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[object Object]
Project  DomainProblem Definition Motivations Project Objective ,[object Object]
Other ObjectivesProject Methodology Survey ,[object Object]
Asking ExpertsProject Architecture Challenges Tools Time plan  References
Computer Vision
Machine Learning
Object Classification
Stereo Vision
The primary motivation for our work is helping blind people
Interested In Computer Vision
Interested In Machine Learning
Developing object classification system that may be useful for a large scale of applications. Medical systems Surveillancesystems
Using stereo vision techniques and narration to develop an object recognition system that help blind to independently navigate the surrounding.
Improve segmentation accuracy using depth information.
“Object Categorization by Learned Universal Visual Dictionary” by Microsoft Research
[object Object]
“I think your project is somewhat ambitious for a senior project.” Prof. David G. Stork,[object Object]
Data Acquisition(Stereo Camera) Segmentation Classification Feature Extraction Learned Models Classification Post Processing Depth Estimation Narrator(Text To Speech Engine)
Partial Occlusion
Segmentation Accuracy
Complex Scene
Scale Illumination Rotation
Languages C++ Open Source OpenCV Library Software Visual Studio 2010 Professional Edition Matlab 2010 Hardware Stereo Camera
Books Pattern Classification (2nd Edition) by Richard O. Duda,Peter E. Hart,David G. Stork. Digital Image Processing3rd Ed by Gonzalez and Woods. Computer Vision: Algorithms and Applications by Richard Szeliski, Microsoft Research. Papers Peter Carbonetto, Nando de Freitas, Paul Gustafson and Natalie Thompson. Bayesian feature weighting for unsupervised learning, with application to object recognition. Scott Helmer and David G.Lowe, “Using Stereo for Object Recognition,” International Conference on Robotics and Automation(ICRA), Anchorage, Alaska (May 2010). D. Hoiem, A. Efros, and M. Heber, “Putting Objects In Perspective, ” in CVPR, 2006

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