Three-dimensional human face animations editing and synthesis a based on operation transmission and Isomap analysis

Abstract

The invention discloses a method for compiling and compounding 3D face animation based on sport communication and Isomap analysis. Firstly, the method requires a user to choose a control point in the 3D face model and designate the restriction conditions of expression action in a two-dimension plane; the system trains a prior probability model according to the data of face animation, spreads less user restriction to the other parts of face grids so as to generate completed lively face expression; then modeling to 3D face animation knowledge is carried out by Isomap learning algorithm, key frames designated by the user are combined, smooth geodesic on the higher order surfaces is fitted, and new face animation serial is generated automatically. The method of the invention can lead the compiling of face expression to be carried out only in the two-dimension projection space and the compiling of face expression is easier; owing to the restriction of the prior probability model, 3D face expression satisfying the principle of anthropotomy can be obtained, the new face animation serial can be obtained by combining the key frames designated by the user, and the production of face expression animation is simplified.

Description

technical field [0001] The invention relates to the technical field of computer three-dimensional animation, in particular to a method for editing and synthesizing three-dimensional facial animation based on motion propagation and Isomap analysis. Background technique [0002] The earliest work on 3D facial animation technology began in 1972. Subsequent scholars have done a lot of work in order to generate realistic and vivid 3D facial animation. However, due to the complex anatomical structure of the human face, the subtle non-rigid movements are difficult to model mathematically, and at the same time, people's sensitivity to the appearance of the human face makes this topic very difficult. At present, more and more facial animation data collected are beginning to be released, and some progress has been made in the reuse of 3D facial animation data, which can basically be divided into the following categories: [0003] Reuse of 3D face shape: The 3D face shape database is...

AI Technical Summary

Problems solved by technology

[0006] In the field of animation, a common method is to generate in-between frames (In-BetweenFrames) by interpolation, but the animation generated by this method is relatively blunt

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