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Author  |
Arjan Gijsenij; Theo Gevers; Joost Van de Weijer |
 
 
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| Title | Computational Color Constancy: Survey and Experiments | Type | Journal Article | |||
| Year | 2011 | Publication | IEEE Transactions on Image Processing | Abbreviated Journal | TIP | |
| Volume | 20 | Issue | 9 | Pages | 2475-2489 | |
| Keywords | computational color constancy;computer vision application;gamut-based method;learning-based method;static method;colour vision;computer vision;image colour analysis;learning (artificial intelligence);lighting | |||||
| Abstract | Computational color constancy is a fundamental prerequisite for many computer vision applications. This paper presents a survey of many recent developments and state-of-the- art methods. Several criteria are proposed that are used to assess the approaches. A taxonomy of existing algorithms is proposed and methods are separated in three groups: static methods, gamut-based methods and learning-based methods. Further, the experimental setup is discussed including an overview of publicly available data sets. Finally, various freely available methods, of which some are considered to be state-of-the-art, are evaluated on two data sets. | |||||
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| ISSN | 1057-7149 | ISBN | Medium | |||
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| Notes | ISE;CIC | Approved | no | |||
| Call Number | Admin @ si @ GGW2011 | Serial | 1717 | |||
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