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ICCV
2009
IEEE
13 years 5 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
CGF
2000
138views more  CGF 2000»
13 years 7 months ago
Real Time, Accurate, Multi-Featured Rendering of Bump Mapped Surfaces
We present a new technique to render in real time objects which have part of their high frequency geometric detail encoded in bump maps. It is based on the quantization of normal-...
Marco Tarini, Paolo Cignoni, Claudio Rocchini, Rob...
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
14 years 1 months ago
Implementing Planar Motion Tracking Algorithms on CMOS+FPGA Vision System
— This paper describes a 1,000Hz visual feedback using the CMOS+FPGA vision. It is required to obtain positional and angular signals around 1,000Hz to control a mechanical system...
Kazuhiro Shimizu, Shinichi Hirai
JCP
2008
114views more  JCP 2008»
13 years 6 months ago
A Novel Feature Selection Algorithm Based on Hypothesis-Margin
Iterative search margin based algorithm(Simba) has been proven effective for feature selection. However, it still has the following disadvantages: (1) the previously proposed model...
Ming Yang, Fei Wang, Ping Yang
ICIP
2003
IEEE
14 years 9 months ago
Statistical learning for effective visual information retrieval
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
Edward Y. Chang, Beitao Li, Gang Wu, Kingshy Goh