Improved Accuracy for Facial Feature Point Detection and Facial Expression Recognition
نویسندگان
چکیده
In this paper algorithm to detects human facial features like the mouth, nose and eyes in a full frontal face image is proposed. The new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their corresponding geometrical point. This project presents and implements a facial feature point extraction and recognition method of facial expression and emotion from still images. There are two steps to recognize the facial emotion. Detecting facial feature point with ROI, and verifying the facial of characteristic with Gabor. .In this paper a new algorithm based on a set of images to facial feature point and facial expression recognition has been proposed. This process calls for four stages pre-processing, edge detection, feature extraction, face detection.
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