Description: 对给定的人脸图象进行定位、检测五官，并对不同角度下拍摄的两副人脸图象进行匹配，最后合成中间图象-right to the face image positioning, detection features, as well as different angles of shooting two face images match, the final synthesis intermediate image Platform: |
Size: 1241088 |
Author:张 姜 |
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Description: 人脸的检测与定位(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。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contrast between local and from the threshold value of two methods to improve the effectiveness of the pretreatment. Image segmentation, to achieve the classic division algorithm, and the use of group Algorithm the division results. in the face matching, based on the realization of the eyes and mouth of the geometric model matching, as well as evaluation of the structure function were studied.) Platform: |
Size: 10977280 |
Author:wfw |
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Description: 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR 01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。
-Face Detection of C/C source code, once published in the OPENCV MAILING LIST. OPENCV mainly to the 3.1 release code so the speed of optimization, and the resolution of a memory leak problem. This procedure used by Paul Viola made (the paper "Rapid Object Detec tion using a Boosted Cascade of Simple Features , "published in CVPR 01) Ada Boosted Cascade algorithm can be said is the best and most fast target detection algorithm. Platform: |
Size: 4096 |
Author:qgfhit |
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Description: Author: David Sedarsky
Summary: MatLab GUI for interface tracking and edge velocity determination
MATLAB Release: R14SP2
Required Products: Image Processing Toolbox
Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract.cfm?URI=ol-31-7-906-Author: David Sedarsky Summary: MatLab GUI for interface tracking and edge velocity determination MATLAB Release: R14SP2 Required Products: Image Processing Toolbox Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract . cfm? URI = ol-31-7-906 Platform: |
Size: 1025024 |
Author:Jallon |
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Description: 用adaboost算法检测人脸时，主要是用Haar特征，这个是用c++编写的代码，欢迎大家下载并参考-with adaboost Face Detection Algorithm, it is mainly used Haar features, This is used to prepare the c code and you are welcome to download and reference! Platform: |
Size: 8192 |
Author:程艳花 |
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Description: 进行人脸检测的代码,主要可以实现人脸特征及肤色检测-for face detection code can be achieved major facial features and skin detection Platform: |
Size: 3036160 |
Author:萧枫 |
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Description: 針對單一人臉做出五官的檢測定位,並在人臉上畫出五官的方框作為表示.-For a single human face detection features make positioning, and his face painted in the box as an express facial features. Platform: |
Size: 3072 |
Author:李毅駿 |
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Description: 人脸检测系统具有以下功能： 1.人脸检测，包括灰度图像和彩色图像，以及USB摄像头实时人脸检测。 2.人脸识别，包括静态人脸识别和USB摄像头实时人脸识别-Face detection system has the following features: 1. Human Face Detection, including gray-scale images and color images, as well as the USB camera in real-time face detection. 2. Face Recognition, including the static face recognition and face recognition in real-time USB camera Platform: |
Size: 243712 |
Author:李成 |
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Description: 人脸检测和人的五官定位，好几种实现方法。-Face detection and facial features of the positioning of several methods. Platform: |
Size: 17287168 |
Author:胡恩良 |
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Description: 人脸检测和人的五官定位!很不错的网站!好好好好好!-Face detection and location of facial features! Very good site! Good good good! Platform: |
Size: 243712 |
Author:李丽 |
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Description: 人脸检测和跟踪学位论文；人脸检测定位：运动区域检测预处理， 肤色区域的分割和利用二值形态学等操作的人脸粗检，利用眼、嘴特征的彩色信息检测的人脸细检，利用投影法检测眼睛和嘴巴亮块的人脸定位。提出了一种基于自适应肤色模型匹配与验证的方法对人脸进行跟踪-Face detection and tracking dissertation Face Detection positioning: Sports regional detection pretreatment, color region segmentation and the use of binary morphological operations, such as human faces rough seizure, the use of eyes, mouth features detection of color information Face Fine Frederick, using projection method bright eyes and mouth block face positioning. A model based on adaptive color matching and validation of the method of face tracking Platform: |
Size: 3622912 |
Author:田卉 |
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Description: 此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do？的ObjectID = 13701＆的objectType =FILE下载。
-The purpose of this paper is threefold: firstly, the local Successive
Mean Quantization Transform features are proposed for illumination
and sensor insensitive operation in object recognition. Secondly, a
split up Sparse Network of Winnows is presented to speed up the
original classifier. Finally, the features and classifier are combined
for the task of frontal face detection. Detection results are presented
for the MIT+CMU and the BioID databases. With regard to this
face detector, the Receiver Operation Characteristics curve for the
BioID database yields the best published result. The result for the
CMU+MIT database is comparable to state-of-the-art face detectors.
