Spatial vision in humans and robots : the proceedings of the 1991 York Conference on Spatial Vision in Humans and Robots

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Bibliographic Information

Spatial vision in humans and robots : the proceedings of the 1991 York Conference on Spatial Vision in Humans and Robots

edited by Laurence Harris, Michael Jenkin

Cambridge University Press, 1993

Available at  / 46 libraries

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Note

"This book came out of a conference ... took place at York University, Toronto, Canada, from the 19th-22nd June, 1991"--Pref

Bibliography: p. [409]-443

Includes index

Description and Table of Contents

Description

Spatial vision is that field of science which deals with the problem of inferring the structure of the world from vision. This problem can be divided into many separate tasks, such as extracting information about three-dimensional objects, or object recognition. This book is a collection of invited papers presented at the 1991 York Conference on Spatial Vision in Humans and Robots. From computational models to explicit biological models of spatial processing, to neural networks, these papers bring together the biological and computational aspects of spatial image processing in a unique way. The book provides a snapshot of the state of the art in the understanding of spatial vision. This collection will be of interest to biological researchers investigating how the brain solves spatial problems, as well as to researchers in robotics and computer vision systems.

Table of Contents

  • 1. Spatial vision in humans and robots L. Harris and M. Jenkin
  • 2. Spatial vision models: problems and successes S. A. Klein
  • 3. On cytochrome oxidase blobs in visual cortex J. Allman and S . W. Zucker
  • 4. Linear subspace methods for recovering translational direction A. D. Jepson and D. J. Heeger
  • 5. Demodulation and texture vision J. Daugman and C. Downing
  • 6. What makes a good feature? A. D. Jepson and W. Richards
  • 7. Hand-printed digit recognition using deformable models C. Williams, M. Revow and G. Hinton
  • 8. The role of colour in spatial vision K. K. De Valois and F. L. Kooi
  • 9. Nonlinear processes in pattern discrimination and motion perception H. R. Wilson
  • 10. Will robots see? S. A. Klein
  • 11. 3D object recognition and matching: on a result of Basri and Ullman T. Poggio
  • 12. Surface interpolation networks A. P. Pentland
  • 13. Uncertainty models for 2.5D and 3D surfaces R. Szeliski
  • 14. An orientation based representation for contour analysis D. Walters, K. Ganapathy and F. Van Huet
  • 15. Detection and discrimination of motion-defined and luminance-defined two-dimensional form D. Regan
  • 16. An inhibitory beam for attentional selection J. K. Tsotsos
  • 17. Bayesian models, deformable templates, and competitive priors A. L.Yuille and J. J. Clark
  • 18. Cycloversion, cyclovergence and perceived slant I. P. Howard
  • 19. Model of visual motion sensing D. J. Heeger and E. P. Simoncelli
  • 20. Some recent findings in early vision and focal attention B. Julesz.

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