Semi-automatic identification photo generation with facial pose and illumination normalization

Bo Jiang; Sijiang Liu; Song Wu

doi:10.1117/12.2243265

11 July 2016 Semi-automatic identification photo generation with facial pose and illumination normalization

Bo Jiang, Sijiang Liu, Song Wu

Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100110B (2016) https://doi.org/10.1117/12.2243265
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan

Abstract

Identification photo is a category of facial image that has strict requirements on image quality like size, illumination, user expression, dressing, etc. Traditionally, these photos are taken in professional studios. With the rapid popularity of mobile devices, how to conveniently take identification photo at any time and anywhere with such devices is an interesting problem. In this paper, we propose a novel semi-automatic identification photo generation approach. Given a user image, facial pose and expression are first normalized to meet the basic requirements. To correct uneven lighting condition in photo, an facial illumination normalization approach is adopted to further improve the image quality. Finally, foreground user is extracted and re-targeted to a specific photo size. Besides, background can also be changed as required. Preliminary experimental results show that the proposed method is efficient and effective in identification photo generation compared to commercial software based manual tunning.

Citation Download Citation

Bo Jiang, Sijiang Liu, and Song Wu "Semi-automatic identification photo generation with facial pose and illumination normalization", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110B (11 July 2016); https://doi.org/10.1117/12.2243265

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