搜索资源列表
PCA
- 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
78455
- 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
adaboostfor
- 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.
face-Adaboost
- 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)
FaceRec
- 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.)
人脸识别 MATLAB代码
- 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 algor