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» E-Learning Applied To Computer Vision
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96
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ICPR
2008
IEEE
15 years 11 months ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...
CVPR
2010
IEEE
15 years 6 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman
CVPR
2009
IEEE
15 years 5 months ago
Symmetric two dimensional linear discriminant analysis (2DLDA)
Linear discriminant analysis (LDA) has been successfully applied into computer vision and pattern recognition for effective feature extraction. High-dimensional objects such as im...
Dijun Luo, Chris H. Q. Ding, Heng Huang
95
Voted
ICPR
2008
IEEE
15 years 4 months ago
Contour grouping with shape manifold and distance transform
Object detection in clutter or occlusion is a hard problem in computer vision. We propose an object detection method based on contour grouping. Two stages are included: a novel di...
Zou Qi, Luo Siwei, Huang Yaping, Li Yan
120
Voted
ICPR
2008
IEEE
15 years 4 months ago
A similarity measure under Log-Euclidean metric for stereo matching
Stereo matching has been one of the most active areas in computer vision for decades. Many methods, ranging from similarity measures to local or global matching cost optimization ...
Quanquan Gu, Jie Zhou