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» Face Recognition with Large Pose Variation
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EMMCVPR
2007
Springer
15 years 3 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
ICPR
2008
IEEE
15 years 10 months ago
Unfolding warping for object recognition
In practice, understanding the spatial relationships between the surfaces of an object, can significantly improve the performance of object recognition systems. In this paper we p...
Jun Xie, Min Hu, Mubarak Shah
CVPR
2005
IEEE
15 years 11 months ago
Learning a Similarity Metric Discriminatively, with Application to Face Verification
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
Sumit Chopra, Raia Hadsell, Yann LeCun
100
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ICVGIP
2008
14 years 11 months ago
Object Category Recognition with Projected Texture
Recognition of object categories from their images is extremely challenging due to the large intra-class variations, and variations in pose, illumination and scale, in addition to...
Avinash Sharma, Anoop M. Namboodiri
FGR
2004
IEEE
131views Biometrics» more  FGR 2004»
15 years 1 months ago
Active Morphable Model: An Efficient Method for Face Analysis
Multidimensional Morphable Model is a powerful model to analyze and synthesize human faces. However, the stochastic gradient descent algorithm adopted to match the Morphable Model...
Xun Xu, Changshui Zhang, Thomas S. Huang