3D Simulation Landscape Design Based on Image Sensor

J. Sensors Pub Date : 2022-08-18 DOI:10.1155/2022/1577945
Yao Lu, Bingyan Chen, Yan Xing, Yang Geon Seok
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Abstract

In order to solve the problem of heavy workload of landscape plant modeling, the lack of efficient auxiliary or automatic methods for establishing three-dimensional models for various landscape plants, and the general three-dimensional models of landscape plants which cannot reflect the natural growth of plants and the interaction between the environment, this paper proposes a method of three-dimensional simulation of landscape design based on image sensors. This method includes the construction of three-dimensional image simulation landscape feature analysis function and rationality judgment model, so as to provide theoretical support for landscape design. The experimental results show that the matching number and matching rate of landscape feature points obtained by the traditional deep evaluation method are lower than those obtained by the 3D image simulation method used in this paper, and the steps of image feature points matching are relatively simple. With the gradual expansion of the scope, the accuracy of the three-dimensional image simulation judgment method used in this paper is gradually improved, up to 89%, while the traditional method is always maintained at about 40%. Conclusion. The 3D simulation landscape design method based on image sensor has higher accuracy and wider application prospect.
基于图像传感器的三维仿真景观设计
为了解决景观植物建模工作量大,各种景观植物缺乏高效的辅助或自动建立三维模型的方法,以及一般的景观植物三维模型不能反映植物的自然生长和与环境的相互作用等问题,本文提出了一种基于图像传感器的景观设计三维模拟方法。该方法包括构建三维图像模拟景观特征分析功能和合理性判断模型,从而为景观设计提供理论支持。实验结果表明,传统深度评价方法获得的景观特征点匹配数量和匹配率低于本文所采用的三维图像模拟方法,且图像特征点匹配步骤相对简单。随着范围的逐渐扩大,本文所采用的三维图像仿真判断方法的精度逐渐提高,达到89%,而传统方法始终保持在40%左右。结论。基于图像传感器的三维仿真景观设计方法具有更高的精度和更广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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