Motion Capture Animation Generation via Real Feature Data Transfer
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Solution Overview
Problem
Conventional animation production methods are limited by drawing efficiency and quality, and virtual production animation requires enhanced technical solutions to improve production efficiency and ensure high-quality animation outcomes.
Innovation Solution
An animation generation method that acquires real feature data from a real object, converts it into target feature data for a virtual character, and generates animation using this data, along with reference data, to create realistic and vivid skeletal actions and facial expressions, thereby bypassing manual drawing and enhancing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional animation production methods are used, then manual drawing can create animations, but the production efficiency is limited and the timetable cannot be condensed
Solution Approach 1:
The patent uses motion capture technology to record the actual movements, facial expressions, and performance data of real actors, then copies this data directly to drive virtual characters in the animation. This eliminates the need for manual frame-by-frame drawing while preserving the quality of human performance, thereby dramatically improving production efficiency and reducing timelines
Solution Approach 2:
The patent replaces the mechanical manual drawing process with an automated data-driven system. Motion capture sensors and facial expression recognition systems automatically collect performance data, which is then processed by computer algorithms to generate animation, substituting the manual mechanical drawing workflow with an automated technological system
2Productivity
If virtual production animation is used, then production efficiency can be improved, but the technical requirements are greatly increased
Solution Approach 1:
The patent employs a unified motion capture system that simultaneously captures multiple types of data including body movements, facial expressions, voice recordings, and camera positioning information. This multi-functional system handles various animation requirements through a single integrated technical platform, improving efficiency without proportionally increasing complexity
Solution Approach 2:
The patent introduces a virtual character model as an intermediary between the captured real-world performance data and the final animation output. This intermediary serves as a bridge that translates complex captured data into usable animation elements, simplifying the overall technical workflow while maintaining high production standards
Data Source
AI summary
Provided are an animation generation method, apparatus, and system and a storage medium, relating to the field of animation technology. The method includes acquiring the real feature data of a real object, where the real feature data includes the action data and the face data of the real object during a performance process; determining the target feature data of a virtual character according to the real feature data, where the virtual character is a preset animation model, and the target feature data includes the action data and the face data of the virtual character; and generating the animation of the virtual character according to the target feature data. The performance of the real object is used for generating the animation of the virtual character.