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ECCV
2010
Springer
15 years 5 months ago
2010
Springer
The study of 2D shapes is a central problem in the field of computer vision. In 2D shape analysis, classification and recognition of objects from their observed silhouette are e...
119
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ECCV
2010
Springer
15 years 5 months ago
2010
Springer
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
118
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ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...
137
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ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....