Abstract
Face extraction is considered a very important step in developing a recognition system. It is a challenging task as there are different face expressions, rotations, and artifacts including glasses and hats. In this paper, a face extraction model is proposed for thermal IR human face images based on superpixel technique. Superpixels can improve the computational efficiency of algorithms as it reduces hundreds of thousands of pixels to at most a few thousand superpixels. Superpixels in this paper are formulated using the quick-shift method. The Quick-Shift’s superpixels and automatic thresholding using a simple Otsu’s thresholding help to produce good results of extracting faces from the thermal images. To evaluate our approach, 18 persons with 22,784 thermal images were used from the Terravic Facial IR Database. The Experimental results showed that the proposed model was robust against image illumination, face rotations, and different artifacts in many cases compared to the most related work.
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Ibrahim, A., Gaber, T., Horiuchi, T., Snasel, V., Hassanien, A.E. (2016). Human Thermal Face Extraction Based on SuperPixel Technique. In: Gaber, T., Hassanien, A., El-Bendary, N., Dey, N. (eds) The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt. Advances in Intelligent Systems and Computing, vol 407. Springer, Cham. https://doi.org/10.1007/978-3-319-26690-9_15
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