Empirical Evaluation Of Computer Vision Algorithms
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Empirical Evaluation Methods in Computer Vision
Author | : Henrik I. Christensen |
Publisher | : World Scientific |
Total Pages | : 170 |
Release | : 2002 |
Genre | : Science |
ISBN | : 9810249535 |
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.
Empirical Evaluation of Computer Vision Algorithms
Author | : Patrick J. Flynn |
Publisher | : |
Total Pages | : 199 |
Release | : 2001 |
Genre | : Computer algorithms |
ISBN | : |
Empirical Evaluation Techniques in Computer Vision
Author | : Kevin W. Bowyer |
Publisher | : Wiley-IEEE Computer Society Press |
Total Pages | : 272 |
Release | : 1998-07-11 |
Genre | : Computers |
ISBN | : |
Empirical Evaluation Techniques in Computer Vision presents methods that allow comparative assessment of algorithms and the accompanying benefits: places computer vision on solid experimental and scientific grounds, assists the development of engineering solutions to practical problems, allows accurate assessments of computer vision research, provides convincing evidence that computer vision research results in practical solutions. The chapters in this volume cover the three main paradigms for evaluating computer vision algorithms. The paradigms are: (1) evaluations that are independently administered, (2) evaluation of a set of algorithms by one research group, and (3) evaluation methods that feature ground truthing procedures as a major component.
Empirical Evaluation Methods In Computer Vision
Author | : Henrik I Christensen |
Publisher | : World Scientific |
Total Pages | : 170 |
Release | : 2002-05-08 |
Genre | : Computers |
ISBN | : 9814488526 |
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.
Performance Characterization in Computer Vision
Author | : Reinhard Klette |
Publisher | : Springer Science & Business Media |
Total Pages | : 317 |
Release | : 2013-04-17 |
Genre | : Computers |
ISBN | : 9401595380 |
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.