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基于3D激光打印的建筑景观可视化视觉艺术重建 被引量:3

Visual Art Reconstruction of Architectural Landscape Visualization Based on 3D Laser Printing
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摘要 在进行建筑景观重建时,为防止周围环境、信号干扰等原因产生点云噪声,提出基于3D激光打印的建筑景观可视化视觉艺术重建方法。利用Kinect获取物体表面点云数据,并做多视角对齐和点云去噪处理,使模型数据更加精准。利用迭代最近点算法对数据进行点云配准与融合,通过数据的预处理,使点云数据融合为表面光滑、无孔洞模型,根据建筑景观的三维模型,使用3D激光打印机打印技术的可视化系统实现模型的视觉艺术展现。模拟试验结果表明,所设计的建筑景观重建误差率在10%以下,重建数据平滑值保持在0.9左右,满足了建筑景观视觉艺术重构的要求。 In order to prevent point cloud noise from the surrounding environment and signal interference during the reconstruction of the architectural landscape, a visual art reconstruction method of the architectural landscape based on 3 D laser printing is proposed. Kinect is used to obtain point cloud data on the surface of the object, and multi-view alignment and point cloud denoising processing are conducted to make the model data more accurate. The iterative nearest point algorithm is used to perform point cloud registration and fusion of the data, and data preprocessing is performed. The point cloud data is fused into a smooth surface model without holes. According to the three-dimensional model of the architectural landscape, the visualization system using 3 D laser printer printing technology realizes the model. The simulation test results show that the error rate of the designed architectural landscape reconstruction is below 10%, and the smooth value of the reconstruction data is maintained at about 0.9, which meets the requirements of the visual art reconstruction of the architectural landscape.
作者 王庄 Wang Zhuang(Jilin Normal University Siping,Jilin 136000,China)
机构地区 吉林师范大学
出处 《应用激光》 CSCD 北大核心 2022年第4期160-166,共7页 Applied Laser
基金 2020年吉林省教育厅人文社科研究项目(JJKH20211421SK) 激光推进及其应用国家重点实验室基金(SKLLKA-16)。
关键词 3D激光打印 艺术重建 ICP算法 点云数据 点云去噪 3D laser printing art reconstruction ICP algorithm point cloud data point cloud denoising
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