Results 91 to 100 of about 20,533 (189)
An efficient registration algorithm based on spin image for LiDAR 3D point cloud models
Spin image is a good point feature descriptor of the 3D surface and has been used in model registration for many applications from medical image processing to cooperation of multiple robots.
He YQ(何玉庆), Mei YG(梅元刚)
core
Point cloud registration for object reconstruction
Rad se bavi rekonstrukcijom objekata u obliku 3D modela u virtualnom okruženju, korištenjem registracije oblaka točaka kao osnove. Sustav se sastoji od PlantScan uređaja za 3D skeniranje i rekonstrukciju objekata, primarno biljaka, pomoću RGB-D kamere, i
Gregurić, Davor
core
A fast and effective way to improve the merging accuracy of multi-view point cloud data
In reverse engineering, in order to meet the requirements for model reconstruction, it is often necessary to locate and merge the different-view-measured cloud data in a global coordinate system.
Longstaff, Andrew P. +4 more
core
3D Shape Reconstruction from Multiple Range Image Views
Shape reconstruction of different three dimensional objects using multiple range images has evolved recently within the recent past. In this research shape reconstruction of a three dimensional object using multiple range image views is investigated ...
Ganapathi Annadurai, Kartick
core
Target-less registration of point clouds: A review
9 pages, 14 figures, written as the final report of the geomatics seminar at ETH ...
openaire +2 more sources
A Point Cloud Registration Algorithm Based on Weighting Strategy for 3D Indoor Spaces
Point cloud registration is a technology that aligns point cloud data from different viewpoints by computing coordinate transformations to integrate them into a specified coordinate system.
Wenshan Lv +4 more
doaj +1 more source
SemReg: Semantics Constrained Point Cloud Registration
SemReg: Semantics Constrained Point Cloud ...
Xuequan Lu (2318185) +5 more
core +2 more sources
Robot assisted 3D point cloud object registration
In this paper we describe a method for registration of 3D point clouds that represent objects of interest. A stereovision system is used to capture point clouds of a static environment, robot arm and an unknown object.
Švaco, Marko +3 more
core +1 more source
Tools for 3D point cloud registration
In this thesis, we did an in-depth review of the state of the art of 3D registration, evaluating the most popular methods. Given the lack of standardization in the literature, we also proposed a nomenclature and a classification to unify the evaluation systems and to be able to compare the different algorithms under the same criteria.
openaire +1 more source
Cloud to cloud registration for 3D point data
The vast potential of digital representation of objects by large collections of 3D points is being recognized on a global scale and has given rise to the popularity of point cloud data (PCD). 3D imaging sensors provide a means for quickly capturing dense
Grant, Darion Shawn
core

