Scatter plots are mostly used for correlation analysis, but are also a useful tool for understanding the distribution of high-dimensional point cloud data. An important characteristic of such distributions are clusters, and scatter plots have been used successfully to identify clusters in data. Another characteristic of point cloud data that has received less attention so far are regions that c...

Existing approaches that extract buildings from point cloud data do not select the appropriate neighbourhood for estimation of normals on individual points. However, success these depends correct normal vector. In most cases, a fixed is selected without considering geometric structure object and distribution input cloud. Thus, heterogeneous cloud, this paper proposes new effective approach sele...

We propose a Bayesian method to detect change points in sequence of functional observations that are signal functions observed with noises. Since have unlimited features, it is natural think the driving underlying through an evolution process, is, different features over time but possibly at times. A change-point then viewed as cumulative effect changes many so dissimilarities before and after ...

The challenge that this paper addresses is how to efficiently minimize the cost and manual labor for automatically generating object oriented geometric digital twins (gDTs) of industrial facilities, so benefits provide even more value compared initial investment generate these models. Our previous work achieved current state-of-the-art class segmentation performance (75% average accuracy per po...

Point clouds are one of the most primitive and fundamental manifold representations. A popular source of point clouds are three-dimensional shape acquisition devices such as laser range scanners. Another important field where point clouds are found is the representation of high-dimensional manifolds by samples. With the increasing popularity and very broad applications of this source of data, i...

This paper presents the main ideas behind our soft real-time database system prototype called Data Point Processor (DPP). The main dim in designing such systems is to minimize the application programs part of database management and therefore to avoid heavy data transfers between the database server and the application client due to polling. Our design is based on the observation of data transf...