Cartoon generating method for mouth shape of source virtual characters

Abstract

The invention provides a mouth-shape animation generating method used in a source virtual role, which comprises the following steps: (1) a text is received and is split into individual characters, and the individual characters are split into textual phonemes; (2) the phonemes are transformed into corresponding mouth-shape commands according to a phoneme mouth-shape matching set, wherein, initial mouth-shapes and terminative mouth-shapes corresponding to the phonemes are set in the phoneme mouth-shape matching set; (3) the mouth-shapes corresponding to the textual phonemes in the mouth-shape commands are zoomed according to a phoneme duration table, wherein, the phoneme duration table comprises mouth-shape amplitude marks; (4) initial frames and terminative frames which respectively correspond to the initial mouth-shapes and the terminative mouth-shapes corresponding to the textual phonemes are calculated according to the phoneme duration table, and the execution time of the mouth-shape commands is set, wherein, the phoneme duration table comprises the corresponding mouth-shape duration of the phonemes; (5) the mouth-shape commands are executed, and a mouth-shape animation used in the source virtual role is generated. The mouth-shape animation generating method can solve the applicability problem on the aspect of mouth-shape animation copying in a RBF neural network.

Description

technical field [0001] The invention relates to the field of animation production automation, in particular to a method for generating lip animation on a source virtual character. Background technique [0002] The lip animation of virtual characters is an important link in the production of digital animation. Most of the existing methods remain at the level of manual production, which requires a lot of manpower and financial resources. In order to improve the production efficiency and effect of lip animation and expression animation, many research institutions and researchers have made a lot of attempts. However, most of the existing methods are limited to the academic research stage, and there is still a large distance from practicality. [0003] In the prior art, there are mainly two types of related work on the generation of lip animation of virtual characters. One type of method mainly includes: firstly, through video or picture analysis and statistical learning method...

AI Technical Summary

Problems solved by technology

[0006] Although there is no related work on the reproduction of speech lip animation, some scholars use radial basis neural network (also known as RBF function, RBF for short) deformation to realize the replication of virtual character expression

But because when the avatar in the source avatar speaks, the point of its upper lip (or the point of the lower lip) may be copied to the point of the lower lip (or the point of the upper lip) of the target avatar by the RBF neural network, thus The points on the upper and lower lips of the target avatar are confused; so this method cannot be directly used for copying speech lip animations

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