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3D human motion editing and synthesis: a survey.
Xin Wang1, Qiudi Chen1, Wanliang Wang1
1College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China ; Key Laboratory of Visual Media Intelligent Process Technology of Zhejiang Province, Hangzhou 310023, China.
This survey reviews 3D human motion editing and synthesis techniques, comparing four synthesis methods. It covers motion capture data, editing, and synthesis, suggesting future research directions for biomechanical analysis.
Area of Science:
- Biomechanics
- Computer Graphics
- Human Motion Analysis
Background:
- Computing human body kinematics and dynamics is crucial in biomedical research.
- Existing literature offers various approaches to 3D human motion analysis.
Purpose of the Study:
- To provide a comprehensive survey of 3D human motion editing and synthesis techniques.
- To compare different methods for 3D human motion synthesis.
Main Methods:
- Reviewing four primary categories of 3D human motion synthesis methods.
- Examining techniques for motion capture data representation.
- Analyzing existing motion editing methodologies.
- Synthesizing and evaluating motion synthesis approaches.
Main Results:
- Categorization and comparison of four distinct 3D human motion synthesis techniques.
- Overview of motion capture data representation methods.
- Summary of current motion editing capabilities.
- Consolidated review of motion synthesis advancements.
Conclusions:
- Identified key areas and methodologies in 3D human motion editing and synthesis.
- Highlighted the importance of data representation and editing for synthesis.
- Suggested avenues for future research in human motion analysis and generation.
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