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Vision: A Computational Investigation into the Human Representation and Processing of Visual Information (MIT Press) Paperback – July 9, 2010
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About the Author
David Courtnay Marr (1945-1980), one of the originators of the field of computational neuroscience, was Professor of Psychology at MIT. Shimon Ullman is Samy and Ruth Cohn Professor of Computer Science at the Weizmann Institute of Science, Rehovot, Israel. Tomaso Poggio is Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at MIT. Both Ullman and Poggio both worked with David Marr at MIT.
Tomaso Poggio is Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at MIT.
Top Customer Reviews
For example, to mention just a few of his important ideas, Marr's demonstrations that retinal receptive field geometry could be derived by Fourier transformation of spatial frequency sensitivity data, that edges and contours could be detected by finding zero crossings in the light gradient by taking the Laplacian or second directional derivative, that excitatory and inhibitory receptive fields could be constructed from "DOG" functions (the difference of two Gaussians), and that the visual system used a two-dimensional convolution integral with a Gaussian prefilter as an operator for bandwidth optimation on the retinal light distribution, were more powerful than anything that had been seen up to that time.
It was as if vision research suddenly acquired its own Principia Mathematica, or perhaps General Relativity Theory, in terms of the new explanatory power Marr's theories provided. Truly an extraordinary book from an extraordinary thinker in the area of perception, vision, and the brain.
I found the beginning of the book especially engaging, with an introduction to what human vision can do and how little we know about it. The rest of the book serves a separate purpose, namely to present an elaborate argument for the computational study of vision and Marr's own hypotheses, and interwoven proofs for both the approach and theories presented. During the introduction to Marr's thought process in Chapter 1, I did not want to put the book down. Chapter 2, on low-level representation, was a little difficult to swallow since I am more interested in the recognition and algorithmic approaches of the brain, but my patience was rewarded with the remaining chapters. The forward and afterward by those that perhaps knew Marr the best are a real treasure as well; too young to have known what an impact Marr was making the field, I appreciate the brief glimpse of this man that I was given through these two supplemental sections.
David Marr's writing style is conversational. He invites the reader to see the study of vision the way he sees it, and he uses first person narrative without hesitation. However, the book would hardly be labeled a 'quick read,' or a 'bedside book.' The technical content was a bit overwhelming at first to me, though the supplemental figures peppered throughout the book helped significantly. Marr's main thoughts were easy to follow because he heavily outlined his work not only in chapters and subheadings, but also lists and bulleted arguments embedded within the chapters.Read more ›
Most Recent Customer Reviews
I bought this book to read on my kindle device but the format is not supported...really sadPublished 17 months ago by Fox Run Non-Stick 8-Inch Springform Pan
Really just a summary of an early edge detection model, but still fascinating to see what people were doing in computer vision in the 1980s.Published 18 months ago by Kyle Wilshusen
This book is still relevant today, and provides the proper structure for understanding Visual Perception. Read morePublished on January 6, 2013 by William Thompson
This book is interesting in the respect that it takes a biological view on computational vision. I do recommend it for that perspective which is certainly valuable. Read morePublished on December 3, 2005 by A Jain