Research on the simplification of building complex model under multi-factor constraints

Haoyuan Bai; Kelong Yang; Shunhua Liao

doi:10.1117/12.3014388

9 January 2024 Research on the simplification of building complex model under multi-factor constraints

Haoyuan Bai, Kelong Yang, Shunhua Liao

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129691G (2024) https://doi.org/10.1117/12.3014388
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

With the wide application of 3D building cluster models in urban planning, visualization and other fields, how to improve the rendering efficiency and reduce the computational cost of building cluster models has become an important issue. To address this problem, this paper proposes a visual perception evaluation model used to assess the weights of buildings based on multi-factor considerations to determine the order of building simplification, and weights the vertex importance for the classical QEM algorithm to redefine the collapsing cost of the edges, which achieves the purpose of reducing the complexity of the model while maintaining the visual quality. Experimental results show that the algorithm can significantly reduce the model rendering time and computational cost while maintaining the visual quality.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haoyuan Bai, Kelong Yang, and Shunhua Liao "Research on the simplification of building complex model under multi-factor constraints", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129691G (9 January 2024); https://doi.org/10.1117/12.3014388

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