Method for directly and automatically generating animation from static human body model

Abstract

The invention puts forward a method for directly and automatically generating an animation from a static human body model. The method comprises the following steps that: (1) firstly, automatically extracting and identifying five feature points independently positioned on the tail ends of the limbs of the human body and the top of the head, and taking the feature points as starting points to calculate the center line of the equal geodesic of the model; (2) on the center line, according to human body metrology knowledge, determining the approximate positions of articulation points; (3) accordingto human body bond rigid movement characteristics and bone information provided by a movement data file, carrying out the accurate positioning of articulation points; and (4) through a thermodynamicdiffusion equation, calculating vortex weight, finally, adopting a local coordinate frame alignment method for the extracted bone to realize movement data matching, and taking the movement data to drive skin to generate a human body animation. An experiment result indicates that the method does not need manual participation, and the method has the characteristics of being irrelevant to a model gesture, fully automatic, good in animation effect and the like.

Description

technical field [0001] The invention belongs to the field of directly and automatically generating animation from a static human body model. Background technique [0002] Computer-generated human body animation has been widely used in games, film and television advertisements, virtual reality and other fields. Among them, skeletal animation is the most commonly used, which generates animation through bone-driven skin deformation. It has the advantages of small data volume, simple calculation, and easy hardware acceleration. Etc. At present, the surface model of the human body and the data of human motion can be obtained very conveniently with the help of a three-dimensional scanner and a motion capture device respectively. However, the bone modeling, binding, and weight setting need to be implemented manually by specially trained personnel, which is very time-consuming and cumbersome; in addition, the current bone extraction algorithms are either limited to standard poses, ...

AI Technical Summary

Problems solved by technology

However, the bone modeling, binding, and weight setting need to be implemented manually by specially trained personnel, which is very time-consuming and cumbersome; in addition, the current bone extraction algorithms are either limited to standard poses, or the extracted joint points are not accurate enough to meet the needs of animation