Face recognition with partial occlusion

Xiao Luan; Bin Fang; Linghui Liu

doi:10.1117/12.2030970

19 July 2013 Face recognition with partial occlusion

Xiao Luan, Bin Fang, Linghui Liu

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88781C (2013) https://doi.org/10.1117/12.2030970
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

In the present paper, we propose a novel method for face recognition against contiguous occlusion. The general idea is to eliminate the impact of occlusions on the linear regression-based classification (LRC) method. Inspired by the level set methods that can provide smooth and closed contours as segmentation results which fit for the assumption of spatially continuity about occlusion, we show how to use the spatial continuity of pixels to segment the occluded regions. By incorporating the idea of level set based image segmentation into the LRC, the proposed approach is capable of reliably determining the occluded regions and removing them from LRC framework. Extensive experiments on publicly available databases (Extended Yale B and AR) show the efficacy of the proposed approach against different types of occlusion.

Citation Download Citation

Xiao Luan, Bin Fang, and Linghui Liu "Face recognition with partial occlusion", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88781C (19 July 2013); https://doi.org/10.1117/12.2030970

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