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» Dense Range Image Smoothing Using Adaptive Regularization
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CVPR
2007
IEEE
14 years 8 months ago
Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segm...
Thomas Pock, Christopher Zach, Horst Bischof
CVPR
2007
IEEE
14 years 19 days ago
Local Ensemble Kernel Learning for Object Category Recognition
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
SMILE
2000
Springer
13 years 9 months ago
A Progressive Scheme for Stereo Matching
Brute-forcedensematchingisusuallynotsatisfactorybecausethesame search range is used for the entire image, yielding potentially many false matches. In this paper, we propose a progr...
Zhengyou Zhang, Ying Shan
DAGM
2009
Springer
14 years 26 days ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
BMCBI
2010
191views more  BMCBI 2010»
13 years 6 months ago
Colonyzer: automated quantification of micro-organism growth characteristics on solid agar
Background: High-throughput screens comparing growth rates of arrays of distinct micro-organism cultures on solid agar are useful, rapid methods of quantifying genetic interaction...
Conor Lawless, Darren J. Wilkinson, Alexander Youn...