@inproceedings{12bf46a62429439b9cae5c94dc651178,
title = "A Novel Illumination Invariant Feature Extraction Method Based on Improved Local-Gravity-Face",
abstract = "In recent years, face recognition technology has made great progress and achieved high accuracy. In the case of extreme illumination changes, the accuracy of face recognition drops sharply. Based on Local-Gravity-Face(LG face), an excellent illumination invariant feature extraction method, this paper proposes an improved LG face and a novel distance measurement method. Combined with Gamma Correction and Difference of Gaussian (DOG) filtering, it achieves a high correct recognition rate on Yale B+, and reduces the amount of calculation, thus can achieve real-time detection.",
keywords = "Complex Illumination, Face Recognition, Facial Feature, Illumination Invariants, Image Processing",
author = "Xin Chen and Xiwei Peng and Jin Tang and Bai Luo",
note = "Publisher Copyright: {\textcopyright} 2021 Technical Committee on Control Theory, Chinese Association of Automation.; 40th Chinese Control Conference, CCC 2021 ; Conference date: 26-07-2021 Through 28-07-2021",
year = "2021",
month = jul,
day = "26",
doi = "10.23919/CCC52363.2021.9550406",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "7143--7147",
editor = "Chen Peng and Jian Sun",
booktitle = "Proceedings of the 40th Chinese Control Conference, CCC 2021",
address = "United States",
}