Overview of the FastLSM algorithm

Seminar Paper , 2022 , 14 Pages , Grade: 2.7

Computer Science - Games Engineering

Most algorithms simulating large deformational dynamics are limited in their area of operation. Issues arise with robustness, speed, effciency, and range of motion. This report focuses on the FastLSM algorithmic approach by Rivers et al. which solves these problems by using a geometric approach.
They extended the Lattice Shape Matching algorithm to apply it to different objects, as well as implementing an algorithm to speed it up for simulation.

• College: RWTH Aachen University (Department of Computer Science)
• Course: Pro-Seminar: Selected Topics in Game Physics
• Grade: 2.7
• Author: Julian Waciewski (Author)
• Publication Year: 2022
• Pages: 14
• Catalog Number: V1506318
• ISBN (PDF): 9783389072400
• Language: English
• Tags: deformable physics, game physics, rigid body simulation, fastlsm, shape matching, rigid body, lattice shape matching