This is an extensive collection of essays on all aspects of vision, approached from the perspective of coding and efficiency. It examines the broad spectrum of vision research from one particular, unifying viewpoint, namely the way that visual systems efficiently encode and represent the outside world. This approach, both rigorous and general, was championed by H.B. Barlow in the fifties and has been followed in many areas of vision research. The approach has recently acquired new significance due to the growing interest of computer science and artificial intelligence in the processes of vision, which attempts to describe visual processes in algorithmic terms, equally relevant to a robotic visual system, the eye of a fly or the complex visual pathways in the human brain.
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Essays on all aspects of vision, approached from the perspective of coding and efficiency, examine the broad spectrum of vision research from one unifying viewpoint, namely the way that visual systems efficiently encode and represent the outside world.
"Readers with prior exposure to image processing or computational aspects of vision will easily appreciate the richness and relevance of research reported in the book. Practicing imaging scientists, especially those seeking to develop new algorithms to address practical issues such as color portability, constancy, and perceptually salient edge detection for compression, will find valuable cues in the form of theoretical and experimental results in this book. Those in academia will certainly find the book packed with many seeds for future thought....a valuable collection of archival contributions and is strongly recommended for every technical library." K. Venkatesh Prasad, Journal of Electronical Imaging
"The book can be recommended for the neurosurgeon interested in the physiology of the senses, especially since it contains the most up-to-date knowledge and newest developments." D. Voth, Neurosurgery Rreview
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