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Computer Vision

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  1. Seminar on Media Technology Computer Vision • Albert Alemany Font

  2. Outlines • Introduction • What is computer vision and why this topic • History of computer vision and related disciplines • Applications • Face/smile detection, OCR, object recognition, medical imaging, ... • Conclusions • References

  3. What is computer vision? • Traffic scene • Number of vehicles • Type of vehicles • Location of closest obstacle • Assessment of congestion • Location of the scene captures • ... Given an image or more, extract properties of the 3D world

  4. Related disciplines

  5. History of computer vision • 1950′s – Two dimensional imaging for statistical pattern recognition developed • 1960′s – Roberts begins studying 3D machine vision • 1970′s – MIT’s Artificial Intelligence Lab opens a "Computer Vision" course • 1980’s – New theories and concepts emerging. Shift toward geometry and increased mathematical rigor • 1990’s – Face recognition. Statistical analysis in vogue • 2000’s – Broader recognition. Large annotated datasets available. Video processing starts

  6. Finding people in images "Yes" instances

  7. Finding people in images "No" instances

  8. Face detection Face detection in digital cameras • The camera detects faces in a scene and then automatically focus (AF) and optimizes exposure (AE) and, if needed, flash output

  9. Smile detection

  10. Optical character recognition (OCR) Technology to convert scanned docs to text

  11. Vision-based biometrics 1984 - Right eye processed image Photographer: Steve McCurry How the Afghan girl was identified by her iris pattern: http://www.cl.cam.ac.uk/~jgd1000/afghan.html 2002 - Right eye processed image

  12. Object recognition • Google goggles • Lincoln Microsoft Research Query image Matching image Webpage

  13. Mimic human behaviour?

  14. Limits of human vision

  15. Limits of human vision

  16. Vision evolution Google reCaptcha

  17. Making the invisible visible Raw version Eulerian Video Magnification for Revealing Subtle Changes in the World SIGGRAPH 2012 http://people.csail.mit.edu/mrub/vidmag/

  18. Making the invisible visible Magnified version Eulerian Video Magnification for Revealing Subtle Changes in the World SIGGRAPH 2012 http://people.csail.mit.edu/mrub/vidmag/

  19. Smart cars www.mobileye.com

  20. Medical imaging 3D Imaging Image guided surgery

  21. Special effects: shape capture The Matrix movies, ESC Entertainment

  22. Special effects: shape capture

  23. Special effects: motion capture Pirates of the caribbean, Industrial Light and Magic

  24. Video-based interaction: gaming Microsoft Natal Sony Eyetoy

  25. Image mosaic • 3D from multiple images • 3D from one image • "Big" image from other images/video

  26. Image mosaic

  27. Supermarket scanner

  28. Conclusions

  29. References • Richard Szeliski (2010). Computer Vision: Algorithms and Applications. Springer-Verlag. • Gérard Medioni and Sing Bing Kang (2004). Emerging Topics in Computer Vision. Prentice Hall. • Pedram Azad, Tilo Gockel, Rüdiger Dillmann (2008). Computer Vision – Principles and Practice. Elektor International Media BV. • http://people.csail.mit.edu/mrub/vidmag/ • http://www.cvpapers.com/

  30. Thank you for your attention