Meshless deformations based on shape matching
Citations Over TimeTop 1% of 2005 papers
Abstract
We present a new approach for simulating deformable objects. The underlying model is geometrically motivated. It handles pointbased objects and does not need connectivity information. The approach does not require any pre-processing, is simple to compute, and provides unconditionally stable dynamic simulations.The main idea of our deformable model is to replace energies by geometric constraints and forces by distances of current positions to goal positions. These goal positions are determined via a generalized shape matching of an undeformed rest state with the current deformed state of the point cloud. Since points are always drawn towards well-defined locations, the overshooting problem of explicit integration schemes is eliminated. The versatility of the approach in terms of object representations that can be handled, the efficiency in terms of memory and computational complexity, and the unconditional stability of the dynamic simulation make the approach particularly interesting for games.
Related Papers
- → Denoising of 3D Point Clouds Constructed from Light Fields(2019)10 cited
- → Construction of 3D Environment Models by Fusing Ground and Aerial Lidar Point Cloud Data(2015)3 cited
- → Constructing a Mesh Model of the Construction for Finite Element Method (FEM) Simulation from the Point Cloud Data Collected by Terrestrial Laser Scanning (TLS)(2023)1 cited
- → Plane Loop Closure Based Point Cloud Registration Using Structured Light Sensor(2019)1 cited
- Based on Laser Point Clouds Data of Complex Plant Leaves Reconstruction Method(2014)