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CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
16 years 9 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
117
Voted
ICCV
2009
IEEE
16 years 7 months ago
A Latent Model of Discriminative Aspect
Recognition using appearance features is confounded by phenomena that cause images of the same object to look different, or images of different objects to look the same. This ma...
Ali Farhadi, Mostafa Kamali Tabrizi, Ian Endres, D...
125
Voted
CVPR
2006
IEEE
16 years 4 months ago
Augmenting Shape with Appearance in Vehicle Category Recognition
Shape is an important cue for generic object recognition but can be insufficient without other cues such as object appearance. We explore a number of ways in which the geometric a...
Özge Can Özcanli, Amir Tamrakar, Benjami...
106
Voted
CVPR
2007
IEEE
16 years 4 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...
ECCV
2006
Springer
16 years 4 months ago
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support
We consider the problem of tracking a given set of point features over large sequences of image frames. A classic procedure for monitoring the tracking quality consists in requirin...
Anthony Remazeilles, François Chaumette, Si...
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