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Proceedings Paper

Vision-based natural feature tracking for augmented reality
Author(s): Hui Zhang; Yongtian Wang
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Paper Abstract

A new approach is presented to detect and track the natural features of unprepared scenes from sequential images which can be used in the outdoor AR system. Firstly, a corner detection system algorithm based on the SUSAN method find the most reliable feature points in the image of natural scene. Then, those detected points are matched in different image. Furthermore, motion parameters are calculated by means of epipolar line constraint. Finally, motion prediction is used to minimize the searching scope in the next step. The method is tested through several images of a natural scene from a sequence of video image.

Paper Details

Date Published: 5 September 2002
PDF: 6 pages
Proc. SPIE 4921, Optical Manufacturing Technologies, (5 September 2002); doi: 10.1117/12.481746
Show Author Affiliations
Hui Zhang, Beijing Institute of Technology (China)
Yongtian Wang, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 4921:
Optical Manufacturing Technologies
Yimo Zhang; Wenyao Liu; Harvey M. Pollicove, Editor(s)

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