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» An Associate-Predict Model for Face Recognition
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CVPR
2001
IEEE
16 years 3 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
AAAI
2000
15 years 3 months ago
Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning?
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
James A. Bednar, Risto Miikkulainen
123
Voted
FGR
2000
IEEE
211views Biometrics» more  FGR 2000»
15 years 6 months ago
Recognizing Lower Face Action Units for Facial Expression Analysis
Most automatic expression analysis systems attempt to recognize a small set of prototypic expressions (e.g. happiness and anger). Such prototypic expressions, however, occur infre...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
141
Voted
ECCV
1998
Springer
16 years 3 months ago
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
Michael C. Burl, Markus Weber, Pietro Perona
ICCV
2011
IEEE
14 years 1 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter