Medial ElasticsElastics: Efficient and Collision-Ready Deformation via Medial Axis Transform
Artikel i vetenskaplig tidskrift, 2020

We propose a framework for the interactive simulation of nonlinear deformable objects. The primary feature of our system is the seamless integration of deformable simulation and collision culling, which are often independently handled in existing animation systems. The bridge connecting them is the medial axis transform (MAT), a high-fidelity volumetric approximation of complex 3D shapes. From the physics simulation perspective, MAT leads to an expressive and compact reduced nonlinear model. We employ a semireduced projective dynamics formulation, which well captures high-frequency local deformations of high-resolution models while retaining a low computation cost. Our key observation is that the most compelling (nonlinear) deformable effects are enabled by the local constraints projection, which should not be aggressively reduced, and only apply model reduction at the global stage. From the collision detection (CD)/collision culling (CC) perspective, MAT is geometrically versatile using linear-interpolated spheres (i.e., the so-called medial primitives (MPs)) to approximate the boundary of the input model. The intersection test between two MPs is formulated as a quadratically constrained quadratic program problem. We give an algorithm to solve this problem exactly, which returns the deepest penetration between a pair of intersecting MPs. When coupled with spatial hashing, collision (including self-collision) can be efficiently identified on the GPU within a few milliseconds even for massive simulations. We have tested our system on a variety of geometrically complex and high-resolution deformable objects, and our system produces convincing animations with all of the collisions/self-collisions well handled at an interactive rate.

GPU

deformable model

collision culling

soft tissue

Medial axis

Haptic rendering

deformable objects

Författare

Lei Lan

Xiamen University

Ran Luo

University of New Mexico

Marco Fratarcangeli

Chalmers, Data- och informationsteknik, Interaktionsdesign (Chalmers)

Weiwei Xu

Zhejiang University

Huamin Wang

Ohio State University

Xiaohu Guo

University of Texas at Dallas

Junfeng Yao

Xiamen University

Yin Yang

Clemson University

University of New Mexico

ACM Transactions on Graphics

0730-0301 (ISSN)

Vol. 39 3 20

Ämneskategorier

Beräkningsmatematik

Reglerteknik

Datavetenskap (datalogi)

DOI

10.1145/3384515

Mer information

Senast uppdaterat

2020-08-07