On analyzing colour constancy approach for improving SURF detector performance

2 June 2012 On analyzing colour constancy approach for improving SURF detector performance

Mohd Asyraf Zulkiey, Wan Mimi Diyana Wan Zaki, Aini Hussain, Mohd. Marzuki Mustafa

Author Affiliations +

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833419 (2012) https://doi.org/10.1117/12.946583
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

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.

Citation Download Citation

Mohd Asyraf Zulkiey, Wan Mimi Diyana Wan Zaki, Aini Hussain, and Mohd. Marzuki Mustafa "On analyzing colour constancy approach for improving SURF detector performance", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833419 (2 June 2012); https://doi.org/10.1117/12.946583

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