Description: 一个用java编写的人脸识别程序,识别的效果还不错-prepared with a face recognition procedures, identification of the results were pretty good Platform: |
Size: 296960 |
Author:于帆 |
Hits:
Description: 这是一个完整的改进人脸识别系统,能对读入图片中的人脸进行识别,并进行一些简单数字图象处理-This is a complete improve face recognition systems can be read into the pictures of the human face identification, and some simple digital image processing Platform: |
Size: 3053568 |
Author:任 |
Hits:
Description: 这是个图象中人脸识别的程序，对人的五官有很好的识别和勾画！-This is the image Face Recognition procedures, the features of a very good identification and sketches! Platform: |
Size: 3055616 |
Author:zhou |
Hits:
Description: 人脸侦测，人脸识别，人脸辨别，人脸辨识，实时影像-face detection, face recognition, face identification, face recognition, real-time video Platform: |
Size: 102400 |
Author:赖岱佑 |
Hits:
Description: 人脸侦测，人脸识别，人脸辨别，人脸辨识，实时影像-face detection, face recognition, face identification, face recognition, real-time video Platform: |
Size: 346112 |
Author:赖岱佑 |
Hits:
Description: Malic是一个完整的Linux下的人脸识别系统源代码，它是SourceForge上的一个开源项目，使用Malib实现实时处理，CSU Face Identification Evaluation System进行人脸识别。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(EBGM)-Malic is a complete face recognition system under the Linux source code, it is a SourceForge open source project, using real-time Malib treatment, CSU Face Identification Evaluation System for Face Recognition. Algorithms include: Principal component analysis (principle components analysis (PCA)), aka eigenfaces algorithm, mixed-principal component analysis, linear discriminant analysis (PCA+ LDA), the image difference classifier (IIDC), a flexible image matching algorithm (EBGM) Platform: |
Size: 977920 |
Author:严锐 |
Hits:
Description: 利用FISHER线型识别人脸，是个比较好的程序，简单易懂，有注释。-FISHER linear identification using face, is a better procedure, easy-to-read, have the Notes. Platform: |
Size: 184320 |
Author:刘毅 |
Hits:
Description: Malic是一个完整的Linux下的人脸识别系统源代码，它是SourceForge上的一个开源项目，使用Malib实现实时处理，CSU Face Identification Evaluation System进行人脸识别。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(EBGM)-Malic is a complete face recognition system under the Linux source code, it is a SourceForge open source project, using real-time Malib treatment, CSU Face Identification Evaluation System for Face Recognition. Algorithms include: Principal component analysis (principle components analysis (PCA)), aka eigenfaces algorithm, mixed-principal component analysis, linear discriminant analysis (PCA+ LDA), the image difference classifier (IIDC), a flexible image matching algorithm (EBGM) Platform: |
Size: 1326080 |
Author:张晓 |
Hits:
Description: 面部识别，识别人的脸部
通过摄像头来采集图像，然后进行识别-Facial recognition, identification of human face images collected through the camera head, and then identify Platform: |
Size: 1383424 |
Author:王美林 |
Hits:
Description: 擅 蔓：以人脸的表情识别为实验背景， 分析了在对人脸表情的识别过程中，单个独立分薰对识别率的影响，由此进一步总结了在表情识
别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空问所需的独立分量的个数。 独立成分分析；表情识别；独立子空间 -Good man: Face to face identification for the experimental background, the analysis of facial expressions in the identification process, a single smoked separate the impact of the recognition rate, thus further summarized in the expression recognition of how to more effectively select the independent sub-space in order to achieve the recognition rate does not affect the premise, for constituting a separate sub-reducing space required for the number of independent component. Independent component analysis expression recognition independent subspace Platform: |
Size: 272384 |
Author:金振东 |
Hits:
Description: 它是SourceForge上的一个开源项目，使用Malib实现实时处理，CSU Face Identification Evaluation System进行人脸识别。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(EBGM)等等
Malic is realtime face recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face recognition.-It is a SourceForge open source project, using real-time Malib processing, CSU Face Identification Evaluation System for Face Recognition. Algorithms include: Principal component analysis (principle components analysis (PCA)), aka eigenfaces algorithm, mixed-principal component analysis, linear discriminant analysis (PCA+ LDA), the image difference classifier (IIDC), a flexible image-matching algorithm (EBGM), etc. such as Malic is realtime face recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face recognition. Platform: |
Size: 1326080 |
Author:乔超 |
Hits:
Description: 运用神经网络识别简单人脸图形。包括图形处理，训练样本，以及最后识别。-The use of neural networks recognize simple face graphics. Including the graphics processing, training samples, and the final identification. Platform: |
Size: 692224 |
Author:韩君 |
Hits:
Description: 采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface Platform: |
Size: 9036800 |
Author:钟佩 |
Hits:
Search - face identification