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3 January 2020 Light field camera based automatic algorithm for optimal face search
Baoqi Zhao, Junmei Sun, Yao Zheng, Fei Yu, Xiumei Li
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Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113730D (2020) https://doi.org/10.1117/12.2557249
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China
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.
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Baoqi Zhao, Junmei Sun, Yao Zheng, Fei Yu, and Xiumei Li "Light field camera based automatic algorithm for optimal face search", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113730D (3 January 2020); https://doi.org/10.1117/12.2557249
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KEYWORDS
Facial recognition systems
Cameras
Image processing
Detection and tracking algorithms
Light sources and illumination
Data acquisition
Principal component analysis
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