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Augmented Reality for Training and Execution of Airplane Maintenance
Košík, Michal ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This thesis deals wtih augmented reality applied to aircraft maintenance which is widely explored here. Furthermore, a reseach is done on the previous work done in this field. A video data-set is acquired from LET - a manufacturer of LET L-410 aircraft and an application is created in order to test possibilities of using augmented reality in aircraft maintenance. The result and proposals of the future work can be found in this thesis as well
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Visipedia - Embedding-driven Visual Feature Extraction and Learning
Jakeš, Jan ; Beran, Vítězslav (referee) ; Zemčík, Pavel (advisor)
Multidimenzionální indexování je účinným nástrojem pro zachycení podobností mezi objekty bez nutnosti jejich explicitní kategorizace. V posledních letech byla tato metoda hojně využívána pro anotaci objektů a tvořila významnou část publikací spojených s projektem Visipedia. Tato práce analyzuje možnosti strojového učení z multidimenzionálně indexovaných obrázků na základě jejich obrazových příznaků a přestavuje metody predikce multidimenzionálních souřadnic pro předem neznámé obrázky. Práce studuje příslušené algoritmy pro extrakci příznaků, analyzuje relevantní metody strojového účení a popisuje celý proces vývoje takového systému. Výsledný systém je pak otestován na dvou různých datasetech a provedené experimenty prezentují první výsledky pro úlohu svého druhu.
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CAPTCHA Recognition
Klika, Jan ; Samek, Jan (referee) ; Rozman, Jaroslav (advisor)
This thesis describes the design and implementation of an application for breaking the CAPTCHA. It also describes the history and evolution of CAPTCHA and the ways of its generating and possible techniques of its breaking. This thesis focuses on the new types of CAPTCHA, based on hard character segmentation. So the main target of this thesis is the design and implementation of the new segmentation method, allowing the recognition of modern CAPTCHAs, especially reCAPTCHA.
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Stereoscopic Face Images Matching
Klaudíny, Martin ; Kršek, Přemysl (referee) ; Zemčík, Pavel (advisor)
This thesis is dedicated to the problem of 3D face capture. A majority of current face capture systems exploits a pattern projection. The goal of thesis was to develop the 3D face capture system based on the passive stereo photogrammetry. The high-resolution images of a face are captured by one pair of the calibrated digital still cameras. The image pre-processing consists of the removal of lens distortion, rectification of image pair and face extraction. The stereo image matching is accentuated. Three different approaches to the stereo correspondence search are presented - the local technique, the global technique using a graph cut and the hybrid technique merging previous two. At last, the 3D model is reconstructed according to the found correspondence. The results show that the high-quality 3D face models can be obtained despite traditional difficulties with matching pattern-free face images. Also it is possible to keep the computational demands on the acceptable level, although the high-resolution images are processed.
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Object Tracking in Video Sequences
Mlích, Jozef ; Beran, Vítězslav (referee) ; Zemčík, Pavel (advisor)
In this master thesis, image processing methods and methods for statistical modeling of motion are presented. First, description methods of image processing, such as background subtraction method used for object detection, are presented. Next, description of morphological operations, such as dilatation and erosion, is done. Finally, methods for statistical modeling, such as Kalman filter and particle filters, are shown.
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Similarity Measure of Points of Interest in Image
Křehlík, Jan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This document deals with experimental verifying to use machine learning algorithms AdaBoost or WaldBoost to make classifier, that is able to find point in the second picture that matches original point in the first picture. This work also depicts finding points of interest in image as a first step of finding correspondence. Next there are described some descriptors of points of interest. Corresponding points could be useful for 3D modeling of shooted scene.
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Person Identification for Surveillance
Hopjan, Tomáš ; Juránek, Roman (referee) ; Hradiš, Michal (advisor)
This project deals with camera system surveillance and identification of humans. Motion detection and identification methods are presented. The main issue is people tracking using multiple camera system. Identification of individuals is accomplished using processing of decomposed colors histograms. Based on the experiments benefits and problems are introduced.
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Motion Detector For Android Platform
Komár, Michal ; Přibyl, Jaroslav (referee) ; Láník, Aleš (advisor)
This bachelor´s thesis deals with implementation of the motion detector for Android platform mobile phones. It works as a motion detector, with the ability to indicate moving object recorded by an integrated camera. The detector core is written in native code for faster processing by ARM architecture processors. The application allows various settings to optimize the detector in different environments.
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