0
<ul><li>Theoretical Areas
Project  Domain</li></ul>Problem Definition<br />Motivations<br />Project Objective<br /><ul><li>Main Objective
Other Objectives</li></ul>Project Methodology<br />Survey<br /><ul><li>Related works
Asking Experts</li></ul>Project Architecture<br />Challenges<br />Tools<br />Time plan <br />References<br />
Computer Vision<br />
Machine Learning<br />
Object Classification<br />
Stereo Vision<br />
The primary motivation for our work is helping blind people<br />
Interested<br />In Computer Vision<br />
Interested<br />In Machine Learning<br />
Developing object classification system that may be useful for a large scale of applications.<br />Medical systems<br />Su...
Using stereo vision techniques and narration to develop an object recognition system that help blind to independently navi...
Improve segmentation accuracy using depth information.<br />
“Object Categorization by Learned Universal Visual Dictionary” by Microsoft Research<br />
<ul><li>“This field of research is very interesting, but it needs a lot of work to reach to the goals.” Prof. Dr. Mostafa ...
“I think your project is somewhat ambitious for a senior project.” Prof. David G. Stork</li></li></ul><li>
Data Acquisition(Stereo Camera)<br />Segmentation<br />Classification<br />Feature Extraction<br />Learned Models<br />Cla...
Partial Occlusion <br />
Segmentation Accuracy<br />
Complex Scene<br />
Scale<br />Illumination<br />Rotation<br />
Languages<br />C++<br />Open Source<br />OpenCV Library<br />Software<br />Visual Studio 2010 Professional Edition<br />Ma...
Books<br />Pattern Classification (2nd Edition) by Richard O. Duda,Peter E. Hart,David G. Stork.<br />Digital Image Proces...
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Talking glasses first seminar

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Transcript of "Talking glasses first seminar"

  1. 1.
  2. 2.
  3. 3.
  4. 4.
  5. 5.
  6. 6. <ul><li>Theoretical Areas
  7. 7. Project Domain</li></ul>Problem Definition<br />Motivations<br />Project Objective<br /><ul><li>Main Objective
  8. 8. Other Objectives</li></ul>Project Methodology<br />Survey<br /><ul><li>Related works
  9. 9. Asking Experts</li></ul>Project Architecture<br />Challenges<br />Tools<br />Time plan <br />References<br />
  10. 10.
  11. 11. Computer Vision<br />
  12. 12. Machine Learning<br />
  13. 13.
  14. 14. Object Classification<br />
  15. 15. Stereo Vision<br />
  16. 16.
  17. 17.
  18. 18.
  19. 19. The primary motivation for our work is helping blind people<br />
  20. 20. Interested<br />In Computer Vision<br />
  21. 21. Interested<br />In Machine Learning<br />
  22. 22.
  23. 23.
  24. 24. Developing object classification system that may be useful for a large scale of applications.<br />Medical systems<br />Surveillancesystems<br />
  25. 25.
  26. 26. Using stereo vision techniques and narration to develop an object recognition system that help blind to independently navigate the surrounding. <br />
  27. 27. Improve segmentation accuracy using depth information.<br />
  28. 28.
  29. 29. “Object Categorization by Learned Universal Visual Dictionary” by Microsoft Research<br />
  30. 30. <ul><li>“This field of research is very interesting, but it needs a lot of work to reach to the goals.” Prof. Dr. Mostafa Gadal-Haqq
  31. 31. “I think your project is somewhat ambitious for a senior project.” Prof. David G. Stork</li></li></ul><li>
  32. 32. Data Acquisition(Stereo Camera)<br />Segmentation<br />Classification<br />Feature Extraction<br />Learned Models<br />Classification<br />Post Processing<br />Depth Estimation<br />Narrator(Text To Speech Engine)<br />
  33. 33.
  34. 34. Partial Occlusion <br />
  35. 35. Segmentation Accuracy<br />
  36. 36. Complex Scene<br />
  37. 37. Scale<br />Illumination<br />Rotation<br />
  38. 38.
  39. 39. Languages<br />C++<br />Open Source<br />OpenCV Library<br />Software<br />Visual Studio 2010 Professional Edition<br />Matlab 2010<br />Hardware<br />Stereo Camera<br />
  40. 40.
  41. 41.
  42. 42.
  43. 43. Books<br />Pattern Classification (2nd Edition) by Richard O. Duda,Peter E. Hart,David G. Stork.<br />Digital Image Processing3rd Ed by Gonzalez and Woods.<br />Computer Vision: Algorithms and Applications by Richard Szeliski, Microsoft Research.<br />Papers<br />Peter Carbonetto, Nando de Freitas, Paul Gustafson and Natalie Thompson. Bayesian feature weighting for unsupervised learning, with application to object recognition.<br />Scott Helmer and David G.Lowe, “Using Stereo for Object Recognition,” International Conference on Robotics and Automation(ICRA), Anchorage, Alaska (May 2010).<br />D. Hoiem, A. Efros, and M. Heber, “Putting Objects In Perspective, ” in CVPR, 2006<br />
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