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» On Modeling Variations for Face Authentication
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CVPR
2001
IEEE
15 years 11 months ago
Mixtures of Trees for Object Recognition
Efficient detection of objects in images is complicated by variations of object appearance due to intra-class object differences, articulation, lighting, occlusions, and aspect va...
Sergey Ioffe, David A. Forsyth
NIPS
2001
14 years 11 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...
MM
2004
ACM
195views Multimedia» more  MM 2004»
15 years 3 months ago
Facial expression representation and recognition based on texture augmentation and topographic masking
The variation of facial texture and surface due to the change of expression is an important cue for analyzing and modeling facial expressions. In this paper, we propose a new appr...
Lijun Yin, Johnny Loi, Wei Xiong
87
Voted
ICIP
2007
IEEE
15 years 11 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
CVPR
2008
IEEE
15 years 11 months ago
Adaptive and constrained algorithms for inverse compositional Active Appearance Model fitting
Parametric models of shape and texture such as Active Appearance Models (AAMs) are diverse tools for deformable object appearance modeling and have found important applications in...
George Papandreou, Petros Maragos