1. The POP Buffer: Rapid Progressive Clustering by Geometry Quantization
- Author
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Max Limper, Yvonne Jung, Marc Alexa, Johannes Behr, and Publica
- Subjects
mesh encoding ,progressive transmission ,Computer science ,Quantization (signal processing) ,vertex clustering ,Software rendering ,Scientific visualization ,Volume rendering ,Parallel computing ,Computer Graphics and Computer-Aided Design ,Graphics pipeline ,Rendering (computer graphics) ,Real-time computer graphics ,Computer graphics ,Vector graphics ,display algorithms ,quantization ,Graphics address remapping table ,General-purpose computing on graphics processing units ,Cluster analysis ,2D computer graphics ,Algorithm ,3D computer graphics ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
Within this paper, we present a novel, straightforward progressive encoding scheme for general triangle soups, which is particularly well-suited for mobile and Web-based environments due to its minimal requirements on the client's hardware and software. Our rapid encoding method uses a hierarchy of quantization to effectively reorder the original primitive data into several nested levels of detail. The resulting stateless buffer can progressively be transferred as-is to the GPU, where clustering is efficiently performed in parallel during rendering. We combine our approach with a crack-free mesh partitioning scheme to obtain a straightforward method for fast streaming and basic view-dependent LOD control.
- Published
- 2013
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