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An interactive display system for large-scale 3D models
Author(s): Zijian Liu; Kun Sun; Wenbing Tao; Liman Liu
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Paper Abstract

With the improvement of 3D reconstruction theory and the rapid development of computer hardware technology, the reconstructed 3D models are enlarging in scale and increasing in complexity. Models with tens of thousands of 3D points or triangular meshes are common in practical applications. Due to storage and computing power limitation, it is difficult to achieve real-time display and interaction with large scale 3D models for some common 3D display software, such as MeshLab. In this paper, we propose a display system for large-scale 3D scene models. We construct the LOD (Levels of Detail) model of the reconstructed 3D scene in advance, and then use an out-of-core view-dependent multi-resolution rendering scheme to realize the real-time display of the large-scale 3D model. With the proposed method, our display system is able to render in real time while roaming in the reconstructed scene and 3D camera poses can also be displayed. Furthermore, the memory consumption can be significantly decreased via internal and external memory exchange mechanism, so that it is possible to display a large scale reconstructed scene with over millions of 3D points or triangular meshes in a regular PC with only 4GB RAM.

Paper Details

Date Published: 10 April 2018
PDF: 6 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153A (10 April 2018); doi: 10.1117/12.2302630
Show Author Affiliations
Zijian Liu, Huazhong Univ. of Science and Technology (China)
Kun Sun, Huazhong Univ. of Science and Technology (China)
Wenbing Tao, Huazhong Univ. of Science and Technology (China)
Hubei Key Lab. of Medical Information Analysis and Tumor Diagnosis and Treatment (China)
Liman Liu, Hubei Key Lab. of Medical Information Analysis and Tumor Diagnosis and Treatment (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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