Research on volume calculation method based on improved point cloud slicing

Yuting Zheng; Yifan Yang; Pulin Li; Jiahong Chen

doi:10.1117/12.2637612

13 May 2022 Research on volume calculation method based on improved point cloud slicing

Yuting Zheng, Yifan Yang, Pulin Li, Jiahong Chen

Proceedings Volume 12248, Second International Conference on Sensors and Information Technology (ICSI 2022); 122480X (2022) https://doi.org/10.1117/12.2637612
Event: 2nd International Conference on Sensors and Information Technology (ICSI 2022), 2022, Nanjing, China

Abstract

In order to solve the problem of the low efficiency of the traditional slicing method in measuring the volume of objects with continuously changing surfaces, a volume calculation method based on improved point cloud slicing is proposed in this paper. This method uses the product of the absolute value of the difference between the areas of adjacent slices and the corresponding spacing of adjacent slices to represent the magnitude of the object's surface variation, adjusts the spacing of slices according to the magnitude of the variation, calculates the area of each slice using the proposed Monte Carlo method, and finally uses the idea of integration to find the volume of the target object. The experimental results show that the improved point cloud slicing method can improve the calculation accuracy of the traditional slicing method without increasing the number of slices, and can better solve the volume calculation problem of objects with continuous surface changes, which has good application value.

Citation Download Citation

Yuting Zheng, Yifan Yang, Pulin Li, and Jiahong Chen "Research on volume calculation method based on improved point cloud slicing", Proc. SPIE 12248, Second International Conference on Sensors and Information Technology (ICSI 2022), 122480X (13 May 2022); https://doi.org/10.1117/12.2637612

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KEYWORDS

Clouds

Data conversion

Monte Carlo methods

Optical spheres

3D scanning

Computer simulations

Algorithm development

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