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Proceedings Paper

On analyzing colour constancy approach for improving SURF detector performance
Author(s): Mohd Asyraf Zulkiey; Wan Mimi Diyana Wan Zaki; Aini Hussain; Mohd. Marzuki Mustafa
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Paper Abstract

Robust key point detector plays a crucial role in obtaining a good tracking feature. The main challenge in outdoor tracking is the illumination change due to various reasons such as weather fluctuation and occlusion. This paper approaches the illumination change problem by transforming the input image through colour constancy algorithm before applying the SURF detector. Masked grey world approach is chosen because of its ability to perform well under local as well as global illumination change. Every image is transformed to imitate the canonical illuminant and Gaussian distribution is used to model the global change. The simulation results show that the average number of detected key points have increased by 69.92%. Moreover, the average of improved performance cases far out weight the degradation case where the former is improved by 215.23%. The approach is suitable for tracking implementation where sudden illumination occurs frequently and robust key point detection is needed.

Paper Details

Date Published: 2 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833419 (2 June 2012); doi: 10.1117/12.946583
Show Author Affiliations
Mohd Asyraf Zulkiey, Univ. Kebangsaan Malaysia (Malaysia)
Wan Mimi Diyana Wan Zaki, Univ. Kebangsaan Malaysia (Malaysia)
Aini Hussain, Univ. Kebangsaan Malaysia (Malaysia)
Mohd. Marzuki Mustafa, Univ. Kebangsaan Malaysia (Malaysia)

Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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