D and 3D motion models used for the motion estimation and stabilization. The paper presents the review of the various motion models, motion estimation methods and the smoothening techniques. Paper also describes the direct pixel based and feature based methods of estimating the inter frame error. Some of the results of the differential motion estimation are also presented. Finally it closes with a open discussion of research problems in the area of motion estimation and stabilization.
Review Canon Eos 6D comparison made in Nurroziyati, enjoyed and watch !!Nur Roziyati
The document discusses the Canon EOS 6D camera. It provides details about the camera's specifications including its 20.2 megapixel full-frame CMOS sensor, ISO range of 100-25600 that is expandable up to 102400, and built-in WiFi and GPS. It highlights key advantages of the camera such as its high resolution sensor that provides high quality images, wide ISO range for different lighting conditions, and connectivity features of WiFi and GPS. The document also includes tips for using Canon DSLR cameras related to picture styles, exposure, blur techniques, composition, and backgrounds.
A Fast Single-Pixel Laser Imager for VR/AR Headset TrackingPing Hsu
In this work we demonstrate a highly flexible laser imaging system for 3D sensing applications such as in tracking of VR/AR headsets, hands and gestures. The system uses a MEMS mirror scan module to transmit low power laser pulses over programmable areas within a field of view and uses a single photodiode to measure the reflected light...
Remote HD and 3D image processing challenges in Embedded Systems
The Modern Applications has increased the complexity and demands of the video processing features and subsequent image data transfer.
The Image Processing mission will typically comprise three key elements: data capture, data processing, and data transmission. In addition, applications such as Recognition and data fusion have a need for time sensitivity, spatial awareness, and mutual awareness to correctly understand and utilize the data.
Low-latency processing and transmission are key performance metrics, particularly where there is a human operator and key decision maker situated in a location remote from the point of data gathering. An examination of key considerations – sensor processing location trends, video fusion, and video compression and bandwidth, in addition to Size, Weight, and Power
The document introduces Sony's new 9 full-frame mirrorless camera. Key features highlighted include:
- A 24.2 megapixel stacked CMOS sensor that enables blackout-free continuous shooting at up to 20 frames per second with 693 phase-detection autofocus points covering 93% of the frame.
- An advanced BIONZ X processor that supports high-speed shooting and improved image quality even at high ISO sensitivities.
- A quad-VGA OLED electronic viewfinder with a 120Hz refresh rate for smooth viewing. 5-axis optical image stabilization provides a 5-stop shutter speed advantage.
- Dual media slots, extended battery life, and optional vertical grip
The document discusses various factors that affect the mapping of light intensity arriving at a camera lens to digital pixel values stored in an image file. It describes the radiometric response function, vignetting, and point spread function, which characterize how light is mapped and degraded by the camera imaging system. Sources of noise during image sensing and processing steps are also outlined. Methods to model and remove vignetting effects as well as deconvolve blur and noise in images using estimated point spread functions and noise levels are presented.
Survey Paper for Different Video Stabilization TechniquesIRJET Journal
This document summarizes and compares three video stabilization techniques: Scale Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and block-based methods. SIFT extracts distinctive keypoints from videos that are invariant to scale and rotation, but it is computationally slow. SURF is faster than SIFT and also extracts robust features. Block-based methods partition video frames into macroblocks and estimate motion between frames by block matching, using metrics like mean absolute difference. It has lower complexity than SIFT and SURF but provides good stability for video stabilization. The document analyzes the performance of these techniques and their application in video stabilization.
IRJET- A Non Uniformity Process using High Picture Range QualityIRJET Journal
This document discusses image compression techniques using high picture quality. It proposes a non-uniformity process that can compress entire images and videos to low storage space while maintaining high quality. The process dynamically selects images for compression based on their properties. It implements encoding and decoding algorithms with quantization to reconstruct compressed data efficiently while fully compressing videos and images. This achieves high coding efficiency and reduces storage requirements for images and videos.
This document discusses omnidirectional vision systems and their potential applications in manufacturing. It begins with an overview of vision systems and outlines new technologies like 3D omnidirectional systems. It then describes how such systems work using multiple cameras and mirrors to achieve 360 degree views. Existing applications in robots, drones, and automated assembly are reviewed. Finally, the document proposes ways omnidirectional vision could improve safety, quality control, and efficiency in manufacturing applications like automated guided vehicles.
