Results 21 to 30 of about 525,074 (283)
Fast and robust 3D feature extraction from sparse point clouds [PDF]
, 2016 Matching 3D point clouds, a critical operation in map building and localization, is difficult with Velodyne-type sensors due to the sparse and non-uniform point clouds that they produce.
GRISETTI, GIORGIO +2 more
core +1 more source
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning [PDF]
, 2019 We show that denoising of 3D point clouds can be learned unsupervised, directly from noisy 3D point cloud data only. This is achieved by extending recent ideas from learning of unsupervised image denoisers to unstructured 3D point clouds.
Hermosilla, Pedro +2 more
core +2 more sources
Applied Sciences, 2022 TLS can quickly and accurately capture object surface coordinates. However, TLS point clouds cannot cover the entire surface of the target object, due to block of view and limitation of measurement condition.
He Jia +5 more
doaj +1 more source
Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds [PDF]
, 2012 A novel multi-scale operator for unorganized 3D point clouds is introduced. The Difference of Normals (DoN) provides a computationally efficient, multi-scale approach to processing large unorganized 3D point clouds.
, +4 more
core +1 more source
3D Point Cloud Recognition Based on a Multi-View Convolutional Neural Network
Sensors, 2018 The recognition of three-dimensional (3D) lidar (light detection and ranging) point clouds remains a significant issue in point cloud processing. Traditional point cloud recognition employs the 3D point clouds from the whole object.
Le Zhang, Jian Sun, Qiang Zheng
doaj +1 more source
QUALIFICATION OF POINT CLOUDS MEASURED BY SFM SOFTWARE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 This paper proposes a qualification method of a point cloud created by SfM (Structure-from-Motion) software. Recently, SfM software is popular for creating point clouds.
K. Oda +4 more
doaj +1 more source
Solid image extraction from LIDAR point clouds [PDF]
, 2013 In laser scanner architectural surveying it is necessary to extract orthogonal projections from the tridimensional model, plans, elevations and cross sections.
Munaretto, Dafne, Roggero, Marco
core +3 more sources
Picking Towels in Point Clouds
Sensors, 2019 Picking clothing has always been a great challenge in laundry or textile industry automation, especially when some clothes are of the same colors, material and entangled with each other.
Xiaoman Wang +5 more
doaj +1 more source
Finite Element Based Tracking of Deforming Surfaces [PDF]
, 2014 We present an approach to robustly track the geometry of an object that deforms over time from a set of input point clouds captured from a single viewpoint.
Lang, Jochen +3 more
core +1 more source
Accurate registration of MMS point clouds of urban areas using trajectory [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Recently, by Mobile Mapping System (MMS) with laser scanners, a GPS and IMU (Inertial Measurement Unit), 3D point clouds of urban areas (MMS point clouds) are easily acquired.
S. Takai +5 more
doaj +1 more source