Visual Pattern Analyzers

ISBN-13: 9780195148350 / Angielski / Miękka / 2001 / 662 str.

Norma Van Surdam Graham

Opis

The visual system must extract from the light that falls on the retina meaningful information about what is where in our environment. At an early stage it analyzes the incoming sensory data along many dimensions of pattern vision, e.g. spatial frequency, orientation, velocity, eye-of-origin. Visual Pattern Analyzers provides a definitive account of current knowledge about this stage of visual processing. Nowhere else can such a comprehensive summarty of the lower level pattern analyzers be found. The book's emphasis is on psychophysical experiments measuring the detection and identification of near-threshold patterns -- and the mathematical models, such as multidimensional signal-detection theory, used to draw inferences from such experimental results -- but neurophysiological evidence is presented and compared critically to the psychophysical evidence. Introductory material on psychophysical methods, signal detection theory, and the mathematics of Fourier analysis is given in order to make the book more accessible to all who are interested in the lower or higher levels of visual perception. This volume will be of great value to researchers and graduate students in the fields of vision and perception. Within the scientific community there is wide interest in the visual system, and the book will be of use to investigators in many fields, including psychophysics, neuroscience, ophthalmology and optics, computer science, and cognitive and experimental psychology.

Recenzje

"Much more than a review, it is an exceptionally thoughtful overview of the many nuances of the psychophysical decision-making process....We believe that this book is unique. No other text with which we are familiar explores the underpinnings and mechanisms of the detection process to nearly the extent that Graham has done....For anyone interested in visual detection, Graham's book is essential reading." —Stanley A. Klein and Christopher W. Tyler, Journal of Mathematical Psychology