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Face recognition
no vote
Application background Using KL algorithm to achieve the face recognition, but must have their own picture library
qq:果果 1 0
1
Template matching target recognition
no vote
Application background Template matching is the basis of object recognition, and the region of the maximum gray level of the object is detected in the target image.
qq:果果 3 0
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Face detection
no vote
Application background The face of the camera, video, pictures in the detection, and recorded the number of human faces
qq:果果 0 0
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Opencv mean value
no vote
Application background Using OpenCV to achieve the mean value, for beginners is very useful for beginners opencv
qq:果果 0 0
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Facial expression recognition
no vote
Application background Expression recognition based on OpenCV platform PCA algorithm is very useful for learning PC algorithm.
qq:果果 0 0
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Realization of Sobel operator
no vote
Application background The implementation of OpenCV based on Sobel, including the relevant documents and detailed code, can be used for image edge detection.
qq:果果 0 0
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Human face recognition
4.0
Application background Detailed on the face, eye detection program code, on the face of a multi angle deflection can be achieved by the code
qq:果果 1 0
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AdaBoost algorithm training process
no vote
Application background The realization of the AdaBoost training classifier detailed process, can be used with the AdaBoost algorithm to achieve
qq:果果 2 0
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Facial feature points extraction
no vote
Application background Opencv+node implementation of the face feature extraction, can be achieved, running, to install node.js can be combined with the opencv , opencv2.4.9-2.4.11;
qq:果果 1 0
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PCA Face Recognition
no vote
Application background Face recognition based on PCAData folder is a training image and test imageMatlab_face_recongnition_pca folder is matlab versionOpencv_face_recongnition_pca folder is the opencv version
qq:果果 0 0
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