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» Statistical Models of Appearance for Computer Vision
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TCSV
2008
202views more  TCSV 2008»
15 years 3 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao
CVPR
2004
IEEE
16 years 5 months ago
Representation and Matching of Articulated Shapes
We consider the problem of localizing the articulated and deformable shape of a walking person in a single view. We represent the non-rigid 2D body contour by a Bayesian graphical...
Jiayong Zhang, Robert T. Collins, Yanxi Liu
196
Voted
CVPR
2012
IEEE
13 years 5 months ago
Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions
We recast the Cosegmentation problem using Random Walker (RW) segmentation as the core segmentation algorithm, rather than the traditional MRF approach adopted in the literature s...
Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh
CVPR
2007
IEEE
16 years 5 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
108
Voted
ICPR
2010
IEEE
15 years 9 months ago
Symbol Recognition Combining Vectorial and Pixel-Level Features for Line Drawings
—In this paper, we present an approach for symbol representation and recognition in line drawings, integrating both the vector-based structural description and pixel-level statis...
Feng Su, Tong Lu