|
|
Software Module for Point Clouds Display in Virtual Reality
Bařinka, Martin ; Chromý, Adam (referee) ; Žalud, Luděk (advisor)
Goal of this bachelor's thesis is development of application for rendering multispectral pointclouds, meshes and transparent meshes. Input data can be generated by different types of scaners. This thesis describes types of equipment for virtual reality display. There are basic data about virtual reality history, compares popular formats for 3D model storage. Thesis describes program features and contains user guide. Finally there is analysis and evaluation of each optimalisation at defined conditions.
|
|
|
Vectorized Point Clouds for Mobile Robotics
Jelínek, Aleš ; Mazal, Jan (referee) ; Duchoň,, František (referee) ; Žalud, Luděk (advisor)
Disertační práce se zabývá zpracováním mračenen bodů z laserových skenerů pomocí vektorizace a následnému vyhledávání korespondencí mezi takto získanými aproximacemi pro potřeby současné sebelokalizace a mapování v mobilní robotice. První nová metoda je určena pro segmentaci a filtraci surových dat a realizuje obě operace najednou v jednom algoritmu. Pro vektorizaci je představen optimalizovaný algoritmus založený na úplné metodě nejmenších čtverců, který je v současnosti patrně nejrychlejší ve své třídě a blíží se tak eliminačním metodám, které ovšem produkují výrazně horší aproxi- mace. Inovativní analytické metody jsou představeny i pro účely vyjádření podobnosti mezi dvěma vektorizovanými skeny, pro jejich optimální sesazení a pro vyhledávání korespondencí mezi nimi. Všechny představené algoritmy jsou intezivně testovány a jejich vlastnosti ověřeny množstvím experimentů.
|
|
|
Surface Reconstruction from Point Clouds
Jarůšek, Tomáš ; Zemčík, Pavel (referee) ; Španěl, Michal (advisor)
Surface reconstruction from point clouds represents very modern and widespreadly used method for digitalization of real surfaces. The main focus of this work is on a comparison of several algorithms (Poisson surface reconstruction, Ball Pivoting Algorithm, Fourier surface reconstruction, Wavelet surface reconstruction and Multi-level Partition of Unity implicits) that reconstruct original surface in a form of triangle mesh from an oriented point cloud. Every algorithm was used in a series of tests on both real and synthetic datasets which were also modified to suit more complicated experiments. The following evaluation is done in various categories. The results are evaluated both visualy and with calculated measures (such as Hausdorff distance). Together these experiments depict a detailed analysis of the state of surface reconstruction algorithms. Our experimets show that the selection of optimal algorithm depends on a concrete task. Overall Possion surface reconstruction and Fourier surface reconstruction provide the best results.
|
|
|
Surface Reconstruction from Point Clouds
Knot, Stanislav ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This diploma thesis deals with the processing of point clouds captured by the Kinect sensor from single position. As part of this thesis an application was designed, which is able to register and reconstruct surface using selected methods. The registration of overlapping frames is based on computation of key points and their FPFH histograms from which the estimation of correspondence is computed. This estimation is then refined and redundant point filtering is performed. Surface is reconstructed from the registered and modified point cloud using Greedy Projection Triangulation. All computations are performed offline. The output of this application is textured polygonial model and an image for texture creation. With assumption of correctly set parameters the results are in a good quality for creation of virtual tours and visualization.
|
|
|
Vytvoření 3D modelu jeskyně Koňská jáma z dat pozemního laserového skenování pro potřeby CHKO Moravský kras
Gaja, Martin
The thesis discusses the use of relatively new technologies laser scanning for speleology surveying. The impulse for the creation of this work are simple, in many cases inaccurate surveyings the caves, which are, since inception for a long time, used up to now. The work describes the process of data acquisition by terrestrial laser scanning, then their processing and outputs that can be present or work with them. It is also evaluated the appropriateness of using this method in speleosurveying and compared with the currently used methods.
|
|
|
Analysis of Point Clouds Representing Surfaces of Engineering Practice
Surynková, Petra ; Voráčová, Šárka (advisor) ; Pokorný, Milan (referee) ; Lávička, Miroslav (referee)
Title: Analysis of Point Clouds Representing Surfaces of Engineering Practice Author: Petra Surynková Department: Department of Mathematics Education Supervisor: Mgr. Šárka Voráčová, Ph.D., Faculty of Transportation Sciences, Czech Technical University in Prague Abstract: The doctoral dissertation Analysis of Point Clouds Representing Surfaces of Engineering Practice addresses the development and application of methods of digital reconstruction of surfaces of engineering and construction practice from point clouds. The main outcome of the dissertation is a presentation of new procedures and methods that contribute to each of the stages of the reconstruction process from the input point clouds. The work is mainly focused on the analysis of input clouds that describe special types of surfaces. Several completely new algorithms and improvements of existing algorithms that contribute to individual steps of surface reconstruction are presented. New procedures are based on geometrical characteristics of the reconstructed object. An important result of the dissertation is an analysis of not only synthetically generated point clouds but above all an analysis of real point clouds that have been obtained from measurements of real objects. The significant contribution of the dissertation is also an...
|
|
|
3D Model of a Room Using Kinect
Zemek, Martin ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
This thesis is about finding significant planar surfaces in point cloud and their conversion to polygons. Which is important step for making a 3D model of a room. Input is point cloud, which was recorded by Kinect v2 sensor. Tool for capturing one snapshot from Kinect is included in this thesis. For recording more detailed point cloud is needed external program. Some of the programs are mentioned further in this thesis. For plane detection is used RANSAC. Inliers are divided using Euclidean Cluster Extraction. These clusters are converted to polygon using convex or concave hull. Application is capable of working with one snapshot or bigger point cloud assembled by registration of particular snapshots and detect primary and secondary planar surfaces. For the largest plane points can be prepared for creation of a texture and dimensions of this plan can be printed in CLI.
|
|
|
Localisation of Mobile Robot in the Environment
Němec, Lukáš ; Hradiš, Michal (referee) ; Veľas, Martin (advisor)
This paper addresses the problem of mobile robot localization based on current 2D and 3D data and previous records. Focusing on practical loop detection in the trajectory of a robot. The objective of this work was to evaluate current methods of image processing and depth data for issues of localization in environment. This work uses Bag of Words for 2D data and environment of point cloud with Viewpoint Feature Histogram for 3D data. Designed system was implemented and evaluated.
|
|
| |
|
|
3D Scene Reconstruction from Images
Fuchsík, Ondřej ; Zahrádka, Jiří (referee) ; Španěl, Michal (advisor)
This bachelor thesis deals with scene reconstruction from images using RGB--D senzo Microsoft Kinect. The aim of the work is to create model of the room in form of points from scanned data, from witch is created plan of the interior. A large part of the work deals with the point cloud registration, thus existing methods and their descriptions. Further, a projection of points on a plane and detection of edges in the obtained image are discussed. The work experimentally examines the influence of recording and the recorded environment on results.
|
guest ::
