Fusing the original and its mirror image to perform collaborative representation for face recognition

Min Du; Lianhong Wang; Ziyao Li

doi:10.1117/12.2524145

6 May 2019 Fusing the original and its mirror image to perform collaborative representation for face recognition

Min Du, Lianhong Wang, Ziyao Li

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 110690K (2019) https://doi.org/10.1117/12.2524145
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

More training samples can represent more various changes of face image, owing to the variational illumination, facial expressions and poses. However, in real-world applications, due to the limitation of storage capacity and captured image time, the number of face training samples obtained are often limited. In this paper, for the small size problem, we propose to firstly generate various mirror images by the original face images, viewed as its mirror image. Its mirror image is opposite to the original face image with facial details. Then the original sample and its mirror image is respectively used to perform collaborative representation classification method (CSC). Finally, an adaptive weight selection method is proposed to fuse the original face image and its mirror image based on assigning a better weight to the original face image. The results of experiments show that the presented scheme is effective.

Citation Download Citation

Min Du, Lianhong Wang, and Ziyao Li "Fusing the original and its mirror image to perform collaborative representation for face recognition", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110690K (6 May 2019); https://doi.org/10.1117/12.2524145

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KEYWORDS

Mirrors

Facial recognition systems

Databases

Image fusion

Image classification

Error control coding

Error analysis

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