Existing motion data-based realistic motion transfer and generation method and system

Abstract

The invention provides an existing motion data-based realistic motion transfer and generation method and system. The method includes the following specific steps that: a data glove is adopted to clearly and continuously shoot the motions of a measured object; a target transfer model is built; a skeleton sequence is reconstructed by means of inverse kinematics method; skeleton size is transferred by means of a forward kinematics method; skinning and drawing weighting operation is performed on a target skeleton and the target model; the real value of the three-dimensional position of the skeleton is calculated; realistic material texture is drawn on the model; and rendering is carried out, and a result is outputted. The method and system of the invention have the advantages of high automation degree, high precision, simple process and easiness in operation. With the method and system of the invention adopted, a lossless skeleton sequence can be obtained, and professional or popular motion transfer requirements can be satisfied.

Description

technical field [0001] The invention belongs to the intersecting field of image processing and three-dimensional computer animation, and in particular relates to a realistic motion migration and generation method and system using existing motion skeleton data. Background technique [0002] The traditional method of motion generation is generally to use 3D modeling animation software, such as Maya, 3DMax, Blender, through the steps of creating skeleton, creating model, binding skin, drawing skin weight coefficient, setting key frame, smoothing key frame and so on. generation. In the context of the migration action, if the time series is long and the number of key frames is large, the steps of the migration action will be time-consuming and laborious, and cannot be completely consistent with the existing actions, resulting in certain errors and affecting the accuracy effect. [0003] Skinning is a working step in processing a character model. It associates the original model ...

AI Technical Summary

Problems solved by technology

Although the stability, operating efficiency, and application flexibility of motion capture technology have been improved to a certain extent, complex capture instruments and complex capture processes often lead to high costs, and matching complex application scenarios lead to greater errors. However, the motion migration and generation method based on the existing motion data can significantly save manpower and financial resources, and significantly improve the accuracy, which has extensive research and application value

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