Visual Pattern Analyzers

ISBN-13: 9780195051544 / Angielski / Twarda / 1989 / 670 str.

Norma V. 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

The final chapter gives a comprehensive breakdown and listing of hundreds of parametric studies on visual analysers, and it is followed by an Appendix listing the 92 assumptions made throughout the book. Such rigour is one of the book's major attractions.

Spis treści

PART I: Introduction; Neurophysiology and psychophysics; Some mathematics: PART II: Adaption; Models of selective effects: PART III: Summation; Models for far-apart values; Far-apart values on spatial dimensions; Close values on spatial dimensions; PART IV: Uncertainty; Extrinsic uncertainty and summation revisited; Intrinsic uncertainty and transducer functions; PART V: Identification; Discrimination; Three more paradigms and transducer functions; PART VI: Multiple dimensions; Some general considerations; Results of analyser-revealing experiments; Results of parametric experiments; PART VII: Epilogue; The assumptions revisited.