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基于激光点云数据的室内设计三维模型构建

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为提高室内设计精准度、还原物体重建细节,提出基于激光点云数据的室内设计三维模型构建方法.基于自适应邻域对激光点云数据实施配准,对线状与片状的自适应邻域采取不同的配准措施;基于k-means聚类算法分割点云数据,基于Delaunay三角剖分法对点云分割区域结果进行三角面构建,为构建的三角面赋予原始点云RGB颜色信息,实现室内物体纹理映射重建.测试结果显示,该方法良好还原了室内物体的真实形态,点云配准与分割时间开销低、模型构建误差小.
Construction of Interior Design 3D Model Based on Laser Point Cloud Data
In order to improve the accuracy of interior design and restore the details of object re-construction,a 3D model construction method for interior design based on laser point cloud data is pro-posed.The laser point cloud data is registered based on the adaptive neighborhood,and different regis-tration measures are taken for the linear and sheet adaptive neighborhoods;the point cloud data is seg-mented based on the k-means clustering algorithm,and the Delaunay triangulation method is used.Triangle surface is constructed for the result of point cloud segmentation area,and RGB color informa-tion of original point cloud is given to the constructed triangle surface to realize texture mapping recon-struction of indoor objects.The test results show that the method can restore the real shape of indoor objects well,with low time overhead for point cloud registration and segmentation,and small model construction error.

laser point cloudinterior designneighborhoodregistrationsegmentationmodel-ing

崔金敏

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安徽中澳科技职业学院,安徽合肥 230001

激光点云 室内设计 邻域 配准 分割 建模

安徽省高校优秀青年人才支持计划(重点)2022年度安徽省科学研究项目安徽省高校哲学社会科学重点项目

GXYQZD20210832022AH0531242022AH053126

2024

佳木斯大学学报(自然科学版)
佳木斯大学

佳木斯大学学报(自然科学版)

影响因子:0.159
ISSN:1008-1402
年,卷(期):2024.42(1)
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