Description: Automatic face recognition system has half of the framework as shown in the task and complete the corresponding function. (A) face image acquisition: In general, the image acquisition camera intake, nitrogen uptake of the image is real, is the picture of the face or to relatively simple, can not be considered through the camera head intake of the head, but given directly to the image you want to identify. (2) the detection of human faces: the face detection task is to determine whether there is a face in the static image. If there is a face, given the coordinates of the location in the image, the size of the face region. The face tracking needs further output the detected position of the face, size, state of continuous change over time. (3) feature extraction of facial feature points detection and image calibration can determine people face significant feature points (such as eyes, eyebrows, nose, mouth and other organs), but also can get the shape of these organs and their facial cont
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