MOTION DEFORMATION STYLE CONTROL TECHNIQUE FOR 3D HUMANOID CHARACTER BY USING MOCAP DATA
DOI:
https://doi.org/10.11113/jt.v78.6926Keywords:
Motion deformation, key pose control, 3D humanoid characterAbstract
Realistic humanoid 3D character movement is very important to apply in the computer games, movies, virtual reality and mixed reality environment. This paper presents a technique to deform motion style using Motion Capture (MoCap) data based on computer animation system. By using MoCap data, natural human action style could be deforming. However, the structure hierarchy of humanoid in MoCap Data is very complex. This method allows humanoid character to respond naturally based on user motion input. Unlike existing 3D humanoid character motion editor, our method produces realistic final result and simulates new dynamic humanoid motion style based on simple user interface control.
References
Ismail, I. and Sunar M. S. 2015. Editing Virtual Human Motion Techniques With Dynamic Motion Simulator And Controller. Jurnal Teknologi (Science & Engineering). 75(4): 27-33.
Hu, Y., Wu, S., Xia, S., Fu, J., and Chen, W. 2010. Motion Track: Visualizing Variations Of Human Motion Data. Pacific Visualization Symposium (PacificVis), 2010 IEEE Pacific. Taipei, Taiwan. 2-5 March 2010. 153-160.
Kenwright, B., Davison, R. and Morgan, G. 2011. Dynamic Balancing And Walking For Real-Time 3d Characters. Proceedings of the 4th international conference on Motion in Games. 63-73.
Shapiro, A., Faloutsos, P., and Hing V. N. T. 2005. Dynamic Animation and Control Environment. Proceedings of Graphics Interface, 2005. 61-70.
Saphiro, A., Chu, D., Allen, B. and Faloutsos, P. 2007. A dynamic controller toolkit. Proceedings of the ACM SIGGRAPH symposium on Video games, 2007. 15-20.
Wrotek, P., Jenkins, O. C., and Guire, M. 2006. Dynamo: Dynamic, Data-Driven Character Control With Adjustable Balance. ACM SIGGRAPH symposium on Videogames. 61-70.
Zordan, V. B., Majkowska, A. and Chiu, B. 2005. Dynamic Response For Motion Capture Animation. ACM Transactions on Graphics (TOG). 24(3): 697-701.
Abe, Y. and Popović, J. 2006. Interactive Animation Of Dynamic Manipulation. Eurographics Symposium On Computer Animation. 195-204.
Allen, B., Chu, D., Saphiro, A. and Faloutsos, P. 2007. On the Beat!: Timing And Tension For Dynamic Characters. Eurographics symposium on Computer animation. 239-247.
Muico, U., Lee, Y., Popović, J. and Popović Z. 2009. Contact-Aware Nonlinear Control Of Dynamic Characters. ACM Transactions on Graphics (TOG). 28(3): 1-9.
Cavazza M., Earnshaw, R., Thalmann, N. M. and Thalmann, D. 1998. Motion Control of Virtual Humans. IEEE Computer Graphics and Applications. 18(5): 24-31.
Moeslund, T. B., Hilton, A. and Krüger, V. 2006. A Survey Of Advances In Vision-Based Human Motion Capture And Analysis. Computer Vision and Image Understanding. 104(2): 90-126.
Oshita, M. 2006. Motion-capture-based Avatar Control Framework In Third-Person View Virtual Environments. Proceedings of the 2006 ACM SIGCHI International Conference On Advances In Computer Entertainment Technology. 1-9.
Shilei, L., et al. 2009. A Survey of Dynamic Motion Generation and Control for Virtual Characters. Computational Intelligence and Software Engineering. 1-5.
Ismail, I., Kolivand, H., Sunar, MS. and Basori AH. 2013. An Overview on Dynamic 3D Character Motion Techniques in Virtual Environments. Life Science Journal. 10(4): 1-9.
Popovic, Z., and Witkin, A. 1999. Physically Based Motion Transformation. Proceeding of the 1999 SIGGRAPH. 11-20.
Geijtenbeek, T. and Pronost, N. 2012. Interactive Character Animation Using Simulated Physics: A State-of-the-Art Review. Computer Graphics Forum. 31(8): 2492-2515.
Safona, A., Hodgins, J. K., and Pollard, N. S. 2004. Synthesizing Physically Realistic Human Motion in Low Dimensional, Behaviour- Specific Spaces. ACM Transactions on Graphics (TOG). 23(3): 514-221.
Szczuko, P., Kostek, B., and Czyżewski, A. 2009. New Method For Personalization Of Avatar Animation. Man-Machine Interactions. 435-443.
Choi, W., Ono, T., and Hachimura, K. 2009. Body Motion Analysis for Similarity Retrieval of Motion Data and Its Evaluation. Intelligent Information Hiding and Multimedia Signal Processing. 1177-1180.
Ho, E. S., Komura, T., and Tai, C. L. 2010. Spatial Relationship Preserving Character Motion Adaptation. ACM Transactions on Graphics (TOG). 29(4): 1-8.
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