Rapid generation method for facial animation
An animation and fast technology, applied in the field of image processing, can solve the problems of insufficient real-time and fidelity, high complexity of face animation, and achieve the effect of increasing matching difficulty, good real-time performance and rapid replacement.
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[0026] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.
[0027] This embodiment includes the following steps:
[0028] 1. Face feature point detection
[0029] In this embodiment, 34 facial feature points are used to describe the structural features of the human face, and the definition of the feature points is as follows figure 1 shown. For a front face photo, first use the adaptive machine learning face detection (Adaboost) method to detect the position of the pupil center of the face in the original face picture, and initialize the active shape model (ASM) with the position of the pupil center, by matching Iteratively detect the eyebrows, eyes, nose, mouth and the ...
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