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Vehicle Following Distance Estimation from Mobile Phone in Vehicle
Zemánek, Ondřej ; Špaňhel, Jakub (referee) ; Sochor, Jakub (advisor)
The aim of this bachelor thesis is to create a mobile application for Android that estimates the distance of vehicles based on vehicle size in the camera image of the mobile phone. The estimation of the following distance is evaluated based on known camera parameters, the average vehicle width and the size of image area that represents detected car. Vehicles and their licences plates are detected in the image using cascade classifiers. Licence plate is detected only in the area of the detected vehicle. A training dataset for cascade classifier was created as part of this work. The cascade classifier is designed for vehicle detection. This work is extended with feature that tracks following distance in time and warns you with an acoustic signal on sudden distances change. This thesis is divided into five main parts - comparison of existing solutions for distance estimation, review of object detection methods, application design, implementation and evaluation of detectors, distance evaluation.
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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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Measuring positions of objects using a pair of cameras
Sláma, Adam ; Říha, Kamil (referee) ; Kříž, Petr (advisor)
The thesis focuses on acquiring spatial information of a digital image. Simple measuring device consists of two static cameras and of a created software, which is able to find the coordinates of measured object in the sensing area with certain accuracy due to the reference coordinate system. The program was formed in the development environment Microsoft Visual Studio 2015 using package of OpenCV libraries in C++ programming language. The program is based on calibration of image, determination of the global and pixel coordinates and on triangulation method.
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Design of 3D scan method based on computer vision
Kratochvíl, Jaromír ; Mašek, Petr (referee) ; Růžička, Michal (advisor)
This thesis deals with designing 3D scan method for visualization of laser beam. The first part deals with the division of 3D scanners and explains how they work. The second part compares various image processing tools and selects the most suitable for this work. The third part proposes a solution that explains the individual methods that were used or considered for this work. The fourth part deals with the solution, explaining how the methods has been created. The next part deals with practical experiments where proposed solutions are applied to different objects in different positions. The last part is the conclusion summarizing the results of this work.
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Augmented Reality Using Video from a Stationary Camera
Lagová, Lenka ; Szentandrási, István (referee) ; Herout, Adam (advisor)
This thesis deals with the issue of creating applications of augmented reality. There are described types of augmented reality, problems associated with developing of applications of this kind. Also there is description of method for detection of moving objects from the record of stationary camera. The thesis deals with camera calibration using knowledge of scene geometry. Scene editor for scene geometry estimation is included in this work. Augmented reality is represented by physical simulations, where object from virtual reality interacts with detected objects and with objects defined in scene editor.
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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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Projector camera cooperation
Walter, Viktor ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
The focus of this thesis is the cooperation of cameras and projectors in projection of data into a scene. It describes the means and theory necessary to achieve such cooperation, and suggests tasks for demonstration. A part of this project is also a program capable of using a camera and a projector to obtain necessary parameters of these devices. The program can demonstrate the quality of this calibration by projecting a pattern onto an object according to its current pose, as well as reconstruct the shape of an object with structured light. The thesis also describes some challenges and observations from development and testing of the program.
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Uniform Marker Fields for Android
Salát, Marek ; Szentandrási, István (referee) ; Herout, Adam (advisor)
This thesis deals with a desing and an implementation of a detector for Uniform Marker Fields and a debugging appliaction for Android mobile devices. Implementation comes with alternativ methods in considiration of original solution, suitable for low-performance devices. The main goal of detector is find a position and a rotation of marker module or alternatively a position of the camera in real space. The resulting soulution can be also used as a library for the marker module detection or as a core for augmented reality based application using Uniform Marker Fields.
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