Download presentation
Presentation is loading. Please wait.
Published byDorthy Lindsey Modified over 9 years ago
1
Carlo Tomasi, Computer Science
2
Human Vision
3
Computer Vision?
4
Human Vision ?
5
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
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: 10 12 operations per second 10 12 bytes of memory 10 15 bytes of disk space 10 12 bytes per second of communication [speed of light 3x10 8 m/s] One human brain gets you this: 10 12 neurons 10 15 synapses (connections) [speed of action potential 10 0 -10 2 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
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.