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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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3D Objects Reconstruction from Image Data
Cír, Filip ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
This paper deals with 3D reconstruction of objects from image data. There is describes theoretical basis of the 3D optical scanning. Handheld 3D optical scanner setup is described composed of a single camera and a line laser whose position is fixed with respect to the camera. Set of image markers and a simple real-time detection algorithm are proposed. Detected markers are used to estimate position and orientation of the camera. Finally, laser detection and triangulation of points lying on object surface are discussed.
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Sensor Calibration for Multispectral Data Fusion in Mobile Robotics
Kalvodová, Petra ; Hanzl, Vlastimil (referee) ; Mazal,, Jan (referee) ; Pospíšil,, Jiří (referee) ; Weigel, Josef (advisor)
Thesis deals with data fusion and calibration of sensory system of Orpheus-X3 robot and EnvMap mapping robot. These robots are parts of Cassandra robotic system that is used for exploration of hazardous or inaccessible areas. Corrections of measured distances are determined for used laser scanners Velodyne HDL-64, Velodyne HDL-32 and range camera SwissRanger SR4000. Software MultiSensCalib has been created and is described. This software is used for determination of intrinsic parameters of heterogeneous cameras of the sensory head and for determination of mutual position and orientation of these sensors. Algorithm for data fusion of CCD camera stereo pair, thermal imager stereo pair and range camera is proposed. Achieved calibration and data-fusion parameters are evaluated by several experiments.
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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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Detection of Landmarks on Vehicle Images
Chadima, Vojtěch ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
This thesis aims to introduce automatic detection of landmarks on vehicle images. Detected landmarks can be then used for automatic traffic surveillance camera calibration or other computer vision applications. I solved the landmarks detection problem by using a novel type of convolutional neural network called Stacked Hourglass. Furthemore, I created an automatic trainig dataset (image + anotations) generator based on Blender API, which allows to create various datasets. Detected landmarks are analyzed and sorted in order to determine a set of superior landmarks that could be later used for camera calibration. The best-performing models detect up to 1 021 landmarks, while the best of them have less than 3.0 pixels average error. Finally, results can be further used in automatic camera calibration based on landmarks detection, to create custom datasets or to train Stacked Hourglass convolutional neural networks.
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3D model of the selected object
Raclavský, David ; Hanzl, Vlastimil (referee) ; Kalvoda, Petr (advisor)
The result of the diploma thesis is a photogrammetrically evaluated georeferenced 3D model of an object with its environment, located in the AdMaS complex. The work describes in detail all phases of creating a 3D model of the object from the selection and calibration of the camera to editing the 3D model. Discuss about software and methods for evaluating 3D models. The thesis deals with the optimal setting of ContectCapture software. The accuracy of the resulting 3D model is tested by the methodology according to ČSN 013410 on the basis of control measurements.
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Quadcopter localization in 3D space based on mono-camera
Kubica, Petr ; Musil, Petr (referee) ; Beran, Vítězslav (advisor)
This bachelor thesis focuses on the possibilities of existing methods for locating the UAV AscTec Pelican using a monocular camera. The methods SVO, PTAM and LSD-SLAM were tested in both inner and outer environments using various cameras, lenses and hardware with different performance. Based on the experience gained during the testing, guidelines on how to achieve the best results are made.
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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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