Multilevel Ising search for human face detection
Multilevel Ising search for human face detection
复制标题
用于人脸检测的多级 Ising 搜索
DOI：
10.1117/12.323173
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
T. Mishima
中科院分区：
文献类型：
--
作者：
K. Hotta;Masaru Tanaka;Takio Kurita;T. Mishima
本文提出了一种用于人脸检测的多级伊辛搜索方法，提高了搜索速度。以便利用从先前搜索点获得的信息。采用伊辛模型表示候选“人脸”位置，并与尺度不变人脸检测方法相结合。在人脸检测中，“人脸”类在判别空间中与均值向量的距离表示人脸的可能性。通过将测量到的距离作为外磁场积分到Ising模型的能量函数中，有效地缩小了搜索空间（减少了“face”的候选项）。通过结合外磁场中人脸区域的颜色信息，可以进一步减少候选“人脸”。在多级伊辛搜索中，将不同分辨率的候选人脸（自旋）用金字塔结构表示，并采用由粗到精的策略。实验结果表明，该多级伊辛搜索方法能够有效地缩小搜索空间，正确地检测人脸。
In this paper, a multilevel Ising search method for human face detection is proposed to speed up the search. In order to utilize the information obtained from the previous searched points. Ising model is adopted to represent the candidates of `face' positions and is combined with the scale invariant human face detection method. In the face detection, the distance from the mean vector of `face' class in discriminant space represents the likelihood of face. By integrating the measured distance into the energy function of Ising model as the external magnetic field, the search space is narrowed down effectively (the candidates of `face' are reduced). By incorporating color information of face region in the external magnetic field, the `face' candidates can be reduced further. In the multilevel Ising search, face candidates (spins) with different resolutions are represented in a Pyramidal structure and the coarse-to-fine strategy is taken. We demonstrate that the proposed multilevel Ising search method can effectively reduce the search space and can detect human face correctly.