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» MAVIS: A Visual Environment for Active Computer Vision
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CVPR
2008
IEEE
14 years 10 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
ICCV
2007
IEEE
14 years 10 months ago
Relative Epipolar Motion of Tracked Features for Correspondence in Binocular Stereo
Most 3D reconstruction solutions focus on surfaces, and there has not been much research attention paid to the problem of reconstructing 3D scenes made up of large numbers of part...
Hao Du, Danping Zou, Yan Qiu Chen
ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
14 years 2 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
ECCV
2010
Springer
13 years 8 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
ACHI
2010
IEEE
14 years 3 months ago
Simulating On-the-Road Behavior Using a Driving Simulator
—In this paper, we summarize the initial results with regard to the question to what extent driving simulators can be used to serve as cheap and easy realizable environments for ...
Andreas Riener