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» The Imalab Method for Vision Systems
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CVPR
2004
IEEE
16 years 8 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
CVPR
2004
IEEE
16 years 8 months ago
A Fast Multigrid Implicit Algorithm for the Evolution of Geodesic Active Contours
Active contour models are among the most popular PDE-based tools in computer vision. In this paper we present a new algorithm for the fast evolution of geodesic active contours an...
George Papandreou, Petros Maragos
ICCV
2003
IEEE
16 years 8 months ago
How To Deal with Point Correspondences and Tangential Velocities in the Level Set Framework
In this paper, we overcome a major drawback of the level set framework: the lack of point correspondences. We maintain explicit backward correspondences from the evolving interfac...
Jean-Philippe Pons, Gerardo Hermosillo, Renaud Ker...
ECCV
2006
Springer
16 years 8 months ago
Learning Nonlinear Manifolds from Time Series
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Naren...
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
16 years 14 hour ago
Video with Ground-Truth for Validation of Visual Registration, Tracking and Navigation Algorithms
A fundamental task in computer vision is that of determining the position and orientation of a moving camera relative to an observed object or scene. Many such visual tracking alg...
Rustam Stolkin, Alistair Greig, John Gilby