Transcription of Mesh Simplification - Stanford University
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Mesh Simplification - Stanford University
mesh Simplification Applications Oversampled 3D scan data ~150k triangles ~80k triangles 2. Applications Overtessellation: E. g iso iso-surface surface extraction 3. Applications Multi-resolution Multi resolution hierarchies for efficient geometry processing level-of-detail (LOD) rendering 4. Applications Adaptation to hardware capabilities 5. Size-Quality Size Quality Tradeoff error size 6. Problem Statement Given: Find: such that 1. and is minimal, or 2. and is minimal Respect additional fairness criteria normal deviation, triangle shape, scalar attributes, etc.
– Changes mesh topology – Need spatial neighborhood information – Generates non-manifold meshes manifold non-manifold 61. Comparison • Vertex clusteringVertex clustering – fast, but difficult to control simplified mesh – topology changes, non-manifold meshes
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