Abstract
There are many factors that affect face recognition in reality, such as the changes of illumination, occlusion, facial muscle features. In addition, the images collected from the same person vary significantly under indoor and outdoor lighting conditions. The change of these factors will greatly reduce the recognition accuracy and weaken the effect of face recognition. The illumination problem in face recognition can generally be solved by feature extraction, image preprocessing, image recognition, and the construction of 3D face model. Simple image lighting conditions can be judged according to the gray average. Among many face recognition methods, the model-based algorithm is relatively complex, and the two image standardization algorithms based on preprocessing are relatively simple. Therefore, the method of extracting illumination invariant features should be more robust. From the perspective of the visual angle, it is of practical significance to use the enhanced image standardization algorithm.
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Acknowledgment
This paper was supported in part by the National Natural Science Foundation of China under Grant No.61272036, and the key Disciplines of Computer Science and Technology of Shanghai Polytechnic University under Grant No. XXKZD1604.
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Yu, L., Li, K., Zheng, J. (2022). Analysis of the Influence of Illumination Change on Face Recognition. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_48
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DOI: https://doi.org/10.1007/978-3-030-81007-8_48
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