Vision-based natural feature tracking for augmented reality

Hui Zhang; Yongtian Wang

doi:10.1117/12.481746

Vision-based natural feature tracking for augmented reality

Hui Zhang, Yongtian Wang

School of Optics and Photonics

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

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 algorithm based on the SUSAN method finds the most reliable feature points in the image of natural scene. Then, those detected points are matched in different image. Furthermore, motion parameters arc 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.

Original language	English
Pages (from-to)	28-33
Number of pages	6
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4921
DOIs	https://doi.org/10.1117/12.481746
Publication status	Published - 5 Sept 2002
Event	Optical Manufacturing Technologies 2002 - Shanghai, China Duration: 14 Oct 2002 → 18 Oct 2002

Keywords

Augmented reality
Computer vision
Motion prediction
Natural feature tracking
Susan method

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10.1117/12.481746

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AB - 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 algorithm based on the SUSAN method finds the most reliable feature points in the image of natural scene. Then, those detected points are matched in different image. Furthermore, motion parameters arc 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.

KW - Augmented reality

KW - Computer vision

KW - Motion prediction

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KW - Susan method

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JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Optical Manufacturing Technologies 2002

Y2 - 14 October 2002 through 18 October 2002

ER -

Vision-based natural feature tracking for augmented reality

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Keywords

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