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CVPR
2003
IEEE
15 years 11 months ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
CVPR
2011
IEEE
1473views Computer Vision» more  CVPR 2011»
14 years 6 months ago
Object Recognition with Hierarchical Kernel Descriptors
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox
PAMI
2008
152views more  PAMI 2008»
14 years 9 months ago
Class-Based Feature Matching Across Unrestricted Transformations
We develop a novel method for class-based feature matching across large changes in viewing conditions. The method (called MBE) is based on the property that when objects share a si...
Evgeniy Bart, Shimon Ullman
CVPR
2004
IEEE
15 years 11 months ago
Multiple Kernel Tracking with SSD
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
Gregory D. Hager, Maneesh Dewan, Charles V. Stewar...
CVIU
2010
104views more  CVIU 2010»
14 years 9 months ago
Pose estimation from multiple cameras based on Sylvester's equation
In this paper, we introduce a method to estimate the object's pose from multiple cameras. We focus on direct estimation of the 3D object pose from 2D image sequences. Scale-I...
Chong Chen, Dan Schonfeld