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5 September 2002 Vision-based natural feature tracking for augmented reality
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Zhang and Yongtian Wang "Vision-based natural feature tracking for augmented reality", Proc. SPIE 4921, Optical Manufacturing Technologies, (5 September 2002); https://doi.org/10.1117/12.481746
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