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2 December 2022 Loading oblique photography model based on image complexity
Kuanxian Long, Zhanrong Li
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Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 1228802 (2022) https://doi.org/10.1117/12.2640984
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China
Abstract
To solve the problem of low rendering speed by drawing meaningless vertices when loading oblique photography model, a loading method based on image complexity is proposed. This method improves the nodal evaluation system in the traditional quadtree LOD loading method, and uses the image complexity of model node as the reference factor of the nodal evaluation system. The results show that compared with the traditional loading method which depends on the distance between viewpoint and model node, this method can improve the rendering efficiency and optimize the virtual roaming experience while maintaining the fidelity of the oblique photography model.
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Kuanxian Long and Zhanrong Li "Loading oblique photography model based on image complexity", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 1228802 (2 December 2022); https://doi.org/10.1117/12.2640984
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KEYWORDS
Photography
3D modeling
3D image reconstruction
Statistical analysis
Unmanned aerial vehicles
Visualization
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