Meshless deformations based on shape matching

By Matthias Müller, Bruno Heidelberger, Matthias Teschner, Markus H. Gross. ACM Transactions on Graphics, 2005

693 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/2a15e78ca4a7e0ea48da49ea0894848ba71ef65b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Kun Zhou
2. Baining Guo
3. Y. Yang
4. Tae-Yong Kim
5. Jan Bender
6. Olga Sorkine-Hornung
7. Christian Theobalt
8. Michael Zollhöfer

In Computer Graphics and Computer-Aided Design

1. Kun Zhou
2. Baining Guo
3. Tae-Yong Kim
4. Jan Bender
5. Olga Sorkine-Hornung

In Control and Systems Engineering

1. Kun Zhou
2. Jan Bender

Citations in the corpus

• Position-Based Simulation Methods in Computer Graphics (2015, methodology): “This rigid core is simulated using shape matching [MHTG05] which results in a fast and stable simulation.”
• Boundary-Aware Multidomain Subspace Deformation (2013, background): “Geometry-based shape matching [33], [34] provides an alternative for fast computation of soft 3D volumes.”
• Unified particle physics for real-time applications (2014, methodology): “We represent non-convex rigid bodies using particles, and use rigidshape matching constraints [Müller et al. 2005] to maintain particle configurations.”
• XPBD: position-based simulation of compliant constrained dynamics (2016, critical): “Shape matching [Müller et al. 2005] introduces a geometric constraint for the simulation of deformable objects amenable to PBD, but again, all these methods suffer from a strong dependency of stiffness on iteration count.”