Based on facial features extraction and verification, we present a new human face detection method.
提出了一种基于特征提取和验证相结合的人脸检测方法。
Facial features extraction is one of the essential techniques in automated visual interpretation and recognition of human faces.
人脸面部特征提取是自动视觉翻译和人脸识别中的最关键的技术之一。
This paper combines facial features extraction with image fusion algorithm, so that we can automatically obtain synthesis results without using 3d facial models.
该算法将人脸特征提取与图像复合相结合，无需3维人脸模型重建，自动合成具有源图像主要五官特征的结果图像。
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.
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。
Face contour extraction is a significant precondition of facial image analysis such as facial features detection and face recognition.
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.
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。
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