FaceLab: a tool for performance evaluation of face recognition strategies
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| Titel: | FaceLab: a tool for performance evaluation of face recognition strategies |
|---|---|
| Autoren: | TISATO, FRANCESCO, SCHETTINI, RAIMONDO, CUSANO, CLAUDIO, COLOMBO, ALESSANDRO, Caflisch, L. |
| Quelle: | SPIE Proceedings. 6061:60610V |
| Verlagsinformationen: | SPIE, 2006. |
| Publikationsjahr: | 2006 |
| Schlagwörter: | performance evaluation, face recognition strategies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology |
| Beschreibung: | This paper presents FaceLab, an innovative, open environment created to evaluate the performance of face recognition strategies. It simplifies, through an easy-to-use graphical interface, the basic steps involved in testing procedures such as data organization and preprocessing, definition and management of training and test sets, definition and execution of recognition strategies and automatic computation of performance measures. The user can extend the environment to include new algorithms, allowing the definition of innovative recognition strategies. The performance of these strategies can be automatically evaluated and compared by the tool, which computes several performance measures for both identity verification and identification scenarios. |
| Publikationsart: | Article Conference object |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.648347 |
| Zugangs-URL: | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6061/1/FaceLab--a-tool-for-performance-evaluation-of-face-recognition/10.1117/12.648347.full https://spiedigitallibrary.org/proceeding.aspx?articleid=728341 https://boa.unimib.it/handle/10281/13988?mode=simple.14 https://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=728341 https://hdl.handle.net/10281/13988 https://doi.org/10.1117/12.648347 |
| Dokumentencode: | edsair.doi.dedup.....757d389a072352a8c48f96b5f4267c6f |
| Datenbank: | OpenAIRE |
| Abstract: | This paper presents FaceLab, an innovative, open environment created to evaluate the performance of face recognition strategies. It simplifies, through an easy-to-use graphical interface, the basic steps involved in testing procedures such as data organization and preprocessing, definition and management of training and test sets, definition and execution of recognition strategies and automatic computation of performance measures. The user can extend the environment to include new algorithms, allowing the definition of innovative recognition strategies. The performance of these strategies can be automatically evaluated and compared by the tool, which computes several performance measures for both identity verification and identification scenarios. |
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| ISSN: | 0277786X |
| DOI: | 10.1117/12.648347 |
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