Performance Characterization In Computer Vision

Author: Reinhard Klette
Editor: Springer Science & Business Media
ISBN: 9401595380
File Size: 13,78 MB
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This edited volume addresses a subject which has been discussed inten sively in the computer vision community for several years. Performance characterization and evaluation of computer vision algorithms are of key importance, particularly with respect to the configuration of reliable and ro bust computer vision systems as well as the dissemination of reconfigurable systems in novel application domains. Although a plethora of literature on this subject is available for certain' areas of computer vision, the re search community still faces a lack of a well-grounded, generally accepted, and--eventually-standardized methods. The range of fundamental problems encoIl!passes the value of synthetic images in experimental computer vision, the selection of a representative set of real images related to specific domains and tasks, the definition of ground truth given different tasks and applications, the design of experimental test beds, the analysis of algorithms with respect to general characteristics such as complexity, resource consumption, convergence, stability, or range of admissible input data, the definition and analysis of performance measures for classes of algorithms, the role of statistics-based performance measures, the generation of data sheets with performance measures of algorithms sup porting the system engineer in his configuration problem, and the validity of model assumptions for specific applications of computer vision.
Performance Characterization in Computer Vision
Language: en
Pages: 317
Authors: Reinhard Klette, H. Siegfried Stiehl, Max A. Viergever, Koen L. Vincken
Categories: Computers
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

This edited volume addresses a subject which has been discussed inten sively in the computer vision community for several years. Performance characterization and evaluation of computer vision algorithms are of key importance, particularly with respect to the configuration of reliable and ro bust computer vision systems as well as the
Performance Characterization of Boosting in Computer Vision
Language: en
Pages: 400
Authors: Weiliang Li
Categories: Algorithms
Type: BOOK - Published: 2005 - Publisher:

The analytical error modeling is based on random sampling, but it can be applied to stratified sampling. While training samples are collected under different experimental context, designers need an efficient method to evaluate the number of clustered samples versus the within-cluster and the overall classification performance. In the last part,
Imaging and Vision Systems
Language: en
Pages: 301
Authors: Jacques Blanc-Talon, Dan Popescu
Categories: Computers
Type: BOOK - Published: 2001 - Publisher: Nova Publishers

Imaging & Vision Systems - Theory, Assessment & Applications, Advances in Computation, Theory & Practice -- Volume 9
Computer Vision - ACCV 2014 Workshops
Language: en
Pages: 740
Authors: C.V. Jawahar, Shiguang Shan
Categories: Computers
Type: BOOK - Published: 2015-04-11 - Publisher: Springer

The three-volume set, consisting of LNCS 9008, 9009, and 9010, contains carefully reviewed and selected papers presented at 15 workshops held in conjunction with the 12th Asian Conference on Computer Vision, ACCV 2014, in Singapore, in November 2014. The 153 full papers presented were selected from numerous submissions. LNCS 9008
Empirical Evaluation Methods in Computer Vision
Language: en
Pages: 172
Authors: Henrik I Christensen, P Jonathon Phillips
Categories: Computers
Type: BOOK - Published: 2002-05-08 - Publisher: World Scientific

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