Computational Models of Visual Processing

The more than twenty contributions in this book, all new and previously
unpublished, provide an up-to-date survey of contemporary research on computational
modeling of the visual system. The approaches represented range from neurophysiology
to psychophysics, and from retinal function to the analysis of visual cues to
motion, color, texture, and depth. The contributions are linked thematically by a
consistent consideration of the links between empirical data and computational
models in the study of visual function.

An introductory chapter by
Edward Adelson and James Bergen gives a new and elegant formalization of the
elements of early vision. Subsequent sections treat receptors and sampling, models
of neural function, detection and discrimination, color and shading, motion and
texture, and 3D shape. Each section is introduced by a brief topical review and
summary.

ContributorsEdward H. Adelson, Albert
J. Ahumada, Jr., James R. Bergen, David G. Birch, David H. Brainard, Heinrich H.
Bülthoff, Charles Chubb, Nancy J. Coletta, Michael D'Zmura, John P. Frisby, Norma
Graham, Norberto M. Grzywacz, P. William Haake, Michael J. Hawken, David J. Heeger,
Donald C. Hood, Elizabeth B. Johnston, Daniel Kersten, Michael S. Landy, Peter
Lennie, J. Stephen Mansfield, J. Anthony Movshon, Jacob Nachmias, Andrew J. Parker,
Denis G. Pelli, Stephen B. Pollard, R. Clay Reid, Robert Shapley, Carlo L. M. Tiana,
Brian A. Wandell, Andrew B. Watson, David R. Williams, Hugh R. Wilson, Yuede. Yang,
Alan L. Yuille