Masahiro Okuda
Papers
2
Total Citations
8
H-Index
2
About
Masahiro Okuda is a researcher in computer graphics and animation, with a focus on the efficient compression of human motion data. His work addresses the challenge of representing complex 3D movement with minimal data, a critical need for real-time animation, virtual reality, and motion capture applications. Okuda’s major contributions lie in developing novel compression methods that exploit the inherent correlations between joints in a kinematic chain. By applying forward and inverse kinematics principles, his techniques reduce data redundancy while preserving the high precision required for critical joints like end effectors. His 2008 paper, “Compression of Human Motion Animation Using the Reduction of Interjoint Correlation,” and his earlier 2006 work, “Kinematics Based Motion Compression for Human Figure Animation,” are foundational in this area, demonstrating how to intelligently prioritize accuracy for key body parts. Though his citation counts are modest, Okuda’s research provides a practical framework for making motion data more manageable, directly impacting the fields of character animation and human-computer interaction. His work is a valuable resource for students and engineers seeking to optimize motion capture pipelines.
Research Focus
Key Achievements
Top Papers
- 1
- 2Kinematics Based Motion Compression for Human Figure Animation3 citations · 2006