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Fast quasi-harmonic weights for geometric data interpolation

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sword-2022-07-20T15:51:16.original.xml (130 B)
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Author(s)
Wang, Yu
•
Solomon, Justin
Date Issued
2021
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Wang, Yu and Solomon, Justin. 2021. "Fast quasi-harmonic weights for geometric data interpolation." ACM Transactions on Graphics, 40 (4).
Version
Final published version
Abstract
We propose quasi-harmonic weights for interpolating geometric data, which are orders of magnitude faster to compute than state-of-the-art. Currently, interpolation (or, skinning) weights are obtained by solving large-scale constrained optimization problems with explicit constraints to suppress oscillative patterns, yielding smooth weights only after a substantial amount of computation time. As an alternative, our weights are obtained as minima of an unconstrained problem that can be optimized quickly using straightforward numerical techniques. We consider weights that can be obtained as solutions to a parameterized family of second-order elliptic partial differential equations. By leveraging the maximum principle and careful parameterization, we pose weight computation as an inverse problem of recovering optimal anisotropic diffusivity tensors. In addition, we provide a customized ADAM solver that significantly reduces the number of gradient steps; our solver only requires inverting tens of linear systems that share the same sparsity pattern. Overall, our approach achieves orders of magnitude acceleration compared to previous methods, allowing weight computation in near real-time.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution 4.0 International license
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/143890
DOI of Published Version
https://doi.org/10.1145/3450626.3459801
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