This thesis describes methods for collision detection and collision response, implemented in a complete collision framework for both rigid and deformable bodies. The framework is intended to act as a base for new technologies regarding muscle and facial simulation for feature film production, at the visual effects studio MPC. Specifically, we implement sweep and prune as a first step in our collision detection for fast pruning of pairs, followed by optimized spatial hashing to decrease the amount of triangle intersection tests. Further, we use a constraint-based method for collision response based on iterative constraint anticipation, which provides several advantages in terms of accuracy compared to penalty- or impulse-based methods.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-133216 |
| Date | January 2016 |
| Creators | Haapaoja, Rasmus |
| Publisher | Linköpings universitet, Medie- och Informationsteknik, Linköpings universitet, Tekniska högskolan |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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