Description
First Published in 1988. The series Advances in Computer Vision has the goal of presenting current approaches to basic problems that arise in the construction of a computer vision system, written by leading researchers and practitioners in the field. In these volumes, computer vision means computer programs analyzing visual input (like a television image of a three-dimensional scene) and deriving from the image some description of the scene that is helpful to further reasoning or action concerning the scene.
Table of Contents
Chapter 1 The use of the Facet Model and the Topographic Primal Sketch in Image Analysis, Linda G. Shapiro, Robert M. Haralick, Ting-Chuen Pong; Chapter 2 Scaling and Fingerprint Theorems for Zero-Crossings, Alan L. Yuille, Tomaso Poggio; Chapter 3 Form Perception Using Transformation Networks, Dana H. Ballard; Chapter 4 The Parts of Perception, Alex P. Pentland;
