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Empirical evaluation methods in computer vision
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 expe...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
World Scientific
2002
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1701639 |
| _version_ | 1780936281248759808 |
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| author | Christensen, Henrik I Phillips, P Jonathon |
| author_facet | Christensen, Henrik I Phillips, P Jonathon |
| author_sort | Christensen, Henrik I |
| collection | CERN |
| 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. Sample Chapter(s). Foreword (228 KB). Chapter 1: Introduction (505 KB). Contents: Automate |
| id | cern-1701639 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2002 |
| publisher | World Scientific |
| record_format | invenio |
| spelling | cern-17016392021-04-21T21:02:09Zhttp://cds.cern.ch/record/1701639engChristensen, Henrik IPhillips, P JonathonEmpirical evaluation methods in computer visionComputing and ComputersThis 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. Sample Chapter(s). Foreword (228 KB). Chapter 1: Introduction (505 KB). Contents: AutomateWorld Scientificoai:cds.cern.ch:17016392002 |
| spellingShingle | Computing and Computers Christensen, Henrik I Phillips, P Jonathon Empirical evaluation methods in computer vision |
| title | Empirical evaluation methods in computer vision |
| title_full | Empirical evaluation methods in computer vision |
| title_fullStr | Empirical evaluation methods in computer vision |
| title_full_unstemmed | Empirical evaluation methods in computer vision |
| title_short | Empirical evaluation methods in computer vision |
| title_sort | empirical evaluation methods in computer vision |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/1701639 |
| work_keys_str_mv | AT christensenhenriki empiricalevaluationmethodsincomputervision AT phillipspjonathon empiricalevaluationmethodsincomputervision |