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CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
ICCV
2009
IEEE
16 years 11 months ago
Is Dual Linear Self-Calibration Artificially Ambiguous?
This purely theoretical work investigates the problem of artificial singularities in camera self-calibration. Selfcalibration allows one to upgrade a projective reconstruction t...
Pierre Gurdjos, Adrien Bartoli, Peter Sturm
ICCV
2009
IEEE
16 years 11 months ago
Tracking in Unstructured Crowded Scenes
This paper presents a target tracking framework for unstructured crowded scenes. Unstructured crowded scenes are defined as those scenes where the motion of a crowd appears to b...
Mikel Rodriguez, Saad Ali, Takeo Kanade
CVPR
1998
IEEE
16 years 8 months ago
Incorporating Illumination Constraints in Deformable Models
In this paper we present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the problems of shape and illuminant direction...
Dimitris Samaras, Dimitris N. Metaxas
CVPR
2007
IEEE
16 years 8 months ago
A Fast 3D Correspondence Method for Statistical Shape Modeling
Accurately identifying corresponded landmarks from a population of shape instances is the major challenge in constructing statistical shape models. In this paper, we address this ...
Pahal Dalal, Brent C. Munsell, Song Wang, Jijun Ta...
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