Searched for: subject%3A%22point%255C%2Bcloud%255C%2Bregistration%22
(1 - 7 of 7)
document
Yang, Z. (author), Ye, Qin (author), Wang, Xufei (author), Peters, R.Y. (author)
Objective Recent advancements in laser scanners and photogrammetry technology have significantly reduced the cost of acquiring 3D point clouds. Consequently, various types of point clouds have gradually become popular data sources for urban applications. The accurate registration of cross-source and multi<sup>-</sup>temporal point clouds must...
journal article 2023
document
Dardavesis, Ioannis (author)
Nowadays, the evolution of localisation and navigation technologies is vast, aiding towards facilitating users’ guidance in various environments. Outdoor positioning can be easily achieved, with the widely used Global Navigation Satellite Systems (GNSS), which comprise a universal standard for positioning and are included in every person’s...
master thesis 2022
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Cicimen, Alp (author)
Surface Registration is a registration problem that handles the registration of two similar surfaces. In most research that utilises Deep Learning (DL) models to handle surface registration two theories are investigated; the first being whether surfaces sampled from the same origin can be registered together, and the second theory being whether...
bachelor thesis 2022
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Weyns, Maarten (author)
In order to be able to use the Microsoft HoloLens for surgical navigation purposes, performing good patient alignment is of utmost importance. This paper will discuss how this patient alignment can be done using different point cloud registration algorithms.<br/>A lot of research is being conducted on point cloud registration algorithms. However...
bachelor thesis 2022
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Oostwegel, Laurens (author)
Unlike outdoor environments, there is no wide-spread solution to positioning inside a building. Indoorsolutions rely on pre-installation of infrastructure, such as Bluetooth beacons or ultra-wide bandtechnology. Recently, there has been growing interest in the use of Augmented Reality (AR) for indoorpositioning. AR devices use an algorithm known...
master thesis 2020
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Qian, Qinzhuan (author)
Real-time point cloud capturing and multiple depth camera 3D reconstruction are vital elements that bring real-time representations into a virtual world and provide an im- mersive experience which can be applied to develop VR/AR applications. To make this possible, camera calibration plays an essential role in providing important camera spa-...
master thesis 2018
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Kang, Z. (author), Lindenbergh, R.C. (author), Pu, S. (author)
This paper presents an algorithm for the automatic registration of terrestrial point clouds by match selection using an efficiently conditional sampling method - Threshold-independent BaySAC (BAYes SAmpling Consensus) and employs the error metric of average point- To-surface residual to reduce the random measurement error and then approach...
journal article 2016
Searched for: subject%3A%22point%255C%2Bcloud%255C%2Bregistration%22
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