Automated pose estimation in 3D point clouds applying annealing particle filters and inverse kinematics on a GPU

Nicolas H. Lehment; Dejan Arsić; Moritz Kaiser; Gerhard Rigoll

doi:10.1109/CVPRW.2010.5543606

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops

Automated pose estimation in 3D point clouds applying annealing particle filters and inverse kinematics on a GPU

Year: 2010, Pages: 87-92

DOI Bookmark: 10.1109/CVPRW.2010.5543606

Authors

Nicolas H. Lehment, Institute for Human Machine Communication, Technische Universität München, Arcisstr. 21, 80634, Germany
Dejan Arsić, Institute for Human Machine Communication, Technische Universität München, Arcisstr. 21, 80634, Germany
Moritz Kaiser, Institute for Human Machine Communication, Technische Universität München, Arcisstr. 21, 80634, Germany
Gerhard Rigoll, Institute for Human Machine Communication, Technische Universität München, Arcisstr. 21, 80634, Germany

Abstract

Based on the problem of submitting mode of experiment management of scientific literature search and on the thought of information management system, this paper discussed the design of information management system of experiment report. It highlighted the property orientation, function design and logistic structure of information management for experiment report. It's hoped that the paper can offer some references to information management system of experiment report.

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Automated pose estimation in 3D point clouds applying annealing particle filters and inverse kinematics on a GPU

Authors

Abstract

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