A review on automatic wavelet based nonlinear image enhancement for aerial ...IAEME Publication
This document summarizes an article from the International Journal of Electronics and Communication Engineering & Technology about improving aerial imagery through automatic wavelet-based nonlinear image enhancement. It discusses how aerial images often have low clarity due to atmospheric effects and limited dynamic range of cameras. The proposed method uses wavelet-based dynamic range compression to enhance aerial images while preserving local contrast and tonal rendition. It applies techniques like nonlinear processing, selective enhancement based on the human visual system, and uses Gabor filters for high-pass filtering to generate a enhanced image. The results of applying this algorithm to various aerial images show strong robustness and improved image quality.
Survey on Image Integration of Misaligned ImagesIRJET Journal
The document discusses methods for integrating misaligned images to improve image quality under low lighting conditions. It reviews previous works that combine images like flash/no-flash pairs to transfer details and color, but have limitations when images are misaligned. The paper proposes a new method using a long-exposure image and flash image that introduces a local linear model to transfer color while maintaining natural colors and high contrast, without deteriorating contrast for misaligned pairs. It concludes that handling misaligned images remains a challenge with existing methods and further work is needed.
Motion capture is the process of recording movements of humans or objects and translating that data into digital form that can be used in films, games, and other media. It works by tracking markers placed on actors' bodies and using multiple synchronized cameras to triangulate the 3D positions over time. Early motion capture used mechanical exoskeletons connected to joints, but modern optical systems track passive reflective markers with cameras in the infrared spectrum. Optical motion capture is now commonly used in film production due to its accuracy and ability to capture complex performances without wires or sensors restricting movement.
This paper describes and implements an authentication resolutionmistreatmentstatistics, digital certificates and sensible cards to unravelthe protectiondownsidewithin the authentication method. The primaryhalfmay be a general introduction to the subject; the second may be atemporarysummaryregardingmistreatmentstatistics, a lot ofprecisely hand vein pattern. The third half presents a way of extracting the pattern vein of the rear of the hand additionallya way to match 2 templates. The fourth presents the 2 necessary phases in any authentication system: the enrolment and therefore the authentication. A projected authentication protocol is delineated too. The twenty percent generalize the attainable attacks and vulnerabilities during abiometric identification system and it additionally shows however our system is ready to avoid them .The sixth half talks regarding the implementation of the applying. Finally, within the conclusion, we tend to tried to summarize our work and prove the advantages of mistreatmentthis technique.
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Ois report
1. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 1
CHAPTER 1
INTRODUCTION
Image Stabilization (IS) technology has been considered essential to delivering improved image
quality in professional cameras. More recently, as a result of advancing technology, IS has become
increasingly popular to handheld device makers who want to propose high-end features for their
products. So, manufacturers like ST have worked hard on its technologies and methods for image
stabilization to significantly improve camera shutter speed and to offer precise suppression of camera
vibration. Today, from the technologic point of view, Digital Image Stabilization (DIS), Electronics
Image Stabilization (EIS) and Optical Image Stabilization (OIS) are the best understood and the
easiest to integrate in digital still cameras and smartphones, though they can produce different
image- quality results: in fact, DIS and EIS require large memory and computational resources on the
hosting devices, while OIS acts directly on the lens position itself and minimizes memory and
computation demands on from the host. As an electro-mechanical method, lens stabilization (optical
unit) is the most effective method for removing blurring effects from involuntary hand motion or
shaking of the camera.
Whether capturing still images or recording moving video, image stabilization will always be a
major factor in reproducing a near perfect digital replica. A lack thereof will result in image
distortion through pixel blurring and the creation of unwanted artifacts. While media capturing
devices such as digital cameras, digital camcorders, mobile phones, and tablets have decreased in
physical size, their requirements for pixel count density and resolution quality have increased
drastically over the last decade and will continue to rise. The market shift to compact mobile devices
with high megapixel capturing ability has created a demand for advanced stabilization techniques.
Two methods, electronic image stabilization (EIS) and optical image stabilization (OIS), are the most
common implementations.
2. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 2
CHAPTER 2
IMAGE STABILIZATION TECHNIQUES
There are two types of techniques
1. Optical image stabilization
2. Electronic image stabilization
2.1 OPTICAL IMAGE STABILIZATION:
An optical image stabilization system usually relies on gyroscopes or accelerometers to detect and
measure camera vibrations. The readings, typically limited to pan and tilt, are then relayed to
actuators that move a lens in the optical chain to compensate for the camera motion. In some designs,
the favored solution is instead to move the image sensor, for example using small linear motors.
Either method is able to compensate the shaking of camera and lens, so that light can strike the
image sensor in the same fashion as if the camera was not vibrating. Optical image stabilization is
particularly useful when using long focal lengths and works well also in low light conditions.
