| 書(shū)目名稱 | Performance Characterization in Computer Vision | | 編輯 | Reinhard Klette,H. Siegfried Stiehl,Koen L. Vincke | | 視頻video | http://file.papertrans.cn/744/743728/743728.mp4 | | 叢書(shū)名稱 | Computational Imaging and Vision | | 圖書(shū)封面 |  | | 描述 | 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 | | 出版日期 | Book 2000 | | 關(guān)鍵詞 | 3D; Analysis; Computer Vision; Image segmentation; Optical flow; Performance; Stereo; algorithms; computer; c | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-015-9538-4 | | isbn_softcover | 978-90-481-5487-6 | | isbn_ebook | 978-94-015-9538-4Series ISSN 1381-6446 | | issn_series | 1381-6446 | | copyright | Springer Science+Business Media B.V. 2000 |
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