A review of algorithms for filtering the 3D point cloud
In recent years, 3D point cloud has gained increasing attention as a new representation for
objects. However, the raw point cloud is often noisy and contains outliers. Therefore, it is …
objects. However, the raw point cloud is often noisy and contains outliers. Therefore, it is …
[HTML][HTML] State of research in automatic as-built modelling
Abstract Building Information Models (BIMs) are becoming the official standard in the
construction industry for encoding, reusing, and exchanging information about structural …
construction industry for encoding, reusing, and exchanging information about structural …
[HTML][HTML] A scalable and accurate de-snowing algorithm for LiDAR point clouds in winter
W Wang, X You, L Chen, J Tian, F Tang, L Zhang - Remote Sensing, 2022 - mdpi.com
Accurate and efficient environmental awareness is a fundamental capability of autonomous
driving technology and the real-time data collected by sensors offer autonomous vehicles an …
driving technology and the real-time data collected by sensors offer autonomous vehicles an …
Bi-normal filtering for mesh denoising
Most mesh denoising techniques utilize only either the facet normal field or the vertex
normal field of a mesh surface. The two normal fields, though contain some redundant …
normal field of a mesh surface. The two normal fields, though contain some redundant …
Guided 3D point cloud filtering
Abstract 3D point cloud has gained significant attention in recent years. However, raw point
clouds captured by 3D sensors are unavoidably contaminated with noise resulting in …
clouds captured by 3D sensors are unavoidably contaminated with noise resulting in …
Consolidation of low‐quality point clouds from outdoor scenes
The emergence of laser/LiDAR sensors, reliable multi‐view stereo techniques and more
recently consumer depth cameras have brought point clouds to the forefront as a data format …
recently consumer depth cameras have brought point clouds to the forefront as a data format …
Point cloud resampling using centroidal Voronoi tessellation methods
This paper presents a novel technique for resampling point clouds of a smooth surface. The
key contribution of this paper is the generalization of centroidal Voronoi tessellation (CVT) to …
key contribution of this paper is the generalization of centroidal Voronoi tessellation (CVT) to …
Broad-to-narrow registration and identification of 3D objects in partially scanned and cluttered point clouds
The new generation 3D scanner devices have revolutionized the way information from 3D
objects is acquired, making the process of scene capturing and digitization straightforward …
objects is acquired, making the process of scene capturing and digitization straightforward …
Signal processing on static and dynamic 3d meshes: Sparse representations and applications
Nowadays, real-time 3D scanning and reconstruction becomes a requirement for a variety of
interactive applications in various fields, including heritage science, gaming, engineering …
interactive applications in various fields, including heritage science, gaming, engineering …
Quasi-interpolation for surface reconstruction from scattered data with radial basis function
Radial Basis Function (RBF) has been used in surface reconstruction methods to interpolate
or approximate scattered data points, which involves solving a large linear system. The …
or approximate scattered data points, which involves solving a large linear system. The …