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» Object Recognition and Recovery by Skeleton Graph Matching
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CVPR
2008
IEEE
14 years 9 months ago
Relaxed matching kernels for robust image comparison
The popular bag-of-features representation for object recognition collects signatures of local image patches and discards spatial information. Some have recently attempted to at l...
Andrea Vedaldi, Stefano Soatto
EMMCVPR
2005
Springer
14 years 1 months ago
Probabilistic Subgraph Matching Based on Convex Relaxation
We present a novel approach to the matching of subgraphs for object recognition in computer vision. Feature similarities between object model and scene graph are complemented with ...
Christian Schellewald, Christoph Schnörr
CVPR
2009
IEEE
14 years 2 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin
VCBM
2010
13 years 2 months ago
A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds
We present the latest developments in modeling 3D biomedical data via the Medial Scaffold (MS), a 3D acyclic oriented graph representation of the Medial Axis (MA) [LK07, SP08]. Th...
Frederic F. Leymarie, Ming-Ching Chang, Celina Imi...
FGR
2006
IEEE
144views Biometrics» more  FGR 2006»
14 years 1 months ago
A Layered Deformable Model for Gait Analysis
In this paper, a layered deformable model (LDM) is proposed for human body pose recovery in gait analysis. This model is inspired by the manually labeled silhouettes in [6] and it...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...