不同光照下基于混合肤色匹配的鲁棒人脸检测

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI:10.1109/ECACE.2019.8679481

M. Akash, M. Akhand, N. Siddique

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引用次数: 4

摘要

近年来，人类肤色属性的融合被认为是一种改进人脸检测的方法。有不同的肤色匹配技术，每个人都适合特定的照明条件。在本研究中，考虑混合肤色检测方法，结合不同颜色检测方法的互补强度，开发了一种鲁棒人脸检测方法。本文提出的混合肤色检测方法与最流行的基于Haar特征的人脸检测(HFFD)方法进行了测试，并在来自基准人脸数据集的大量图像上识别了性能。实验结果和分析表明，所提出的人脸检测系统显著提高了HFFD的性能。

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Robust Face Detection Using Hybrid Skin Color Matching under Different Illuminations

Recently, human skin color property incorporation is considered a way to improve face detection. There are different skin color matching techniques and each individual one is found suitable for a specific illumination condition. In this study, a robust face detection is developed considering a hybrid skin color detection method which combines complementary strength of different color detection methods. The proposed hybrid skin color detection method is tested with the most popular Haar Feature Based Face Detection (HFFD) method and identified performance on a large number of images from a benchmark face data set. From the experimental results and analysis, it is revealed that proposed face detection system improves the performance of HFFD significantly.

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2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)

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