Optical image stabilization is used to reduce blurring associated with motion and/or shaking of the
camera during the time the image sensor is exposed to the capturing environment. However, it does
not prevent motion blur caused by movement of the target subject or extreme movements of the
camera itself, only the relatively small shaking of the camera lens by the user – within a few optical
degrees. This camera-user movement can be characterized by its pan and tilt components, where the
angular movements are known as yaw and pitch, respectively. Camera roll cannot be compensated
since 'rolling' the lens doesn't actually change/compensate for the roll motion, and therefore does not
have any effect on the image itself, relative to the image sensor.
3. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 3
2.2 ELECTRONIC IMAGE STABILIZATION:
EIS is a digital image compensation technique which uses complex algorithms to compare frame
contrast and pixel location for each changing frame. Pixels on the image border provide the buffer
needed for motion compensation. An EIS algorithm calculates the subtle differences between each
frame and then the results are used to interpolate new frames to reduce the sense of motion. Though
the advantage with this method is the ability to create inexpensive and compact solutions, the
resulting image quality will always be reduced due to image scaling and image signal post-
processing artifacts and more power will be required for taking additional image captures and for the
resulting image processing.
EIS systems also suffer when at full electronic zoom (long field-of-view) and under low-light
conditions. Electronic image stabilization, also known as digital image stabilization, has primarily
been developed for video cameras. Electronic image stabilization relies on different algorithms for
modeling camera motion, which then are used to correct the images. Pixels outside the border of the
visible image are used as a buffer for motion and the information on these pixels can then be used to
shift the electronic image from frame to frame, enough to counterbalance the motion and create a
stream of stable video.
Although the technique is cost efficient, mainly because there is no need for moving parts, it has one
shortcoming which is its dependence on the input from the image sensor. For instance, the system
can have difficulties in distinguishing perceived motion caused by an object passing quickly in front
of the camera from physical motion induced by vibrations.
4. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 4
CHAPTER 3
COMPARISON OF OIS & EIS TECHNIQUES
Fig.3.1 OIS and EIS Image Quality Comparison
Comparison to EIS, OIS systems reduce image blurring without significantly sacrificing image
quality, especially for low-light and long-range image capture. However, due to the addition of
actuators and the need for power driving sources compared to no additional hardware with EIS, OIS
modules tend to be larger and as a result are more expensive to implement.
EIS suffers when at full electronic zoom (Long field of view) and under low light conditions.
EIS requires large memory & computational resources on the hosting device compared to
OIS
5. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 5
CHAPTER 4
OIS BEHAVIOR
OIS is a mechanical technique used in imaging devices to stabilize the recording image by
controlling the optical path to the image sensor. The two main methods of OIS in compact camera
modules are implemented by either moving the position of the lens (lens shift) or the module itself
(module tilt).Camera movements by the user can cause misalignment of the optical path between the
focusing lens and center of the image sensor. In an OIS system using the lens shift method, only the
lens within the camera module is controlled and used to realign the optical path to the center of the
image sensor. In contrast, the module tilt method controls the movement of the entire module,
including the fixed lens and image sensor.
Module tilt allows for a greater range of movement compensation by the OIS system, with the largest
tradeoff being increased module height. Minimal image distortion is also achieved with module tilt
due to the fixed focal length between the lens and image sensor. Overall, in comparison to EIS, OIS
systems reduce image blurring without significantly sacrificing image quality, especially for low-
light and long-range image capture. However, due to the addition of actuators and the need for power
driving sources compared to no additional hardware with EIS, OIS modules tend to be larger and as a
result are more expensive to implement.
Fig.4.1 Main Methods of OIS Compensation
6. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 6
CHAPTER 5
OIS PRINCIPLE
Fig. 5.1 OIS compensation
The basic principle underlying OIS is simplified in Figure 5.1 where the movement effects are
amplified and represented on a single axis, for the sake of clarity. Let’s suppose we take a picture of
a non-moving object in which the shutter remains open for a time interval equal to ∆t; if no
compensation occurs (Figure a), the involuntary rotation of the camera generates a distribution of the
light cone, over a single pixel, splattered on a segment indicated in Figure a by A-B. Clearly, this
phenomenon occurs across the whole image sensor, causing a blurred image.
Otherwise, when optical stabilization occurs (Figure b), the lens moves opposite to the direction of
the camera shake and the image results to be stabilized (i.e. the subject acquired in t1 coincides with
image acquired in t 0).
7. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 7
CHAPTER 6
BLOCK DIAGRAM OF OIS
Fig. 6.1 OIS High level block diagram.
