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ICB-RW

International Challenge on Biometric Recognition in the Wild (integrated in ICB 2016. The training set is now available here. The QUIS-CAMPI dataset is a novel biometric database containing facial images automatically acquired by a PTZ camera integrated in a master-***** surveillance system. Here is an example of the surveillance system used to acquire the biometric data used in ICB-RW. Soft Computing and Image Analysis Group. Department of Computer Science, University of Beira Interior.

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ICB-RW | icbrw.di.ubi.pt Reviews

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International Challenge on Biometric Recognition in the Wild (integrated in ICB 2016. The training set is now available here. The QUIS-CAMPI dataset is a novel biometric database containing facial images automatically acquired by a PTZ camera integrated in a master-***** surveillance system. Here is an example of the surveillance system used to acquire the biometric data used in ICB-RW. Soft Computing and Image Analysis Group. Department of Computer Science, University of Beira Interior.

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ICB-RW | icbrw.di.ubi.pt Reviews

https://icbrw.di.ubi.pt

International Challenge on Biometric Recognition in the Wild (integrated in ICB 2016. The training set is now available here. The QUIS-CAMPI dataset is a novel biometric database containing facial images automatically acquired by a PTZ camera integrated in a master-***** surveillance system. Here is an example of the surveillance system used to acquire the biometric data used in ICB-RW. Soft Computing and Image Analysis Group. Department of Computer Science, University of Beira Interior.

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icbrw.di.ubi.pt

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ICB-RW

http://icbrw.di.ubi.pt/about.html

Department of Computer Science, SOCIA Lab., IT-Instituto de Telecomunicações, University of Beira Interior. Department of Computer Science, SOCIA Lab., IT-Instituto de Telecomunicações, University of Beira Interior. BIP Lab (Team Leader): Biometric and Image Proc. Lab, University of Salerno. School of Electronics and Computer Science, University of Southampton. Soft Computing and Image Analysis Group. Department of Computer Science, University of Beira Interior. 6201-001 Covilhã, Portugal.

2

ICB-RW

http://icbrw.di.ubi.pt/protocol.html

The training set comprises the watchlist images and the probe images of 90 subjects. In the watchlist, 3 images of the subject's head are provided: 1) frontal image; 2) left-side image; 3) right-side image. In the probe images, 5 images of each subject are provided. Fig 1 Example images of the watchlist. The identity of each image is provided in the image filename with following structure:. Example for the 3rd subject in the watchlist. 003 rjpg - the right side watchlist image. Fig 2 Example probe images.

3

ICB-RW

http://icbrw.di.ubi.pt/publication.html

The IEEE Intelligent Systems. Has accepted to publish a special issue of the ICB-RW competition. Impact Factor : 2.34. The 7 best performing methods are invited to describe their approach in a scientific paper with approximately 1,500 to 1,800 words long. Figures and tables count as 200 words each. References should be kept to 5 or fewer per essay. Soft Computing and Image Analysis Group. Department of Computer Science, University of Beira Interior. 6201-001 Covilhã, Portugal.

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ICB-RW

http://icbrw.di.ubi.pt/dates.html

01 Sep. 2015. Start of the ICB-RW application forms reception period. The training set is made available. 04 Jan. 2016. Deadline for the submission of application executables. 08 Jan. 2016. ICB-RW classification. The ranking list for the 8 best algorithms is made available. Soft Computing and Image Analysis Group. Department of Computer Science, University of Beira Interior. 6201-001 Covilhã, Portugal.

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ICB-RW

http://icbrw.di.ubi.pt/index.html

International Challenge on Biometric Recognition in the Wild (integrated in ICB 2016. The training set is now available here. The QUIS-CAMPI dataset is a novel biometric database containing facial images automatically acquired by a PTZ camera integrated in a master-slave surveillance system. Here is an example of the surveillance system used to acquire the biometric data used in ICB-RW. Soft Computing and Image Analysis Group. Department of Computer Science, University of Beira Interior.

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icbrw.di.ubi.pt

ICB-RW

International Challenge on Biometric Recognition in the Wild (integrated in ICB 2016. The training set is now available here. The QUIS-CAMPI dataset is a novel biometric database containing facial images automatically acquired by a PTZ camera integrated in a master-slave surveillance system. Here is an example of the surveillance system used to acquire the biometric data used in ICB-RW. Soft Computing and Image Analysis Group. Department of Computer Science, University of Beira Interior.

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