Empirical Evaluation Methods In Computer Vision
Will be published approx. on 9. May 2002
Book
Hardback
172 pages
978-981-02-4953-3 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 235 mm
Width: 158 mm
Thickness: 14 mm
Weight
390 gr
ISBN-13
978-981-02-4953-3 (9789810249533)
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Schweitzer Classification
Persons
Content
Automated performance evaluation of range image segmentation algorithms; training/test data partitioning for empirical performance evaluation; analyzing PCA-based face recognition algorithms -eigenvector selection and distance measures; design of a visual system for detecting natural events by the use of an independent visual estimate - a human fall detector; task-based evaluation of image filtering within a class of geometry-driven-diffusion algorithms; a comparative analysis of cross-correlation matching algorithms using a pyramidal resolution approach; performance evaluation of medical image processing algorithms.