Blur due to hand jitter is reduced by mechanically stabilizing the camera. A two axis gyroscope is
used to measure the movement of the camera, and a microcontroller directs that signal to small linear
motors that move the image sensor, compensating for the camera motion. Other designs move a lens
somewhere in the optical chain within the camera. A typical high-level block diagram. With either
method, the result is that the body of the camera may shake, but light strikes the pixels of the image
sensor as though the camera were not shaking.
8. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 8
1) Sensor Requirements:
For an OIS system to function properly, the sensors, actuators, and electronics must be carefully
chosen. A newcomer to this field may immediately wonders why gyroscopes are used in image
stabilization, rather than other sensors, such as accelerometers. A gyroscope Measures the rotation
about an axis, where rotations about X, Y, and Z axes for a given Object are referred to as roll, pitch,
and yaw.
2) Gyroscopes:
Gyroscopes are employed in IS systems to sense pitch and yaw with low noise and high sensitivity in
order to resolve the small movements associated with hand jitter. Typically, these systems require a
full-scale range of +/-30 degrees per second, with at least 10-bit resolution.
3) Actuator Requirements:
Actuators for OIS systems must be small, low-power, and accurate for tiny movements. The range of
movement required by an OIS actuator depends on the optics of the system, but the desired outcome
is an ability to compensate for ±1º of rotation. The most common actuator is the voice coil, an
electromagnetic linear motor, used to drive the lens.
9. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 9
CHAPTER 7
ADVANTAGES & DISADVANTAGES
7.1 ADVANTAGES
OIS systems reduce image blurring without significantly sacrificing image quality, especially
for low-light and long-range image capture.
Optical Image Stabilization technology is an effective solution for minimizing the effects of
involuntary camera shake or vibration.
Optical image stabilization directly acts on the lens position itself it reduces memory
requirement.
Optical image stabilization minimizes computational resources on the hosting device.
7.2DISADVATAGES
Two main challenges in the development of OIS in smartphones and digital cameras are size
and cost. The additional hardware required to implement OIS it increases the total cost of
camera, and increases the camera’s size.
10. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 10
CHAPTER 8
APPLICATIONS
Smartphones: The introduction of optical Image Stabilization in several mobile platforms
has been a significant added value for photography lovers and especially for younger users,
who replaced their traditional and bulky cameras with brand-new smartphones—or had
cameras available to record memories simply because those cameras were embedded in the
mobile platform they were already carrying.
Digital cameras: Optical Image Stabilization technology is an effective solution for
minimizing the effects of involuntary camera shake or vibration in digital cameras. It senses
the vibration on the hosting system and compensates for these camera movements to reduce
hand-jitter effects.
11. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 11
CONCLUSION
Gyroscope-based optical and electronic image stabilization systems are mature and proven
technologies that address the quality of images. OIS has been penetrating the DSC market rapidly,
and as camera resolutions continue to increase, optical image stabilization is expected to become as
standard a function as autofocus on every DSC. As engineers struggle to pack advanced technologies
into the scarce and premium real estates of handsets, small size and low cost are at the top of their
lists. With the fast pace of increased CMOS sensors pixel densities and feature offerings, such as
auto focus and optical zoom, OIS entered into the camera phone market as a prominent feature.
12. Optical Image Stabilization Technology
Dept. of Electronics and Communication, HIT Nidasoshi 12
REFERENCES
1. Seung-Kwon Lee, Jin-Hyeung Kong, ―An Implementation of Closed-loop Optical Image
Stabilization System for Mobile Camera‖, Dongwoon Anatech. Co. Ltd., Kwangwoon
University, 2014.
2. L. K. Lai, T. S. Liu, ― DESIGN OF AUTO-FOCUSING MODULES IN CELL PHONE
CAMERAS ―, Department of Mechanical Engineering, National Chiao Tung University,
Hsinchu 30010, Taiwan, INTERNATIONAL JOURNAL ON SMART SENSING AND
INTELLIGENT SYSTEMS VOL. 4, NO. 4, DECEMBER 2011.
3. Paresh Rawat, Jyoti Singhai, ― Review of Motion Estimation and Video Stabilization
techniques for hand held mobile video ‖, Signal & Image Processing : An International
Journal (SIPIJ) Vol.2, No.2, June 2011.
4. Kazuki NISHI, Tsubasa ONDA, ― EVALUATION SYSTEM FOR CAMERA SHAKE AND
IMAGE STABILIZERS ‖, The University of Electro-Communications, Tokyo 182-8585,
Japan, IEEE, ICME 2010.