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Empirical Evaluation Methods in Computer Vision (Series in Machine Perception & Artificial Intelligence) (Series in Machine Perception and Artificial Intelligence) [Hardcover]

Henrik I. Christensen (Editor), Jonathon Phillips (Editor)

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Product details

Hardcover: 170 pages
Publisher: World Scientific Publishing Co Pte Ltd (1 May 2002)
Language English
ISBN-10: 9810249535
ISBN-13: 978-9810249533
Product Dimensions: 22.6 x 15.2 x 1.5 cm
Amazon Bestsellers Rank: 4,309,826 in Books (See Top 100 in Books)

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Product Description

This text 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 work 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.

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First Sentence
We describe a framework for evaluating the performance of range image segmentation algorithms. Read the first page

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Front Cover | Copyright | Table of Contents | Excerpt | Back Cover

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