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THE USE OF IMAGE MATCHING METHODS IN GEOMORPHOLOGICAL ANALYSIS
Šiková, Zuzana ; Potůčková, Markéta (advisor) ; Hodač, Jindřich (referee)
The use of optical scanning methods in geomorpho-analysis Abstract Main goal of this thesis is to find out if it is possible to use Structure from motion (SfM) method for analyzing geomorphological objects. Four geomorphological features in three different places within Pilsen-North region was used for testing this method. These objects with very dissimilar dimensions and shapes was scanned for this testing in various light conditions. All used data-sets was entirely created by author of this thesis. The data was initially processed by Agisoft Photoscan Professional Ediditon v1.1.6 and VisualSFM v0.5.26 to create spatial models. These models was afterwards processed in CloudCompare v2.6.1 and MeshLab v1.3.3. This software was used for clipping and merging of 3D models and for converting 3D models in to real dimensions. These real sized spatial models was then contrasted together by creating comparing entities. Outcomes are evaluated in the thesis conclusion. Keywords: Structure from motion (SfM), SIFT, RANSAC
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3D Surface Reconstruction From Video Sequences
Dominec, Adam ; Mach, Lukáš (advisor) ; Sedláček, David (referee)
Abstract. This work describes a method for dense scene reconstruction from video, assuming both the external and internal calibration of camera in each frame is known. The method is modular; in the cases of the well studied subproblems, a description of the corresponding algorithms is provided, and where necessary, we present our novel techniques. The method reconstructs the scene in an iterative manner and is highly adaptable to required precision and resolution of the output. This work is accompanied by a complete open- source implementation of the method described.
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Mobile application for 3D reconstruction
Krátký, Martin ; Janáková, Ilona (referee) ; Richter, Miloslav (advisor)
The aim of this master thesis is to create mobile application for spatial reconstruction. Thesis describes image processing methods suitable for solving this problem. Available platforms for creating mobile application are described. The parameters of the measured scenes are defined. A mobile application containing the described methods is created. The application is tested by reconstruction of objects in different conditions.
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Scalable Multisensor 3D Reconstruction Framework
Šolony, Marek ; Kneip, Laurent (referee) ; Sojka, Eduard (referee) ; Zemčík, Pavel (advisor)
Realistické 3D modely prostředí jsou užitečné v mnoha oborech, od inspekce přírodních struktur nebo budov, navigace robotů a tvorby map až po filmový průmysl při zaměřování scény nebo pro integraci speciálních efektů. Je běžné při snímání takové scény použít různých typů senzorů, jako například monokulární, stereoskopické nebo sférické kamery nebo 360° laserové skenery, pro dosažení velkého pokrytí scény. Výhoda laserových skenerů a sférických kamer spočívá právě v zachycení celého okolí jako jeden celistvý snímek. Použitím konvenčních monokulárních kamer lze naproti tomu snadno pokrýt zastíněné části scény nebo zachytit detaily. Proces 3D rekonstrukce sestává ze tří kroků: snímání, zpracování dat a registrace a zpřesnění rekonstrukce. Přínos této disertační práce je podrobná analýza metod registrace obrazu ze sférických a planárních kamer a implementace unifikovaného systému sensorů a měření pro 3D rekonstrukci, jež umožňuje rekonstrukci ze všech dostupných dat. Hlavní výhodou navržené unifikované reprezentace je, že umožňuje společně optimalizovat všechny pózy sensorů a bodů scény aplikací nelineárních optimalizačních metod. Tím dosahuje lepší přesnosti rekonstrukce aniž by se výrazně zvýšily výpočetní nároky.
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Continuous Realization of Monocular Structure from Motion
Klečka, Jan
This paper describes a concept and practical aspects of a realization of an algorithm used for 3D scene reconstruction from multiple views captured by single moving camera. Position and orientation of the camera are a priory unknown and are calculated on-the-fly from tracked point correspondences.
