The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A hierarchical approach to interactive motion editing for human-like figures
Abstract
This paper presents a technique for adapting existing motion of a human-like character to have the desired features that are specified by a set of constraints. This problem can be typically formulated as a spacetime constraint problem. Our approach combines a hierarchical curve fitting technique with a new inverse kinematics solver. Using the kinematics solver, we can adjust the configuration of an articulated figure to meet the constraints in each frame. Through the fitting technique, the motion displacement of every joint at each constrained frame is interpolated and thus smoothly propagated to frames. We are able to adaptively add motion details to satisfy the constraints within a specified tolerance by adopting a multilevel B-spline representation which also provides a speedup for the interpolation. The performance of our system is further enhanced by the new inverse kinematics solver. We present a closed-form solution to compute the joint angles of a limb linkage. This analytical method greatly reduces the burden of a numerical optimization to find the solutions for full degrees of freedom of a human-like articulated figure. We demonstrate that the technique can be used for retargetting a motion to compensate for geometric variations caused by both characters and environments. Furthermore, we can also use this technique for directly manipulating a motion clip through a graphical interface.
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Citations
Cites
Retargetting motion to new characters
Gleicher, M. (1998) · Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98 · doi:10.1145/280814.280820 · Cited by 854
Cited by
Kovar, L., Gleicher, M., & Pighin, F. (2008) · ACM SIGGRAPH 2008 classes · doi:10.1145/1401132.1401202 · Cited by 1,052
Chan, C., Ginosar, S., Zhou, T., & Efros, A. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00603 · Cited by 737
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
Li, R., Yang, S., Ross, D. A., & Kanazawa, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01315 · Cited by 553
“Motion graphs [53, 7, 47] address this problem by generating motions in a non-parametric manner.”
BackgroundSkeleton-aware networks for deep motion retargeting
Aberman, K., Li, P., Lischinski, D., Sorkine-Hornung, O., Cohen-Or, D., & Chen, B. (2020) · ACM Transactions on Graphics · doi:10.1145/3386569.3392462 · Cited by 230
Automatic 3D Facial Expression Analysis in Videos
Chang, Y., Vieira, M., Turk, M., & Velho, L. (2005) · Lecture Notes in Computer Science · doi:10.1007/11564386_23 · Cited by 74
Metadata
- Authors
- Lee, J., & Shin, S. Y.
- Venue
- Proceedings of the 26th annual conference on Computer graphics and interactive techniques - SIGGRAPH '99
- Publisher
- ACM Press
- Published
- 1999
- Pages
- 39-48
- OpenAlex
- W2017913224
- Cited by
- 566
- References
- 1
- FWCI
- 62.80
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Lee, J., & Shin, S. Y. (1999). A hierarchical approach to interactive motion editing for human-like figures. Proceedings of the 26th annual conference on Computer graphics and interactive techniques - SIGGRAPH '99. https://doi.org/10.1145/311535.311539
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.