Advances in computer vision

著者

書誌事項

Advances in computer vision

edited by Christopher Brown

Lawrence Erlbaum Associates, 1988

  • v. 1
  • v. 2

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注記

Includes bibliography and indexes

内容説明・目次

巻冊次

v. 2 ISBN 9780805800920

内容説明

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.

目次

  • 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
巻冊次

v. 1 ISBN 9780898596489

内容説明

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. The first two volumes in the series comprise seven chapters, which together cover much of the scope of computer vision. This is Volume I.

目次

Contents: A. Hanson, E. Riseman, The Visions Image Understanding System. J. Aloimonos, C. Brown, Robust Computation of Intrinsic Images from Multiple Cues. A. Waxman, K. Wohn, Image Flow Theory: A Framework for 3-D Inference From Time-Varying Imagery.

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