Occlusion culling algorithm for rendering complex building scene based on the normal line grouping

Yeting Zhang; Qing Zhu; Dongbo Zhou

doi:10.1117/12.712920

28 October 2006 Occlusion culling algorithm for rendering complex building scene based on the normal line grouping

Yeting Zhang, Qing Zhu, Dongbo Zhou

Proceedings Volume 6420, Geoinformatics 2006: Geospatial Information Science; 64200Y (2006) https://doi.org/10.1117/12.712920
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

Rendering complex building scene like ancient architecture heritage is always a difficult work since there is very high occlusion ratio. According to the architectural structure and the data organization strategy of 3D ChiLin models, a new occlusion culling algorithm is proposed, which is based on the normal line grouping of the models concerned with the building features. By integrating with other accelerate methods such as frustum culling, detail culling, LOD and classifying rendering, this algorithm can improve the rendering speed efficiently.

Citation Download Citation

Yeting Zhang, Qing Zhu, and Dongbo Zhou "Occlusion culling algorithm for rendering complex building scene based on the normal line grouping", Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 64200Y (28 October 2006); https://doi.org/10.1117/12.712920

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