Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization.
Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.
Publisher: Springer-Verlag New York Inc.
Number of pages: 349
Weight: 563 g
Dimensions: 235 x 155 x 19 mm
Edition: Softcover reprint of the original 1st ed. 200
You may also be interested in...
Please sign in to write a review