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

Peng, Chao; Cao, Yong

doi:10.1111/j.1467-8659.2012.03018.x

Cited by 24 publications

(26 citation statements)

References 14 publications

(17 reference statements)

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“…Other proposals to visualize very large models have been made, including [BSGM02,BGBL05] and [PC12], for example, but like the schemes above, they cannot distinguish the different objects that make up the scene. Moreover, we observe that Funkhouser's paper (which was focused on moderately large scenes) contained some key ideas that have not been used, nor adapted to scene trees.…”

Section: Previous Workmentioning

confidence: 99%

Interactive inspection of complex multi-object industrial assemblies

Argudo¹,

Besora²,

Brunet³

et al. 2016

Computer-Aided Design

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The use of virtual prototypes and digital models containing thousands of individual objects is commonplace in complex industrial applications like the cooperative design of huge ships. Designers are interested in selecting and editing specific sets of objects during the interactive inspection sessions. This is however not supported by standard visualization systems for huge models. In this paper we discuss in detail the concept of rendering front in multiresolution trees, their properties and the algorithms that construct the hierarchy and efficiently render it, applied to very complex CAD models, so that the model structure and the identities of objects are preserved. We also propose an algorithm for the interactive inspection of huge models which uses a rendering budget and supports selection of individual objects and sets of objects, displacement of the selected objects and real-time collision detection during these displacements. Our solution -based on the analysis of several existing view-dependent visualization schemes-uses a Hybrid Multiresolution Tree that mixes layers of exact geometry, simplified models and impostors, together with a time-critical, view-dependent algorithm and a Constrained Front. The algorithm has been successfully tested in real industrial environments; the models involved are presented and discussed in the paper.

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Section: Previous Workmentioning

confidence: 99%

Interactive inspection of complex multi-object industrial assemblies

Argudo¹,

Besora²,

Brunet³

et al. 2016

Computer-Aided Design

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“…[Derzapf et al 2010] encoded the dependency information of Progressive Meshes into a GPU-friendly compact data structure. [Peng and Cao 2012] eliminated the dependency by simply using an array structure and supported triangle-level parallelism. They also claimed that the limited GPU memory is an important issue for simplification, so that they integrated their parallel simplification method and GPU out-of-core to render large and complex models.…”

Section: Mesh Simplificationmentioning

confidence: 99%

“…However, the major limitation of a hierarchical representation is that inter-dependency is introduced between levels of the hierarchy, which would not be suitable for data parallel computing. Most recently, [Peng and Cao 2012] built dependency-free data representations that allow triangle-level parallelism to generate LOD models on GPU. Our simplification method is extended from Peng and Cao's work, and we would like to give more details of their work in the rest of this section.…”

Section: State-of-art In Parallel Mesh Simplificationmentioning

confidence: 99%

“…Our streaming method is based on the coherence-based GPU Outof-Core presented in [Peng and Cao 2012]. We conduct two phases of streaming: streaming the AOS and streaming the PVS.…”

Section: Gpu Out-of-core For Data Streamingmentioning

confidence: 99%

“…Thus, we gain the advantages of using GPUs in terms of the performance of processing triangles. We also compare the run-time performance of our approach to the approach of [Peng and Cao 2012]. We set the value of N and the camera movements to be the same in both of the approaches.…”

Section: Run-time Performancementioning

confidence: 99%

See 2 more Smart Citations

Integrating occlusion culling with parallel LOD for rendering complex 3D environments on GPU

Peng

Cao

2013

Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games

Self Cite

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Real-time rendering of complex 3D models is still a very challenging task. Recently, many GPU-based level-of-detail (LOD) algorithms have been proposed to decrease the complexity of 3D models in a parallel fashion. However, LOD approaches alone are not sufficient to reduce the amount of geometry data for interactive rendering of massive scale models. Visibility-based culling, especially occlusion culling, has to be introduced to the rendering pipeline for large models. In this paper, we aim to tackle the challenge of integrated parallel processing for both mesh simplification and occlusion culling. We present a novel rendering approach that seamlessly integrates parallel LOD algorithm, parallel occlusion culling and Out-of-Core method in a unified scheme towards GPU architectures. The result shows the parallel occlusion culling significantly reduces the required complexity of the 3D model and increases the rendering performance.

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An efficient GPU out‐of‐core framework for interactive rendering of large‐scale CAD models

Xue

Zhao

Xiao

2016

Computer Animation & Virtual

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Real‐time rendering of large‐scale engineering computer‐aided design (CAD) models has been recognized as a challenging task. Because of the constraints of limited graphics processing unit (GPU) memory size and computation capacity, a massive model with hundreds of millions of triangles cannot be loaded and rendered in real‐time using most of modern GPUs. In this paper, an efficient GPU out‐of‐core framework is proposed for interactively visualizing large‐scale CAD models. To improve efficiency of data fetching from CPU host memory to GPU device memory, a parallel offline geometry compression scheme is introduced to minimize the storage cost of each primitive by compressing the levels of detail (LOD) geometries into a highly compact format. At the rendering stage, occlusion culling and LOD processing algorithms are integrated and implemented with an efficient GPU‐based approach to determine a minimal scale of primitives to be transferred for each frame. A prototype software system is developed to preprocess and render massive CAD models with the proposed framework. Experimental results show that users can walkthrough massive CAD models with hundreds of millions of triangles at high frame rates using our framework. Copyright © 2016 John Wiley & Sons, Ltd.

show abstract

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

Cited by 24 publications

References 14 publications

Interactive inspection of complex multi-object industrial assemblies

Interactive inspection of complex multi-object industrial assemblies

Integrating occlusion culling with parallel LOD for rendering complex 3D environments on GPU

An efficient GPU out‐of‐core framework for interactive rendering of large‐scale CAD models

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