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3D reconstruction
Musálek, Martin ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
Thesis solves 3D reconstruction of an object by method of lighting by pattern. A projector lights the measured object by defined pattern and two cameras are measuring 2D points from it. The pedestal of obejct rotates and during the measure are acquired data from different angles. Points are indentified from measured images, transformed to 3D using stereovision, connected to 3D model and displayed.
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3D Reconstruction from two views
Myška, Milan ; Minář, Jiří (referee) ; Hasmanda, Martin (advisor)
This bachelor thesis deals with 3D reconstruction process using two 2D pictures of one scene taken with uncalibrated cameras. The first chapter focuses on mathematical theory behind this process. Epipolar geometry, locating keypoints method SURF, fundamental matrix, stereo rectification and stereo correspondence using block-matching method are explained here. The next chapter of my thesis describes a practical view of this topic and my own C++ program is introduced at the same time.
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Computational Re-Photography
Červenka, Adam ; Šolony, Marek (referee) ; Čadík, Martin (advisor)
Photographing by historical picture is subject of interest both for photographers and researcher. In this way, it is possible to observe development of site, or its surroundings, within the timeframe. Problem may come to pass when we want to found the same view as the reference picture. Finding the same view is usually solve only by manually. In this case, photographers must rely to estimation and photographic skill. This method may be inaccurate and for photographer considerably inconvenient. The solution is the refutographic algorithm that using computer vision techniques.
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3D Reconstruction from two views
Myška, Milan ; Minář, Jiří (referee) ; Říha, Kamil (advisor)
This bachelor thesis deals with 3D reconstruction process using two 2D pictures of one scene taken with uncalibrated cameras. The first chapter focuses on mathematical theory behind this process. Epipolar geometry, locating keypoints method SURF, fundamental and essential matrix, projection matrices, stereo rectification process and searching for stereo correspondences are explained here. The next chapter of my thesis describes a practical view of this topic and my own C++ program is introduced at the same time.
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3D model from multiview
Zemčík, Tomáš ; Klečka, Jan (referee) ; Richter, Miloslav (advisor)
Reconstruction of 3D model from multiple view images allows us to perform a contactless measurement of real world objects. This work contains theoretical and mathematical background necessary for understanding problems of 3D reconstruction. It also proposes possible hardware and software solutions for the task of measuring a hood with EEG sensors while on patients head.
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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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Online 3D reconstruction
Bastl, Jiří ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This thesis describes reconstruction of scene which is scan trough two cameras. There are described methods of calibration of cameras system, methods for finding the corners and methods for finding correspondences. Corners are searched by FAST detector and for search correspondences are used normalized cross correlation. In the framework of 3D reconstruction is implemented rectification. The final shape is saved to VRML format. In the thesis are described parallelization options. The calculation of the correlation is optimized for multiprocessors CPU and there are designed implementations of algorithm to GPU and FPGA too.
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3D reconstruction from multiple views
Sládeček, Martin ; Klečka, Jan (referee) ; Richter, Miloslav (advisor)
This thesis deals with the task of three-dimensional scene reconstruction using image data obtained from multiple views. It is assumed that intrinsic parameters of the utilized cameras are known. The theoretical chapters describe the basic priciples of individual reconstruction steps. Variuous possible implementaions of data model suitable for this task are also described. The practical part also includes a comparison of false keypoint correspondence filtering, implementation of polar stereo rectification and comparison of disparity map calculation methods that are bundled with the OpenCV library. In the final portion of the thesis, examples of reconstructed 3D models are presented and discussed.
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Stereo image processing and visualisation
Karásek, Miroslav ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
This thesis deals with the processing of stereo images. It described the principles of calibration and rectification of stereo images. The thesis described several methods for finding important points. SURF method is then implemented for practical solution. Finding correspondences is realized using the methods of image processing library OpenCV. Reconstructed spatial coordinates of points and write by the format specified VRML97. Finally, there is introduced evaluated accuracy of spatial data acquisition and comparison of computational cost generated programs.
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