Paper
10 January 2014 A real-time orientation feature descriptor for portable devices
Author Affiliations +
Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 90691E (2014) https://doi.org/10.1117/12.2051141
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China
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.
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Ping Yang, Zhiguo Jiang, Hao Feng, and Danpei Zhao "A real-time orientation feature descriptor for portable devices", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691E (10 January 2014); https://doi.org/10.1117/12.2051141
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KEYWORDS
Image processing

Detection and tracking algorithms

Cell phones

Image segmentation

Sensors

Video

Algorithm development

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