Open AccessA Virtual Modeling Method of Digital Media Image Synchronization Based on Motion Hybrid Algorithm
Author(s) -
Yong Yang,
Zhiping Wang,
Chao Yang,
Huijun Zhu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1982/1/012178
Subject(s) - computer science , animation , motion (physics) , motion capture , synchronization (alternating current) , computer vision , computer animation , virtual reality , artificial intelligence , virtual actor , motion control , computer graphics (images) , algorithm , computer network , channel (broadcasting) , robot
In virtual reality digital media, motion capture system is used to build basic motion library. Then the basic motion is processed by motion editing technology. Motion blending is one of the most practical and complex editing techniques. This paper proposes a real-time synchronization algorithm based on motion blending, so as to better mix motion dynamically, avoid unexpected effects, and create complex virtual digital media animation. This paper adopts the strategy of data and model hybrid drive. The motion generation and control technology of virtual human is studied from the following aspects: Modeling and simulation method of motion system, grasping of virtual human considering the change of whole body posture, fast generation of operation action, automatic interactive generation of virtual human’s key frame posture, multi priority editing synthesis and interactive control of virtual human’s whole body motion. In this paper, the corresponding control strategy and model are proposed, and the traditional algorithm is improved. Experimental results show that the method improves the efficiency and accuracy of digital media generation. This method provides a reference for the research of digital media image synchronous virtual modeling method based on motion hybrid algorithm.