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[Graph programlda

Description: 这是一个lda的程序,在别处找到的,觉得还行,想和大家分享分享。识别率确实不错,我实在orcl人脸库上进行的,在其他的人脸库里还未来得及试验,相信也会很不错的。大家多多支持啊。-lda This is a procedure in finding elsewhere, I felt that trip, and would like to share with you to share. Recognition rate is not bad, I really orcl people on the face of the other person has not yet time to face 13-17 test believe will be very good. Members can support ah.
Platform: | Size: 2048 | Author: shelly | Hits:

[Graph RecognizePCA

Description: Adaboost实现人脸检测,这个很好用,速度快,准确-Adaboost face detection to achieve this good use, fast, accurate
Platform: | Size: 45056 | Author: 胡源 | Hits:

[Graph program78455

Description: 用 gabor 和 AdaBoost (MultiBoost )做目标检测图像识别-Using gabor and AdaBoost (MultiBoost) to do image recognition object detection
Platform: | Size: 1111040 | Author: wk | Hits:

[Special Effectsadaboostfor

Description: adaboost人脸分割,通过adaboost方式,把人脸部的特征切割出来,方便用pca算法处理之类的。-adaboost face segmentation by adaboost way, the people cut out facial features, easy handling and the like pca algorithm used.
Platform: | Size: 12924928 | Author: xuepng | Hits:

[Graph Recognizeface-Adaboost

Description: 用Adaboost和PCA算法实现人脸识别,用Python写的代码,根据经典的PCA和SVM算法改编(Adaboost and PCA algorithm for face recognition, code written in Python, adapted from the classic PCA and SVM algorithm)
Platform: | Size: 2048 | Author: L.Xun | Hits:

[Graph programFaceRec

Description: 分别用基于PCA+SVM和PCA+Adaboost 两种算法进行对200张人脸图片进行识别。(200 face images are identified by two algorithms based on PCA+SVM and PCA+Adaboost.)
Platform: | Size: 16058368 | Author: 北念 | Hits:

[Special Effects人脸识别 MATLAB代码

Description: 使用pca方法对图像进行特征提取,对训练集的20个人的共一百张人脸进行训练,使用adaboost算法生成强分类器,可以对测试集的人脸图片进行识别,且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algorithm is used to generate a strong classifier, which can recognize the face images in the test set with a high recognition rate)
Platform: | Size: 19835904 | Author: 王二愣子 | Hits:

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