Andrew D. Bagdanov
Alberto Del Bimbo
ABSTRACT
This article describes a new dataset under construction at the Media Integration and Communication Center and the University of Florence. The dataset consists of high-resolution 3D scans of human faces along with several video sequences of varying resolution and zoom level. Each subject is recorded under various scenarios, settings and conditions. This dataset is being constructed specifically to support research on techniques that bridge the gap between 2D, appearance-based recognition techniques, and fully 3D approaches. It is designed to simulate, in a controlled fashion, realistic surveillance conditions and to probe the efficacy of exploiting 3D models in real scenarios.
- S. Berretti, A. Del Bimbo, and P. Pala. 3D face recognition using isogeodesic stripes. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 32(12):2162--2177, December 2010. Google Scholar
Digital Library
- A. Del Bimbo, F. Dini, G. Lisanti, and F. Pernici. Exploiting distinctive visual landmark maps in pan-tilt-zoom camera networks. Computer Vision and Image Understanding (CVIU), 114(6):611--623, 2010. Google ScholarDigital Library
- G. Fanelli, J. Gall, and L. van Gool. Real time head pose estimation with random regression forests. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11), June 2011. Google ScholarDigital Library
- W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld. Face recognition: A literature survey. ACM Computing Surveys, 35:399--458, December 2003. Google ScholarDigital Library
Index Terms
- The florence 2D/3D hybrid face dataset
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