Talking glasses first seminar
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Transcript of Talking glasses first seminar
• Theoretical Areas• Project Domain• Problem Definition• Motivations• Project Objective
o Main Objectiveo Other Objectives
• Project Methodology• Survey
o Related workso Asking Experts
• Project 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.
Surveillance systems
Medical systems
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
• “This field of research is very interesting, but it needs a lot of work to reach to the goals.” Prof. Dr. Mostafa Gadal-Haqq
• “I think your project is somewhat ambitious for a senior project.” Prof. David G. Stork
Classification
Classification
Feature Extraction
Post Processing
Data Acquisition
(Stereo Camera)
Depth Estimation S
egm
enta
tio
n
Narrator(Text To Speech
Engine)
Learned Models
Partial Occlusion
Segmentation Accuracy
Complex Scene
Scale Rotation Illumination
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 Processing 3rd 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