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87
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ICIP
2009
IEEE
16 years 2 months ago
Facial Marks: Soft Biometric For Face Recognition
We propose to utilize micro features, namely facial marks (e.g., freckles, moles, and scars) to improve face recognition and retrieval performance. Facial marks can be used in thr...
129
Voted
ECCV
2002
Springer
16 years 3 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
111
Voted
CVPR
2008
IEEE
16 years 3 months ago
Enhanced biologically inspired model
It has been demonstrated by Serre et al. that the biologically inspired model (BIM) is effective for object recognition. It outperforms many state-of-the-art methods in challengin...
Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dach...
VLDB
2004
ACM
104views Database» more  VLDB 2004»
16 years 2 months ago
Retrieval effectiveness of an ontology-based model for information selection
Technology in the field of digital media generates huge amounts of nontextual information, audio, video, and images, along with more familiar textual information. The potential for...
Latifur Khan, Dennis McLeod, Eduard H. Hovy
115
Voted
PAMI
2006
122views more  PAMI 2006»
15 years 1 months ago
Total Variation Models for Variable Lighting Face Recognition
In this paper, we present the logarithmic total variation (LTV) model for face recognition under varying illumination, including natural lighting conditions, where we rarely know t...
Terrence Chen, Wotao Yin, Xiang Sean Zhou, Dorin C...