Chapters by some of the most active contributors in the field of visual coding on common models and algorithms.
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Both the biological and computational communities have had to address the task of designing or inferring coding strategies for processing visual information. This volume, by some of the most active contributors in the field of visual coding, illustrates the similarities in the problems considered and the common models and algorithms that are proposed to solve them.
1. Computational and psychophysical mechanisms of visual coding Laurence Harris and Michael Jenkin; 2. Different approaches to the coding of visual segmentation Hans-Christoph Nothdurft; 3. Coding simple shapes for recognition and the human integration of shape descriptors Gregory Dudek, Martin Arguin, Michael Dixon and Daniel Bub; 4. Experiments on motion aftereffects Stuart Anstis; 5. Visuomotor codes for three-dimensional saccades J. Douglas Crawford; 6. Modelling binocular neurons in the primary visual cortex David Fleet, David Heeger and Herman Wagner; 7. Symmetries, structure and schemata in perceptual coding Christopher W. Tyler; 8. The coding of self motion Laurence Harris; 9. Invariant object recognition Edmund T. Rolls; 10. Object representations in the recovery and tracking of 3-D shapes Sven J. Dickenson and Dimitri Metaxas; 11. Coding of position and orientation Dennis M. Levi; 12. A historical review of the imagery debate Heather L. Jenkin; 13. A simple algorithm that discovers efficient perceptual codes Brendan J. Frey, Peter Dayan and Geoffrey E. Hinton.
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