计算机与现代化 ›› 2013, Vol. 218 ›› Issue (10): 30-34.doi: 10.3969/j.issn.1006-2475.2013.10.009
• 图像处理 • 上一篇 下一篇
刘在英，杨平，张丽晓
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LIU Zai-ying, YANG Ping, ZHANG Li-xiao
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摘要： 针对由于背景复杂、肤色、表情等给人脸检测带来的困难，提出一种改进的基于肤色模型和高斯分布多人脸检测方法。该方法利用肤色模型获取肤色区域，通过多种人脸显性特征得到人脸候选区域和对边缘检测后二值图像分别向X，Y轴投影，建立高斯分布模型来准确定位人脸的区域。实验结果表明，该算法检测速度快、定位率高、鲁棒性强。
关键词: 人脸检测, 人脸特征提取, 高斯分布模型, 投影
Abstract: Focusing on multi-face detection problems of color image with complicated background and so on, this paper proposes an improved multi-face detection method based on skin-color model and Gaussian distribution. Skin regions are acquired using skin-color model in the first stage. In the second stage, facial features are utilized to obtain face candidates. Finally, two Gaussian curves are acquired by projecting the edge-detection-image to X-axes and Y-axes respectively, and an accurate face region is found through the solution of Gaussian equation. Simulation shows that the robust method proposed in the paper can improve the multi-face detection accuracy and the detection speed.
Key words: face detection, facial feature extraction, Gaussian distribution model, projection
中图分类号:
TP391.41
刘在英;杨平;张丽晓. 基于肤色模型和高斯分布的多人脸检测方法[J]. 计算机与现代化, 2013, 218(10): 30-34.
LIU Zai-ying;YANG Ping;ZHANG Li-xiao. Multi-face Detection Method Based on Skin-color Model and Gaussian Distribution[J]. Computer and Modernization, 2013, 218(10): 30-34.
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链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2013.10.009
http://www.c-a-m.org.cn/CN/Y2013/V218/I10/30
