Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Exploiting distinctive visual landmark maps in pan-tilt-zoom camera networks
Computer Vision and Image Understanding
3D Face Recognition Using Isogeodesic Stripes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real time head pose estimation with random regression forests
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11)
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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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.