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rldw
- 本文对几何模型匹配方法进行了研究，提出了一套完整的人脸定位算法。在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究-geometric model of this matching method for the study and submit a complete set of facia
Vision_Library_(VLIB)ApplicationProgrammingInterfa
- TI官方视觉分析开发库接口说明文件，很难得到，详细讲述了各种算法（跟踪、脸部识别等所需要的算法核心）。-TI visual analysis of official documentation library interface development is difficult to obtain, describe in detail the various algorithms (tracking, face recognition algorithms need the core.)
paper
- 本文根据证件照片中脸部各个对象的不同特征， 分别采用不同的定位方法定位各个特征点。-This photo of the face according to documents the various objects of different characteristics, different positioning methods were used to locate each feature point
paper1
- 脸部特征定位是人脸分析技术的一个重要组成部分，其目标是在图象或图象序列中的指定区域内搜索人 脸特征(如眼、鼻、嘴、耳等)的位置-This facial feature location based photos of the face of technology is an important part of their goal is to image or image sequence in search of people within the designated area
people-face-detection
- 用实验室项目中已提取的人脸模板，将被检图像与其进行模板匹配，判断其是否含有人脸，若含有则将脸部图像截出，并存入指定文件夹中，因此可实现人脸识别。-Extracted face with a lab project template, will be seized image template matching with, to determine whether they contain a human face, if they contain will face image is cut o
face-detection
- 基于Opencv库的脸部识别，可识别出人脸并用圆画出，并可上升至识别眼睛区域。-Face recognition based on the Opencv library, you can identify the face and draw a circle, and can rise to identify the eye area.