Description: 本书对目前常用的人脸特征点定位算法和模型进行了总结，并在前人的基础
上提出一个基于肤色模型的对AAM 模型的改进方法-This book is currently used for facial feature point localization algorithm and model are summarized, and submitted on the basis of our predecessors of a model based on the color model of the AAM method Platform: |
Size: 2007040 |
Author:李尊 |
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Description: Real-Time Facial Feature Point Extraction-Localization of facial feature points is an important step for many subsequent facial image analysis tasks. In this paper, we proposed a new coarse-to-fine method for extracting 20 facial feature points from image sequences. In particular, the Viola-Jones face detection method is extended to detect small-scale facial components with wide shape variations, and linear Kalman filters are used to smoothly track the feature points by handling detection errors and head rotations. The proposed method achieved higher than 90 detection rate when tested on the BioID face database and the FG-NET facial expression database. Moreover, our method shows robust performance against the variation of face resolutions and facial expressions. Platform: |
Size: 871424 |
Author:Ng Jack |
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Description: 人脸视频图像编码是近年来图像编码领域里的一个研究热点问题,它在通信、互联网等方面有着广泛的应用前景。人脸图像编码的研究包含很多子问题,主要的三个方面为:精确的人脸目标定位算法,实时的人脸目标跟踪算法和高效的人脸图像编码方法。本文的主要研究工作在于: 1) 提出帧间差分和背景差分相结合的人脸目标定位算法,在人脸特征选择上,主要使用形状特征,通过椭圆拟合来得到人脸的位置。 2) 采用基于Kalman滤波的运动预测方法对人脸的区域变化进行预测,以此缩小目标可能存在的区域(ROI).-Facial video image coding image compression in recent years a hot research topic in the field of the problem, it is in the communication, the Internet have a wide range of applications. Coding of face images contain many sub-problems, the main three are: accurate target location algorithm for face, real-time face tracking algorithm and efficient facial image coding method. This major research work are: 1) of the frame difference and background difference goal of combining face localization algorithm, feature selection in the human face, the main use of shape features, by ellipse fitting to get the location of the face. 2) Kalman filtering based motion prediction method changes the face of the region predicted to narrow the possible target area (ROI). Platform: |
Size: 1024 |
Author:周参 |
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Description: 通过人眼图像来检测驾驶员疲劳驾驶是目前的主流方向,面部及眼睛定位是其中关键的环节。针对驾驶员疲
劳检测系统,结合图像处理和模式识别技术,提出一种基于人脸面部特征的人眼定位方法-Images by the human eye to detect driver fatigue is the main driving direction, face and eye location is the key link. For driver fatigue detection system that combines image processing and pattern recognition is proposed based Facial Feature Localization of human eyes Platform: |
Size: 293888 |
Author:邢春 |
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Description: 文章在小波分析的基础上，提出了一种在图像的小波分解数据域中实现对称变换的方法，
并把这种方法运用于人脸特征的定位，这种方法可以提高人脸特征定位的效率。-Based on wavelet analysis, the article proposes a wavelet decomposition of the image data domain symmetry transformation method, and this method is applied to the positioning of the facial feature, this method can improve the efficiency of the facial features localization . Platform: |
Size: 444416 |
Author:东方 |
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Description: 本程序主要处理BMP位图，依次进行“人脸检测与定位”操作和“人脸特征标注”操作，最后进行识别以区分先后两个人脸。-This procedure is mainly handle BMP bitmap, in order to face detection and localization operation and facial feature annotation operation, finally carries on the recognition to distinguish has two face. Platform: |
Size: 252928 |
Author:孟浩 |
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Description: 基于 AAM 的人脸特征定位方法在建立人脸模型过程中，不但考虑
局部特征信息，而且综合考虑到全局形状和纹理信息，通过对人脸形状特征和纹
理特征进行统计分析，建立人脸混合模型，即为最终对应的 AAM 模型。-AAM facial features localization method based on face model in establishing the process, not only consider local feature information, and considering the overall shape and texture information through facial shape and texture features for statistical analysis, facial hybrid model , is the final corresponding AAM model. Platform: |
Size: 711680 |
Author:李猛 |
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Description: ASM算法 MATLAB源代码
人脸特征点定位的目的是在人脸检测的基础上，进一步确定脸部特征点（眼睛、眉毛、鼻子、嘴巴、脸部外轮廓）的位置。定位算法的基本思路是：人脸的纹理特征和各个特征点之间的位置约束结合。-The purpose of the facial feature point positioning is to further determine the position of the facial feature points (eye, eyebrows, nose, mouth, contour of the face) on the basis of face detection. The basic idea of the localization algorithm is that the texture features of the face and the position constraint between the individual feature points are combined. The classical algorithm is ASM and AAM. Platform: |
Size: 152576 |
Author:曾 |
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Search - Facial feature localization