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Proceedings Paper

Multiview-based pose estimation from range images
Author(s): Chiun-Hong Chien
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Paper Abstract

This paper presents a multi-view based method for estimating poses of free floating/rotating objects to support robotic manipulation in space. The multi-view based method consists of two-stage processing, namely off-line processing for building a multi-view database of each model, and on-line processing for real-time pose estimation. The multi-view database is composed of feature vectors from the range images of multiple views of the model. The feature vectors are organized into a KD tree for fast spatial indexing. At run-time, a small number of candidate poses are extracted from the KD tree via efficient feature matching, and are verified and refined using an optimization procedure to obtain the estimated pose, which may be further refined by a Kalman filter.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1829, Cooperative Intelligent Robotics in Space III, (1 November 1992); doi: 10.1117/12.131719
Show Author Affiliations
Chiun-Hong Chien, Lockheed Engineering and Sciences Co. (United States)

Published in SPIE Proceedings Vol. 1829:
Cooperative Intelligent Robotics in Space III
Jon D. Erickson, Editor(s)

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