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» Statistical Models of Appearance for Computer Vision
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152
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CVPR
2006
IEEE
16 years 5 months ago
Recognize High Resolution Faces: From Macrocosm to Microcosm
Human faces manifest distinct structures and characteristics when observed in different scales. Traditional face recognition techniques mainly rely on low-resolution face images, ...
Dahua Lin, Xiaoou Tang
116
Voted
CVPR
2008
IEEE
16 years 5 months ago
Learning patch correspondences for improved viewpoint invariant face recognition
Variation due to viewpoint is one of the key challenges that stand in the way of a complete solution to the face recognition problem. It is easy to note that local regions of the ...
Ahmed Bilal Ashraf, Simon Lucey, Tsuhan Chen
ICCV
2001
IEEE
16 years 5 months ago
BRDF/BTF Measurement Device
Capturing surface appearance is important for a large number of applications. Appearance of real world surfaces is dif?cult to model as it varies with the direction of illuminatio...
Kristin J. Dana
ECCV
2008
Springer
16 years 5 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
146
Voted
CVPR
2010
IEEE
15 years 11 months ago
Dense Non-rigid Surface Registration Using High-Order Graph Matching
In this paper, we propose a high-order graph matching formulation to address non-rigid surface matching. The singleton terms capture the geometric and appearance similarities (e.g...
Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Di...