会议论文详细信息
2018 International Conference on Advanced Electronic Materials, Computers and Materials Engineering | |
Face Detection Based on Improved Color Space of YCbCr | |
材料科学;无线电电子学;计算机科学 | |
Li, E.^1 ; Yihong, Xu^1 | |
College of Mechanical and Electrical Engineering, Shandong Management University, Jinan | |
250357, China^1 | |
关键词: Color space; Detection rates; Face detection algorithm; Face images; Ycbcr color spaces; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/439/3/032075/pdf DOI : 10.1088/1757-899X/439/3/032075 |
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来源: IOP | |
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【 摘 要 】
Face detection is increasingly common in face recognition. Face detection is the most important step, so it is necessary to improve the accuracy of face detection. In this paper, the traditional YCbCr color space has been improved in the face detection, and the improved color space can fully reflect the face color, so that the system can detect the face more accurately. Lots of tests on face image show that the established system created in this paper, the face detection algorithm based on improved YCbCr color space can carry on the face detection more accurate, improve the detection rate of the whole system.
【 预 览 】
Files | Size | Format | View |
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Face Detection Based on Improved Color Space of YCbCr | 322KB | ![]() |