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AUTOMATING THE VERIFICATION OF HERITAGE BUILDING INFORMATION MODELS CREATED FROM POINT CLOUD DATA
3D analysis as-built BIM model checking point clouds deviations walls
2019/3/2
The use of remote sensors to acquire metric information for building information modelling (BIM) of heritage buildings is now common. Problematically, the creation of models from that information is s...
SEMANTIC SEGMENTATION OF BUILDING ELEMENTS USING POINT CLOUD HASHING
semantic segmentation hashing Orthodox church point clouds
2018/6/4
For the interpretation of point clouds, the semantic definition of extracted segments from point clouds or images is a common problem. Usually, the semantic of geometrical pre-segmented point cloud el...
POINT CLOUD MANAGEMENT THROUGH THE REALIZATION OF THE INTELLIGENT CLOUD VIEWER SOFTWARE
Complex point cloud Intelligent Cloud Viewer Integrated survey Digital photogrammetry Castel del Monte
2017/6/20
The paper presents a software dedicated to the elaboration of point clouds, called Intelligent Cloud Viewer (ICV), made in-house by AESEI software (Spin-Off of Politecnico di Bari), allowing to view p...
FITTING A POINT CLOUD TO A 3D POLYHEDRAL SURFACE
Contactless measurement point clouds fitting Stretched Grid method Principal Component Analysis
2017/6/19
The ability to measure parameters of large-scale objects in a contactless fashion has a tremendous potential in a number of industrial applications. However, this problem is usually associated with an...
Point cloud registration and virtual realization of large scale and more complex historical structures
Terrestrial Laser Scanning Point Cloud Registration Accuracy Three-Dimensional Cultural Heritage
2014/4/22
Digital information technology always needs more information about object and its relations. Thus, three-dimensional (3D) models of historical structures are created for visualize and documentation of...
Recovering the shape of a point cloud in the plane
Convex set a-convex set Set estimation Distance in measure Image analysis
2011/6/20
In this work we deal with the problem of support estimation under shape restrictions. The shape
restriction we deal with is an extension of the notion of convexity named a-convexity. Instead of
assu...
基于非均匀细分的散乱点云数据精简算法（Algorithm of Scattered Point Cloud Data Reduction Based on Non-uniform Subdivision）
逆向工程 散乱点云 非均匀细分
2009/9/25
针对海量散乱点云数据精简问题，提出了基于非均匀细分的精简算法。采用八叉树结构对点云数据进行空间分割，由分割结果建立k邻域。对k邻域内的散乱点进行二次曲面拟合，以拟合曲面的平均曲率为判据决定是否对八叉树空间实行非均匀细分，细分过程中由数据点之间的最大间隔角决定细分程度。构造曲率差函数，识别出边界数据点，对其进行数据保护。该算法对具有曲率多样化特点的点云数据的精简具有实用性，通过实验验证了该算法的可靠...