Adaptive voxels: interactive rendering of massive 3D models |
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Authors: | Fenglin Tian Wei Hua Zilong Dong Hujun Bao |
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Affiliation: | 1. CADCG State Key Lab, ZheJiang University, Hangzhou, China
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Abstract: | We present a novel approach for interactive rendering of massive 3D models. Our approach integrates adaptive sampling-based simplification, visibility culling, out-of-core data management and level-of-detail. We use a unified scene graph representation for acceleration techniques. In preprocessing, we subdivide large objects, and build a BVH clustering hierarchy. We make use of a novel adaptive sampling method to generate LOD models: AdaptiveVoxels. The AdaptiveVoxels reduces the preprocessing cost and our out-of-core rendering algorithm improves rendering efficiency. We have implemented our algorithm on a desktop PC. We can render massive CAD and isosurface models, consisting of hundreds of millions of triangles interactively with little loss in image quality. |
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