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Street View Mapping Using the Sensory Mobile Platform
Győri, Adam ; Kapinus, Michal (referee) ; Veľas, Martin (advisor)
The aim of this bachelor's thesis is to develop a web application that facilitates viewing of panoramatic photographies while having an optional map background. Application works for usage of surveyors, mainly for pasportization of buildings and grounds. Main aim of the application is to simplify inspection of recorded image data. Solution consists of visual display of view and creating of switchable map background.
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3D Educational Application Using the Depth Sensors
Zubrik, Tomáš ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This work deals with the creation of an interactive learning system that uses depth sensor and projector to render an interactive topographic map on the top of the sand surface. Our solution is based on the existing application AR Sandbox. Aditionally to the visualization elevation, the application allows the user to model the terrain model interactivelly, while guiding him by color distinguishment to create model correctly. We have developed an extension that allows the user to choose any part of the Earth's surface to create its model. The solution utilizes the full potential of the original application and offers the user an engaging experience in modeling the landforms or river basins. The result of this work is an operational system, which is helpful for gaining the knowledge in the field of topography and hydrology. User testing was evaluated using a UEQ questionnaire and has proven the usability, while achieving average score of 1.2, which is rated above-average on the UEQ scale.
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Cloud Solution for 3D Models Processing
Klemens, Jakub ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
This thesis deals with the possibilities of processing 3D models in cloud applications. A C++ library called Cloud3D has been designed and implemented. The resulting library is used to quickly create client-server applications. The library is divided into three separate parts: Client, Service Provider and Load Balancer. The service provider runs in the cloud and provides 3D model processing services to client applications. The biggest advantage of Cloud3D is the ease of creating new applications with its help. Other benefits include scalability, assured implementation of look-a-side Load Balancer, and security ensured by the use of SSL certification.
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Planar Object Measurement in Image
Mlýnek, Přemysl ; Veľas, Martin (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to measure furniture doors using image processing and calculating the price of new doors from measured dimensions. The work is solved using OpenCV library and Python programming language. The core of the work is based on the FloodFill algorithm and Hough transforms. The graphical user interface is solved using the PyQt library. When obtaining the measurements of the furniture door, the following procedure is used - acquisition of a data set, imagine preprocessing, object segmentation, object classification, measurement of individual objects, output of measurement results and output price calculation. I have created a solution in the form of a desktop application that accepts an image at the input and outputs the measured dimensions along with the price of the new door. I managed to achieve an average deviation of 6 mm from real dimensions. This work has helped me understand the basics of image processing. An ordinary user of the application will be able to estimate the price of new furniture doors just based on a photo.
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Vehicle for Small and Remote Space Mapping
Koupý, Pavel ; Veľas, Martin (referee) ; Beran, Vítězslav (advisor)
This work describes process of making a robotic vehicle for remote mapping of small indoor spaces and areas. Such process involves design and construction, selection and connection of used electronic parts and implementation of interface witch wil provide set of tools as remote control, camera stream or autonomous space search.
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Street View Mapping Using Mobile Sensory Platform
Hraboš, Šimon ; Herout, Adam (referee) ; Veľas, Martin (advisor)
The aim of this bachelor thesis is to add a spherical video camera into the existing mapping system as an extension for recording the panoramic video. The secondary task is to generate an interactive panoramic tour displaying the recorded image data. Original application for area mapping captures the geometry using the lasers into 3D model. The main benefit of panoramic tour is improvement of visual inspection and more detailed view of recorded image data. The solution described in this thesis consists of two parts: recording of panoramic video and displaying it using virtual tour. The result is a multi-platform and web-based solution designed for common users.
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Deep Learning for Image Classification
Ziková, Jana ; Veľas, Martin (referee) ; Hradiš, Michal (advisor)
This bachelor thesis deals with electronic commerce website products classification using product's photographs. For this purpose we use already implemented models of deep convolutional neural networks. Tho goal of this theses is to design experiments that will lead to the best possible results in product images classification.
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Searching for Similar 3D Models
Šťáva, Zdeněk ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
This paper deals with searching similar 3D models in a database containing up to thousands of models. It focuses in particular on the comparison of existing descriptors used to describe 3D models and the subsequent evaluation of similarity between models. In particular, the descriptors Rotation Invariant Spherical Harmonics and 3D Zernike Descriptor are compared. It also describes the use of libraries to extract these descriptors and to design of various experiments with these libraries over several object databases. It examines the effect of scale, translation, deformation and rotation of different 3D models on the resulting descriptor and the overall accuracy of both selected methods. These results compare.
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Navigation Using Deep Convolutional Networks
Skácel, Dalibor ; Veľas, Martin (referee) ; Hradiš, Michal (advisor)
In this thesis I deal with the problem of navigation and autonomous driving using convolutional neural networks. I focus on the main approaches utilizing sensory inputs described in literature and the theory of neural networks, imitation and reinforcement learning. I also discuss the tools and methods applicable to driving systems. I created two deep learning models for autonomous driving in simulated environment. These models use the Dataset Aggregation and Deep Deterministic Policy Gradient algorithms. I tested the created models in the TORCS car racing simulator and compared the result with available sources.
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Localisation of Mobile Robot in the Environment
Urban, Daniel ; Sochor, Jakub (referee) ; Veľas, Martin (advisor)
This diploma thesis deals with the problem of mobile robot localisation in the environment based on current 2D and 3D sensor data and previous records. Work is focused on detecting previously visited places by robot. The implemented system is suitable for loop detection, using the Gestalt 3D descriptors. The output of the system provides corresponding positions on which the robot was already located. The functionality of the system has been tested and evaluated on LiDAR data.
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