Seeing, second edition: The Computational Approach to Biological Vision (Mit Press)

This comprehensive and thoroughly updated edition of "Seeing" offers a rigorous introduction to the computational approach to understanding biological visual systems, making it the only textbook suitable for both undergraduate and graduate students that takes a consistently computational perspective.

With more than three times its original length, this book leads readers through the problems of vision, from common misconceptions about how seeing works to the minutiae of how neurons collectively encode visual features.

The authors take as their premise David Marr's statement that "to understand vision by studying only neurons is like trying to understand bird flight by studying only feathers," and apply Marr's three different levels of analysis in the study of vision: computational, algorithmic, and hardware implementation.

This book covers a wide range of topics including aftereffects, the retina, receptive fields, object recognition, brain maps, Bayesian perception, motion, color, and stereo.

With its accessible but rigorous approach, "Seeing" is an essential resource for anyone interested in understanding how biological visual systems work.