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

Peng, Chao; Cao, Yong

doi:10.1145/2448196.2448235

Cited by 3 publications

(2 citation statements)

References 14 publications

(19 reference statements)

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“…Their GPU out‐of‐core system was able to render the Boeing 777 model at 20 FPS (Figure ). While ours focus on the optimization of out‐of‐core efficiency on a single GPU, our occlusion culling and LOD integration concept are similar to that of Peng . Peng employed a conservative culling in screen space, while we employed a more efficient approximate culling by sampling coarser LOD geometry on GPU.…”

Section: Implementation and Resultsmentioning

confidence: 99%

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.

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Section: Implementation and Resultsmentioning

confidence: 99%

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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“…Unlike the previous works which apply LOD and culling separately, there is research to combine two schemes. As good example, C. Peng and Y. Cao [10]propose how to integrate LOD parallel processing based on GPU and occlusion culling. In the proposed scheme, two steps are taken for efficient rendering.…”

Section: Lod and Cullingmentioning

confidence: 99%

Level of detail parent and dynamic culling scheme for flight simulator

Lee¹,

Kim²,

Kim³

2018

IJET

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Background/Objectives: Due to huge volume of data, it is required to reduce the number of vertices in flight simulator through level of detail and culling. However, it is required to integrate them accordingly.Methods/Statistical analysis: Due to high point of view, terrain data in wide area are usually rendered in the flight simulator. So, conservational level of detail and culling schemes have adaptation problem in flight simulator. To defeat this problem, dynamic culling scheme and level of detail parent method based on line of sight are proposed.Findings: Experiment scenarios are built to measure and compare the frame per second and number of vertices in four separate schemes, that is, scheme without the proposed algorithm, applying view frustum culling and applying culling and level of detail together and graphic processing unit based parallel processing algorithm, respectively. The proposed scheme reveals the similar values in the case of small-volume of terrain data. On the other hand, frame per second is significantly improved in huge volume of terrain data by reducing the number of vertices through dynamic culling and level of detail parent method. Specially, when level of detail parent method is applied to rendering the city with large number of buildings, the proposed scheme reveals the best frame per second among the comparative schemes.Improvements/Applications: Improved rendering algorithm was proposed to handle huge volume of terrain data and thereby to prove the applicability of the proposed scheme in other simulator.

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Efficient Rendering of Large-Scale CAD Models on a GPU Virtualization Architecture with Model Geometry Metrics

Xue¹,

Zhai

2019

2019 IEEE International Conference on Service-Oriented System Engineering (SOSE)

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

Cited by 3 publications

References 14 publications

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

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

Level of detail parent and dynamic culling scheme for flight simulator

Efficient Rendering of Large-Scale CAD Models on a GPU Virtualization Architecture with Model Geometry Metrics

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