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1)  face segmentation
人脸分割
1.
Gabor Active Shape Model and Its Application to Face Segmentation;
Gabor ASM及其在人脸分割中的应用
2.
The technology of face segmentation in color image with complicated background is introduced in this paper.
主要介绍了如何在含有复杂背景的彩色图像中进行人脸分割的技术。
3.
In this paper, a new face segmentation algorithm is put forward to deal with the uncertainty of face location and the discontinuity of face contour.
针对复杂背景下人脸位置的不确定性和人脸轮廓边缘点的不连续性,本文提出一种新的人脸分割算法,能够在复杂背景下将人脸快速分割出来。
2)  segmentation of face-like regions
人脸区域分割
1.
In this paper a novel algrithm for segmentation of face-like regions is proposed which can segment the face-like regions from color images with relatively faster speed.
本文提出一种新颖的,快速的人脸区域分割方法,能快速分割出彩色图像中的人脸区域。
3)  face classification
人脸分类
1.
This paper proposes a method for face classification based on face component.
提出一种基于部件的人脸分类方法,将人脸部件的离散余弦变换系数作为特征向量,通过支持向量机训练分类器。
2.
Accordingly, face classification algorithm based on fuzzy genetic algorithms (FGAs) and support vector machines (SVMs) are proposed.
本文首先全面介绍了近年来人脸识别技术发展的背景及本文的研究的目的及贡献;然后在相关文献的基础上,对当前流行的人脸数据库、人脸特征提取以及人脸分类等技术进行综述,从而为本文下面创新点的引出做了铺垫。
4)  intersected human face
分块人脸
1.
According to powerful compression and expression ability for high-dimensional image of wavelet multi-scale transformation,a feature extraction and recognition technology of intersected human face based on wavelet transform and KPCA(kernel principal component analysis) is proposed in this paper.
鉴于小波多尺度变换对高维图像特征具有良好的压缩和表达能力,提出了一种融合小波变换与KPCA(核主成分分析)方法的分块人脸特征抽取与识别算法。
5)  facial feature segmentation
脸部特征分割
6)  people segmentation
多人分割
补充资料:Dedekind分割


Dedekind分割
Dedekind cut

  D日加脑目分割[D汕如目cut;皿e八eKou皿。即ee,e。。e],分割(cut) 把实数集R(或有理数集Q)分割成两个非空集合A和B,其并为R(或Q),并使得对任何a6A和be及都有a  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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