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Face Detection Based on Fractal and Complexion Model in the Complex Background

机译:基于分形和肤色模型在复杂背景下的面部检测

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摘要

In this paper, a new face detection algorithm based on fractal theory and complexion model is proposed. On the basis of the traditional face detection, the new algorithm estimated the fractal dimension of face area to exclude the non-face area and extract the face area fast and accurately. Furthermore, its calculation is simple and it can realize multi-angle detection in the complex background. As well as the new algorithm can overcome the shortcomings of high misdetection and low capability in adapting to changes of traditional way. Simulations are carried out with detailed analyses, which demonstrating the superior accuracy and high efficiency of our algorithm.
机译:本文提出了一种基于分形理论和络合模型的新型面检测算法。在传统的面部检测的基础上,新算法估计了面部面积的分形尺寸排除非面积区域,快速准确地提取面部区域。此外,其计算很简单,它可以实现复杂背景中的多角度检测。除了新算法可以克服高误差和低能力的缺点,适应传统方式的变化。通过详细分析进行模拟,展示了我们算法的卓越准确性和高效率。

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