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Reconstruction of 3D Information about Vehicles Passing in front of a Surveillance Camera
Dobeš, Petr ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
This master's thesis focuses on 3D reconstruction of vehicles passing in front of a traffic surveillance camera. Calibration process of surveillance camera is first introduced and the relation of automatic calibration with 3D information about observed traffic is described. Furthermore, Structure from Motion, SLAM, and optical flow algorithms are presented. A set of experiments with feature matching and the Structure from Motion algorithm is carried out to examine results on images of passing vehicles. Afterwards, the Structure from Motion pipeline is modified. Instead of using SIFT features, DeepMatching algorithm is utilized to obtain quasi-dense point correspondences for the subsequent reconstruction phase. Afterwards, reconstructed models are refined by applying additional constraints specific to the vehicle reconstruction task. The resultant models are then evaluated. Lastly, observations and acquired information about the process of vehicle reconstruction are utilized to form proposals for prospective design of an entirely custom pipeline that would be specialized for 3D reconstruction of passing vehicles.
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THE USE OF IMAGE MATCHING METHODS IN GEOMORPHOLOGICAL ANALYSIS
Šiková, Zuzana ; Potůčková, Markéta (advisor) ; Hodač, Jindřich (referee)
The use of optical scanning methods in geomorpho-analysis Abstract Main goal of this thesis is to find out if it is possible to use Structure from motion (SfM) method for analyzing geomorphological objects. Four geomorphological features in three different places within Pilsen-North region was used for testing this method. These objects with very dissimilar dimensions and shapes was scanned for this testing in various light conditions. All used data-sets was entirely created by author of this thesis. The data was initially processed by Agisoft Photoscan Professional Ediditon v1.1.6 and VisualSFM v0.5.26 to create spatial models. These models was afterwards processed in CloudCompare v2.6.1 and MeshLab v1.3.3. This software was used for clipping and merging of 3D models and for converting 3D models in to real dimensions. These real sized spatial models was then contrasted together by creating comparing entities. Outcomes are evaluated in the thesis conclusion. Keywords: Structure from motion (SfM), SIFT, RANSAC
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3D Surface Reconstruction From Video Sequences
Dominec, Adam ; Mach, Lukáš (advisor) ; Sedláček, David (referee)
Abstract. This work describes a method for dense scene reconstruction from video, assuming both the external and internal calibration of camera in each frame is known. The method is modular; in the cases of the well studied subproblems, a description of the corresponding algorithms is provided, and where necessary, we present our novel techniques. The method reconstructs the scene in an iterative manner and is highly adaptable to required precision and resolution of the output. This work is accompanied by a complete open- source implementation of the method described.
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3D model
Sládeček, Martin ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This paper concerns the task three-dimensional scene using image sequence obtained with an ordinry camera. First portion of this thesis outlines the principles used in solving of the task, the second chapter describes a reconstucion algorithm and it's implementation in the Python programming language. The output of this program is demonstrated on several selected scenes. Final remarks discuss the quality of resulting models, shortcomings of the program and possible improvements.
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3D Reconstruction of Historic Landmarks from Flickr Pictures
Šimetka, Vojtěch ; Maršík, Lukáš (referee) ; Polok, Lukáš (advisor)
Tato práce popisuje problematiku návrhu a vývoje aplikace pro rekonstrukci 3D modelů z 2D obrazových dat, označované jako bundle adjustment. Práce analyzuje proces 3D rekonstrukce a důkladně popisuje jednotlivé kroky. Prvním z kroků je automatizované získání obrazové sady z internetu. Je představena sada skriptů pro hromadné stahování obrázků ze služeb Flickr a Google Images a shrnuty požadavky na tyto obrázky pro co nejlepší 3D rekonstrukci. Práce dále popisuje různé detektory, extraktory a párovací algoritmy klíčových bodů v obraze s cílem najít nejvhodnější kombinaci pro rekonstrukci budov. Poté je vysvětlen proces rekonstrukce 3D struktury, její optimalizace a jak je tato problematika realizovaná v našem programu. Závěr práce testuje výsledky získané z implementovaného programu pro několik různých datových sad a porovnává je s výsledky ostatních podobných programů, představených v úvodu práce.
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