提出了一个基于肤色并融合多种信息的人脸轮廓提取方法。
A new face contour extraction method was proposed by using skin color and multiple information fusion.
人脸轮廓提取是人脸特征检测和人脸识别等人脸图像分析的重要前提。
Face contour extraction is a significant precondition of facial image analysis such as facial features detection and face recognition.
本文对边界提取算法进行改进，满足人脸的轮廓边界的复杂性要求。
In this paper, the contour extraction algorithm has been improved to meet the complexity need of the face contour.
作为人脸识别的一个重要内容，人脸轮廓线的提取是许多其它艺术影像处理的基础。
As the important content of face recognition, the extraction of face contour line is a hotspot and a nodus.
根据动态模板匹配理论，提出了提取人脸面部特征的系列算法，特征是精确的轮廓描述而非简单的数字表达。
Facial features extraction algorithms presented are based on deformable template model. In this paper, facial features are described accurately about contour but not express simply with data.
在人脸任意位置下，利用PCA自动确定人脸纵方向，采用网格配准方法提取对称面和对称轮廓线；
The vertical direction of face is determined by the PCA at the random pose. Based on surface registration, the symmetrical surface and symmetrical profile are extracted.
提出了一种全新的人脸脸部轮廓提取算法，即运用先验模板及交替补偿机制的方法提取脸部轮廓。
A brand new method, prior template with alternate compensation rule, to extract the face contour is proposed.
首先结合几何约束与曲率信息定位特征点，根据特征点确定人脸对称面，提取人脸侧面轮廓线。
Then the symmetrical plane of 3D face is determined based on the feature points, and the profile is determined by the obtained symmetrical plane.
首先结合几何约束与曲率信息定位特征点，根据特征点确定人脸对称面，提取人脸侧面轮廓线。
Then the symmetrical plane of 3D face is determined based on the feature points, and the profile is determined by the obtained symmetrical plane.
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