Research Catalog

Empirical evaluation methods in computer vision

Title
Empirical evaluation methods in computer vision / editors, Henrik I. Christensen, P. Jonathon Phillips.
Publication
River Edge, N.J. : World Scientific, [2002], ©2002.

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Additional Authors
  • Christensen, H. I. (Henrik I.), 1962-
  • Phillips, P. Jonathon.
Description
ix, 159 pages : illustrations; 24 cm.
Summary
  • "This book provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the overall system has a guaranteed performance.".
  • "The book contains articles that cover the design of experiments for evaluation, range image segmentation, the evaluation of face recognition and diffusion methods, image matching using correlation methods, and the performance of medical image processing algorithms."--BOOK JACKET.
Series Statement
Series in machine perception and artificial intelligence ; v. 50
Uniform Title
Series in machine perception and artificial intelligence ; v. 50.
Subject
Computer vision > Evaluation > Congresses
Note
  • All but two contributions are revised papers from a workshop held in 2000.
Bibliography (note)
  • Includes bibliographical references.
Contents
Ch. 1. Automated Performance Evaluation of Range Image Segmentation Algorithms -- Ch. 2. Training/Test Data Partitioning for Empirical Performance Evaluation -- Ch. 3. Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures -- Ch. 4. Design of a Visual System for Detecting Natural Events by the Use of an Independent Visual Estimate: A Human Fall Detector -- Ch. 5. Task-Based Evaluation of Image Filtering within a Class of Geometry-Driven-Diffusion Algorithms -- Ch. 6. A Comparative Analysis of Cross-Correlation Matching Algorithms Using a Pyramidal Resolution Approach -- Ch. 7. Performance Evaluation of Medical Image Processing Algorithms.
ISBN
9810249535
OCLC
  • ocm50481202
  • SCSB-4305301
Owning Institutions
Columbia University Libraries