Collision Detection for Deformable Objects

TLDR

Interactive environments for dynamically deforming objects are crucial in surgery simulation and entertainment, requiring fast deformable models and efficient collision handling, yet collision detection for deformable objects remains more challenging than for rigid bodies. The paper reviews recent research on deformable collision detection. The review discusses bounding‑volume hierarchies, distance fields, spatial partitioning, image‑space techniques, and stochastic methods for deformable collision detection. The survey highlights applications in cloth modeling and surgical simulation.

Abstract

Abstract Interactive environments for dynamically deforming objects play an important role in surgery simulation and entertainment technology. These environments require fast deformable models and very efficient collision handling techniques. While collision detection for rigid bodies is well investigated, collision detection for deformable objects introduces additional challenging problems. This paper focuses on these aspects and summarizes recent research in the area of deformable collision detection. Various approaches based on bounding volume hierarchies, distance fields and spatial partitioning are discussed. In addition, image‐space techniques and stochastic methods are considered. Applications in cloth modeling and surgical simulation are presented.