Human Thermal Face Extraction Based on SuperPixel Technique

Citation:
Abdelhameed Ibrahim, T. Gaber, T. Horiuchi, V. Snasel, and A. E. Hassanien, "Human Thermal Face Extraction Based on SuperPixel Technique ", the 1st International Conference on Advanced Intelligent Systems and Informatics (AISI’15) Springer. , Beni Suef University, Beni Suef, Egypt , Nov. 28-30, 2015.

Date Presented:

Nov. 28-30

Abstract:

Face extraction is considered a very important step in devel-
oping a recognition system. It is a challenging task as there are di erent
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 com-
putational eciency 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 superpix-
els 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 di erent artifacts in many cases compared to the most
related work.

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