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Proceedings Paper

Cross-section-based multiple-view range image fusion approach
Author(s): Helai Yao; Ron Podhorodeski; Zuomin Dong
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Paper Abstract

In this paper, a method for multiple-view range image fusion is presented. The method is based on partial geometric modeling for each acquired range image and on model updating for image fusion to obtain a complete 3D geometric description of objects. The presented approach conducts partial modeling and range image processing in a device frame to reduce the computational complexity associated with handling range data in a Cartesian frame. Each partial model is mapped into a global Cartesian frame, and is integrated with the fusion model obtained from previous partial models.

Paper Details

Date Published: 3 September 1993
PDF: 12 pages
Proc. SPIE 1956, Sensor Fusion and Aerospace Applications, (3 September 1993); doi: 10.1117/12.155087
Show Author Affiliations
Helai Yao, Univ. of Victoria (United States)
Ron Podhorodeski, Univ. of Victoria (Canada)
Zuomin Dong, Univ. of Victoria (Canada)


Published in SPIE Proceedings Vol. 1956:
Sensor Fusion and Aerospace Applications
Jake K. Aggarwal; Nagaraj Nandhakumar, Editor(s)

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