基于支持向量机的人脸特征提取与文本描述分类

N. Bansode, P. Sinha
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引用次数: 2

摘要

人脸特征检测与提取在人脸识别中起着至关重要的作用。本文提出了一种基于支持向量机分类器的人脸特征描述新方法。从图像内容中搜索图像是计算机视觉和模式识别中的一个主要挑战。根据人脸特征的语义为其分配文本标签。文本图像描述的概念有利于用户借助图像的视觉属性来搜索图像。眼睛、鼻子、嘴巴等面部特征被标记为小、正常和大等视觉属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Facial feature extraction and textual description classification using SVM
Facial feature detection and extraction plays a significant role in face recognition. In this paper, we proposed a new approach for face feature description using support vector machine classifier. Searching image from the image contents is a major challenge in computer vision and pattern recognition. The textual label is assigned to the face feature according to the semantic meaning of the feature. The concept of the textual image description gives advantages to the user to search the image with the help of the visual attributes of the image. The face features like eyes, nose, mouth are labeled with the visual attributes like small, normal and large.
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