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Vision in People and Computers

Carlo Tomasi, Computer Science. Vision in People and Computers. Human Vision. Computer Vision?. Human Vision. ?. Seeing is Interpretation. Seeing is Interpretation. Seeing is Interpretation. Seeing is Recognition. Giuseppe Arcimboldo, 1526-1593. Computer Vision. frog, mushroom.

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Vision in People and Computers

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  1. Carlo Tomasi, Computer Science Vision in People and Computers

  2. Human Vision

  3. Computer Vision?

  4. Human Vision ?

  5. Seeing is Interpretation

  6. Seeing is Interpretation

  7. Seeing is Interpretation

  8. Seeing is Recognition Giuseppe Arcimboldo, 1526-1593

  9. Computer Vision frog, mushroom reconstruction recognition

  10. Reconstruction: Stereo

  11. Triangulation is Easy

  12. Correspondence is Hard ?

  13. It Can be Done (More or Less)

  14. Face Recognition

  15. Recognition: Face Space

  16. Recognition: Face Space

  17. Hardware • HDTV video camera: • 10M pixels, uniform • 30-60 frames per second • 20 Mbits per second (compressed) • Variable field of view up to 1/3 of a sphere • Human eye: • 7M cones in the fovea, 120M rods • 1.2M axons in the optic nerve • 0.6Mbits per second (compressed) • 1/3 of a sphere field of view • 28 arcsec resolution (finger at 30 m)

  18. Hardware • $1M buys you this from Dell: • 1012 operations per second • 1012 bytes of memory • 1015 bytes of disk space • 1012 bytes per second of communication [speed of light 3x108 m/s] • One human brain gets you this: • 1012 neurons • 1015 synapses (connections) [speed of action potential 100-102 m/s]

  19. Comparing Apples and Oranges • David Marr, 1945-1980, Cambridge (UK), MIT • The levels: • Computational: What • Algorithmic: How • Mechanical: Wherewith • Computational goals are the same • Algorithms can be similar • Brains are essentially parallel • Computers are essentially sequential • Mechanical substrate is different

  20. Paying the Bills

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