Christopher Brown Department of Computer Science, University of
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 deillegalscription of the scene that is helpful to further reasoning or action concerning the scene.
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;
