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» Randomness and Geometric Features in Computer Vision
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VMV
2004
123views Visualization» more  VMV 2004»
13 years 9 months ago
Hierarchy Accelerated Stochastic Collision Detection
In this paper we present a new framework for collision and self-collision detection for highly deformable objects such as cloth. It permits to efficiently trade off accuracy for s...
Stefan Kimmerle, Matthieu Nesme, François F...
ICCV
2003
IEEE
14 years 26 days ago
What Does Motion Reveal About Transparency?
The perception of transparent objects from images is known to be a very hard problem in vision. Given a single image, it is difficult to even detect the presence of transparent o...
Moshe Ben-Ezra, Shree K. Nayar
ICCV
2007
IEEE
14 years 9 months ago
N3M: Natural 3D Markers for Real-Time Object Detection and Pose Estimation
In this paper, a new approach for object detection and pose estimation is introduced. The contribution consists in the conception of entities permitting stable detection and relia...
Stefan Hinterstoisser, Selim Benhimane, Nassir Nav...
CVPR
2006
IEEE
14 years 9 months ago
Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold Learning and Target Dynamics
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...
Vlad I. Morariu, Octavia I. Camps
CVPR
2009
IEEE
14 years 2 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin