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» Object Detection Using 2D Spatial Ordering Constraints
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ISVC
2009
Springer
13 years 11 months ago
Deformable 2D Shape Matching Based on Shape Contexts and Dynamic Programming
This paper presents a method for matching closed, 2D shapes (2D object silhouettes) that are represented as an ordered collection of shape contexts [1]. Matching is performed using...
Iasonas Oikonomidis, Antonis A. Argyros
CVPR
2011
IEEE
13 years 23 days ago
2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...
Y. Cao, Z. Zhang, I. Czogiel, I. Dryden, S. Wang
CVPR
2010
IEEE
14 years 4 days ago
Multi-View Object Class Detection With a 3D Geometric Model
This paper presents a new approach for multi-view object class detection. Appearance and geometry are treated as separate learning tasks with different training data. Our approach...
Joerg Liebelt, Cordelia Schmid
CVPR
2007
IEEE
13 years 11 months ago
A Graph Reduction Method for 2D Snake Problems
Energy-minimizing active contour models (snakes) have been proposed for solving many computer vision problems such as object segmentation, surface reconstruction, and object track...
Jianhua Yan, Keqi Zhang, Chengcui Zhang, Shu-Ching...
ICIP
2004
IEEE
14 years 6 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte