Shape segmentation from point cloud data is a core step of the digital twinning process for
industrial facilities. However, it is also a very labor intensive step, which counteracts the …

With the recent development of laser scanning technology, the variety of applications of
laser scanners has increased. One typical application is object recognition from laser …

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 …

In boundary representation (B-rep) reconstruction for computer aided design (CAD)
applications, it is still challenging with existing methods to distinguish primitives in the …

Due to the numerous objects with regular structures in indoor environments, identifying and
modeling the regular objects in scenes aids indoor robots in sensing unknown …

We introduce the LS3DS dataset, a novel collection of large 3D CAD models, meshes, and
point clouds of industrial sites. Additionally, the proposed dataset provides a processing …

We developed parameterized B-rep-based surface correspondence estimation (PABSCO),
which is a new category-level 3D object matching method to estimate the 6DoF poses and …

Geometric primitive fitting in point clouds of large structures is an important task in many
scenarios, such as: 3D data simplification, scene reconstruction and 3D CAD reverse …

Thanks to their ever improving resolution and accessibility, Light Detection And Ranging
(LiDAR) sensors are increasingly used for mapping cities. Indeed, these sensors are able to …

In this thesis, we set out to find an algorithm that uses only geometric primitives to represent
an input pointcloud. In addition to the problems faced in general primitive fitting, non …