A GPU-based Approach for Massive Model Rendering with Frame-to-Frame Coherence

Rendering massive 3D models in real‐time has long been recognized as a very challenging problem because of the limited computational power and memory space available in a workstation. Most existing rendering techniques, especially level of detail (LOD) processing, have suffered from their sequential...

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Bibliographic Details
Published in:Computer graphics forum Vol. 31; no. 2pt2; pp. 393 - 402
Main Authors: Peng, Chao, Cao, Yong
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.05.2012
Subjects:
Algorithms
Computer based modeling
Computer science
Graphics boards
I.3.3 [Computer Graphics]: Picture/Image Generation-Viewing algorithms
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Geometric algorithms
Studies
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:Rendering massive 3D models in real‐time has long been recognized as a very challenging problem because of the limited computational power and memory space available in a workstation. Most existing rendering techniques, especially level of detail (LOD) processing, have suffered from their sequential execution natures. We present a GPU‐based approach which enables interactive rendering of large 3D models with hundreds of millions of triangles. Our work contributes to the massive rendering research in two ways. First, we present a simple and efficient mesh simplification algorithm towards GPU architecture. Second, we propose a novel GPU out‐of‐core approach that adopts a frame‐to‐frame coherence scheme in order to minimize the high communication cost between CPU and GPU. Our results show that the parallel algorithm of mesh simplification and the GPU out‐of‐core approach significantly improve the overall rendering performance.
Bibliography:ArticleID:CGF3018
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2012.03018.x