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» Detection of Multiple Deformable Objects using PCA-SIFT
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150
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ICCV
2001
IEEE
16 years 5 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
131
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ICCV
2007
IEEE
16 years 5 months ago
Hierarchical Semantics of Objects (hSOs)
A successful representation of objects in the literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different p...
Devi Parikh, Tsuhan Chen
129
Voted
CVPR
2007
IEEE
15 years 10 months ago
Unsupervised Learning of Hierarchical Semantics of Objects (hSOs)
A successful representation of objects in the literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different p...
Devi Parikh, Tsuhan Chen
133
Voted
ICCV
2009
IEEE
1234views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Human Pose Estimation Using Consistent Max-Covering
We propose a novel consistent max-covering scheme for human pose estimation. Consistent max-covering formulates pose estimation as the covering of body part polygons on an objec...
Hao Jiang
150
Voted
DGCI
2008
Springer
15 years 5 months ago
Statistical Template Matching under Geometric Transformations
Abstract. We present a novel template matching framework for detecting geometrically transformed objects. A template is a simplified representation of the object of interest by a s...
Alexander Sibiryakov