A Matlab version of the face detection algorithm can be downloaded
from http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do?objectId=13701&objectType=FILE. Platform: |
Size: 1397760 |
Author:霞 |
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Description: this a face detector using haar like features
this is an extension of viola jones model with lesser number of features or subset of features-this is a face detector using haar like features
this is an extension of viola jones model with lesser number of features or subset of features Platform: |
Size: 1064960 |
Author:somesh |
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Description: Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application
domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of Oriented Gradients, i.e. HOG, features. A K-mean clustering technique is used in a cascade of HOG feature classifiers to detect faces. The evaluation of the algorithm shows similar performance in terms of detection rate as state of the art algorithms. Moreover, unlike state of the art algorithms,our system can be quickly trained before detection is possible. Performance is considerably increased in terms of lower computational cost and lower false detection rate when combined with motion constraint given by moving objects in video sequences. The detected HOG features are integrated within a tracking framework and allow reliable face tracking results in several tested surveillance video sequences. Platform: |
Size: 293888 |
Author:linuszhao |
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Description: 人脸图像中，眼镜遮挡对于人脸检测会有很大的影响，在可见光下采集图像将会由于眼镜的反光及框架的遮挡造成的人脸特征变化而不易检测，而眼睛及其周边特征又是人脸图像识别中十分重要的识别因素，考虑到这个问题，本题决定对人脸图像中的眼镜进行检测并消除，从而清楚的检测出消除眼镜后的人脸图像。-Face images, shutter glasses for a great impact face detection will, who capture images in visible light will be due to occlusion of the reflector and the frame of the glasses due to change difficult to detect face features, and characteristics of the eye and its surrounding is to identify the factors in human face recognition is very important, considering this problem, the question decided to face image detection and elimination of glasses, so clearly detected face image after the elimination of eyeglasses. Platform: |
Size: 415744 |
Author:刘妍妍 |
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Description: 人脸图像中，眼镜遮挡对于人脸检测会有很大的影响，在可见光下采集图像将会由于眼镜的反光及框架的遮挡造成的人脸特征变化而不易检测，而眼睛及其周边特征又是人脸图像识别中十分重要的识别因素，考虑到这个问题，本题决定对人脸图像中的眼镜进行检测并消除，从而清楚的检测出消除眼镜后的人脸图像。-Face images, shutter glasses for a great impact face detection will, who capture images in visible light will be due to occlusion of the reflector and the frame of the glasses due to change difficult to detect face features, and characteristics of the eye and its surrounding is to identify the factors in human face recognition is very important, considering this problem, the question decided to face image detection and elimination of glasses, so clearly detected face image after the elimination of eyeglasses. Platform: |
Size: 940032 |
Author:刘妍妍 |
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Description: 该程序可以追踪人脸并检测人脸的面部特征，从而达到识别人脸的功能，利用了OPENCV的图形处理功能，自动追踪人脸，检测与已载入的数据库进行匹配，进行识别，最终会给出检测结果。(The program can track the face and detect the facial features of the face, so as to achieve the function of recognizing the face, the use of OPENCV graphics processing functions, automatic tracking of the face, the detection and the database has been loaded to match, Give the test results.) Platform: |
Size: 4720640 |
Author:weiqian
|
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Search - face features detection