Advances in Computer Vision: Volume 2

by C. Brown (Editor), Christopher Brown (Editor)

Overview

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.

Product Details

ISBN-13:	9781134735778
Publisher:	Taylor & Francis
Publication date:	08/21/2013
Sold by:	Barnes & Noble
Format:	eBook
Pages:	200
File size:	8 MB

About the Author

Christopher Brown Department of Computer Science, University of

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;