Facial image acquiring method and device

Abstract

The invention discloses a facial image acquiring method and device. The method comprises the steps of acquiring the feature point of a frame where a facial image in video data is located, carrying out weighted summation on the acquired feature point of the frame where the current facial image is located and the feature point of a frame where a former facial image is located according to the correlation coefficient of the frame where the current facial image in the video data is located and the frame where the former facial image is located to obtain a weighted feature point, and simulating facial expression and action according to the weighted feature point to obtain the facial image of the frame where the current facial image is located. According to the technical scheme, the technical problems existing in correlation techniques such as inaccurate feature point positioning are solved, therefore, a quite stable feature point tracking result can be obtained, and influence of feature point positioning deviation on the facial image is reduced.

Description

technical field [0001] The present invention relates to the communication field, in particular, to a method and device for acquiring facial images. Background technique [0002] The facial expressions are the basis of human expression and the way of emotional communication. With the development of computer vision technology, facial action recognition has played an important role in many fields such as human-computer interaction, two-dimensional and three-dimensional facial animation, psychology and cognition. Since the movement of the face is a non-rigid body movement and is affected by factors such as individual differences in the face, perspective changes, and uneven lighting, how to let the computer automatically capture human emotional expressions and effectively store and exchange them is a challenging task. Efficiency The facial motion capture and expression motion simulation of the facial feature point extraction system are the most critical and basic parts. [0003...

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