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» Application of Level Set Methods in Computer Vision
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ADAC
2008
193views more  ADAC 2008»
15 years 6 months ago
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
We consider the problem of multiple fitting of linearly parametrized curves, that arises in many computer vision problems such as road scene analysis. Data extracted from images us...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...
CVPR
2006
IEEE
16 years 8 months ago
Efficient Nonparametric Belief Propagation with Application to Articulated Body Tracking
An efficient Nonparametric Belief Propagation (NBP) algorithm is developed in this paper. While the recently proposed nonparametric belief propagation algorithm has wide applicati...
Tony X. Han, Huazhong Ning, Thomas S. Huang
ICPR
2000
IEEE
16 years 7 months ago
Camera Calibration with a Motorized Zoom Lens
Thispaperpresents a simple and eficient method of calibrating the intrinsic camera parameters for all the lens settings of a motorized zoom lens. Wefuthe aperture setting and perf...
Yong-Sheng Chen, Yi-Ping Hung, Chiou-Shann Fuh, Sh...
IPPS
2007
IEEE
16 years 21 days ago
Automatic Program Segment Similarity Detection in Targeted Program Performance Improvement
Targeted optimization of program segments can provide an additional program speedup over the highest default optimization level, such as -O3 in GCC. The key challenge is how to au...
Haiping Wu, Eunjung Park, Mihailo Kaplarevic, Ying...
CODES
2010
IEEE
15 years 4 months ago
Statistical approach in a system level methodology to deal with process variation
The impact of process variation in state of the art technology makes traditional (worst case) designs unnecessarily pessimistic, which translates to suboptimal designs in terms of...
Concepción Sanz Pineda, Manuel Prieto, Jos&...