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Light field camera based automatic algorithm for optimal face search
Author(s): Baoqi Zhao; Junmei Sun; Yao Zheng; Fei Yu; Xiumei Li
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Paper Abstract

In recent years, face recognition has achieved high accuracy and has been widely used in many fields. However, the performance of face recognition is not satisfied in some unrestricted situations such as in monitoring scenarios. The light field camera, as an image acquisition equipment, can capture images before focusing them and allows us to achieve clearer images. However, the existing face recognition algorithms based on light field camera need to search the optimal face manually. In this paper, an automatic algorithm for optimal face search is proposed. With this search algorithm, a new face recognition framework based on light field camera is proposed. Two face recognition algorithms are used to test the proposed framework. The experimental results show that the proposed methods combined with the light field camera can achieve better results than with conventional camera and the whole framework does not need extra manual operation.

Paper Details

Date Published: 3 January 2020
PDF: 7 pages
Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113730D (3 January 2020); doi: 10.1117/12.2557249
Show Author Affiliations
Baoqi Zhao, Hangzhou Normal Univ. (China)
Junmei Sun, Hangzhou Normal Univ. (China)
Engineering Research Ctr. for Software Testing and Evaluation of Fujian Province (China)
Yao Zheng, Univ. of Electronic Science and Technology of China (China)
Fei Yu, Hangzhou Normal Univ. (China)
Xiumei Li, Hangzhou Normal Univ. (China)


Published in SPIE Proceedings Vol. 11373:
Eleventh International Conference on Graphics and Image Processing (ICGIP 2019)
Zhigeng Pan; Xun Wang, Editor(s)

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