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Highly Efficient Face Detection in Color Images

机译:彩色图像中的高效人脸检测

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摘要

A highly efficient algorithm for image-based face detection is proposed in this paper, whose features include a fast and regular search method, a local histogram equalization of face candidates, and a frontal face classifier. Experimental results show that the proposed algorithm works efficiently with different types of images. Besides, the average detection rate is 92%, and the required execution time is about 90ms/frame.
机译:提出了一种高效的基于图像的人脸检测算法,其特征包括快速规则的搜索方法,人脸候选者的局部直方图均衡化,以及人脸分类器。实验结果表明,该算法能有效处理不同类型的图像。另外,平均检测率为92%,所需的执行时间约为90ms /帧。

著录项

  • 来源
  • 会议地点 Tainan(CT);eTainan(CT)
  • 作者单位

    Media IC and System Lab Graduate Institute of Electronics Engineering and Department of Electrical Engineering National Taiwan University BL-421, No. 1, Sec. 4, Roosevelt Rd., Taipei 106, Taiwan;

    Media IC and System Lab Graduate Institute of Electronics Engineering and Department of Electrical Engineering National Taiwan University BL-421, No. 1, Sec. 4, Roosevelt Rd., Taipei 106, Taiwan;

    Media IC and System Lab Graduate Institute of Electronics Engineering and Department of Electrical Engineering National Taiwan University BL-421, No. 1, Sec. 4, Roosevelt Rd., Taipei 106, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络;
  • 关键词

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