Focuses not on revelation but eyesight, and not much on the facts of the subject as the principles and practices used in obtaining and processing the facts. Explains how the visual pathway encodes the retinal image, how the neural response within the peripheral and early cortical pathways represents the encoded image, and how we assign to the image perceptual properties such as color, motion, and shape. For vision students. Avoids mathematical symbols and formal arguments except a few sections that assume a background in linear algebra and calculus. Annotation copyright Book News, Inc. Portland, Or.
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It has much to offer everyone who wonders how this most remarkable of all senses works. -- Karen K. De Valois, Science
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Paperback. Condition: Very Good. Designed for students, scientists and engineers interested in learning about the core ideas of vision science, this volume brings together the broad range of data and theory accumulated in this field. The book consists of three sections and an appendix. The first section consists of an introduction and three chapters that describe image encoding. These chapters review optical image formation by the cornea and lens retinal sampling and wavelength-encoding by the photoreceptors. The text's second section consists of four chapters on image representation. The third section reviews how to interpret images in terms of objects. This section features two chapters that review computational and experimental studies of colour appearance, then motion and depth. These chapters are followed by a chapter with many demonstrations concerning object perception. Topics such as colour appearance, cortical colour-blindness, motion flow, motion appearance, motion physiology and visual illusions are also included in this part of the book. "Foundations of Science" is suitable for courses on vision science in psychology, neuroscience, engineering or computer science departments, and is suitable for upper-level undergraduates and graduate students. The text contains special study exercises at the end of most chapters. The questions aim to enrich the main material and point the way to additional material in the literature. Finally, the book has an appendix consisting of four parts: an introduction to linear systems methods; a discussion of monitor calibration; an introduction to Bayesian classifiers; and a discussion of optic flow computation. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # GOR002422206
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