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» Robust Autonomous Model Learning from 2D and 3D Data Sets
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372views
16 years 7 months ago
Multi-Objects Interpretation
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the ...
Jean-Philippe Tarel
CRV
2006
IEEE
90views Robotics» more  CRV 2006»
16 years 5 hour ago
Photo Hull Regularized Stereo
A regularization-based approach to 3-D reconstruction from multiple images is proposed. As one of the most widely used multiple-view 3-D reconstruction algorithms, Space Carving c...
Shufei Fan, Frank P. Ferrie
DAGM
2009
Springer
15 years 3 months ago
Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
Abstract. Guided Kanade-Lucas-Tomasi (GKLT) tracking is a suitable way to incorporate knowledge about camera parameters into the standard KLT tracking approach for feature tracking...
Michael Trummer, Christoph Munkelt, Joachim Denzle...
CVPR
2009
IEEE
17 years 1 months ago
Contextual Classification with Functional Max-Margin Markov Networks
We address the problem of label assignment in computer vision: given a novel 3-D or 2-D scene, we wish to assign a unique label to every site (voxel, pixel, superpixel, etc.). To...
Daniel Munoz, James A. Bagnell, Martial Hebert, Ni...
CLEAR
2006
Springer
190views Biometrics» more  CLEAR 2006»
15 years 9 months ago
Evaluation of USC Human Tracking System for Surveillance Videos
The evaluation results of a system for tracking humans in surveillance videos are presented. Moving blobs are detected based on adaptive background modeling. A shape based multi-vi...
Bo Wu, Xuefeng Song, Vivek Kumar Singh, Ram Nevati...