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Proceedings Paper

A real-time orientation feature descriptor for portable devices
Author(s): Ping Yang; Zhiguo Jiang; Hao Feng; Danpei Zhao
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Paper Abstract

A real-time orientation feature descriptor for portable devices is introduced. The descriptor requires very low computational resources and has 16 dimensions shorter than all existing methods. The patch of a candidate feature is firstly segmented into polar arranged sub-regions, which enables us to achieve rotation invariance rapidly. Furthermore, the principal orientation is used to describe each sub-region. The computations can be considerably accelerated by using integral image. The descriptor is used for object tracking and achieves 25 fps frame rate on mobile phone. Experimental results demonstrate that the proposed method offers sufficient matching performance.

Paper Details

Date Published: 10 January 2014
PDF: 6 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691E (10 January 2014); doi: 10.1117/12.2051141
Show Author Affiliations
Ping Yang, BeiHang Univ. (China)
Zhiguo Jiang, BeiHang Univ. (China)
Hao Feng, BeiHang Univ. (China)
Danpei Zhao, BeiHang Univ. (China)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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