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Hand Extraction from a Photo with Different Backgrounds
Kováčik, Timotej ; Kanich, Ondřej (referee) ; Sakin, Martin (advisor)
This thesis focuses on extraction of human hand from photographs with different backgrounds. The goal is to design and implement an algorithm capable of locating human hand in the image and identifying its parts. It analyses the methods of biometric identification and verification, methods used for extracting objects from an image. The outcome of this thesis is a design and implementation of an algorithm that is able to extract human hand from a photo and identify its parts.
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Pattern recognition by means of moment method
Števček, Juraj ; Štarha, Pavel (referee) ; Druckmüller, Miloslav (advisor)
This diploma thesis deals with object recognition using moment method. We will recognize the letters from the scanned text. The moment method works with principal moments, these are moments invariant to scaling, translation and rotation. This thesis focuses on a detail description of the moment method, on determining the optimal combination of principal moments suitable for object recognition and to create a program for recognition. For all combinations of principal moments the accuracy of the recognition is calculated and the best option is proposed. The moment method will be compared with the moment invariants method. This method is similar to the moment method but has a different approach to rotation invariants.
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Passive optical detection and classification of flying objects
Mošková, Andrea ; Marcoň, Petr (referee) ; Vlachová Hutová, Eliška (advisor)
Based on an initial analysis of the methods used for optical detection and recognition of moving elements in a dynamic image captured by a static camera, the bachelor's thesis presents a proposal for a complex detection algorithm capable of recording and classifying flying objects in the sky. The method uses a differential detection algorithm to detect signs of motion, thanks to which flying objects are located in the video frames. The SVM classifier then decides on the classification of the object into one of the three considered classes, based on its description obtained by extraction of SIFT descriptors and possibly supplemented with information from RGB histograms. The algorithm was implemented primarily in Matlab.
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Robot vision with industrial robots Kuka
Krutílek, Jan ; Pochylý, Aleš (referee) ; Kubela, Tomáš (advisor)
Diploma thesis deals with a robot vision and its application to the problem of manipulation of coincidentally placed objects. There is mentioned an overview of current principles of the most frequently used vision systems on the market. With regard to the required task to be solved, there are mentioned various possibilities of using basic softsensors during the recognition of different objects. The objective of this Diploma thesis is also programming and realization of a demonstration application applying knowledge of PLC programming, knowledge of expert programming KRL language (for KUKA robots), knowledge of designing scripts for smart camera in Spectation software and knowledge of network communication among all devices used in this case.
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Design of a vision system with Kuka robot
Rusnák, Jakub ; Pochylý, Aleš (referee) ; Kubela, Tomáš (advisor)
Diploma thesis deals with applications of vision system with KUKA robot in field of identification and sorting bigger amount of different objects. Introductory and theoretical part of the thesis describes present situation on industrial vision systems market and their usage. Diploma thesis include practical application of object (coin) recognition with SICK IVC 2D vision system and their sorting by industrial robot KUKA KR 3. Application is also concerned with network communication between camera and robot via PLC, programming in KRL language and programm for object recognition in IVC Studio.
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Client-Server Mobile Application with Image Processing
Černošek, Bedřich ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
The main goal of this work is creating client-server application with image processing and cryptographic verification of image source and creation time. The work focuses on creating a mobile client application on the Android platform that securly takes photos by mobile device camera, processes captured images and provides a digital signature, timestamp and GPS location. The main part of the work is secure key exchange, encrypted communication, data and energy efficiency of the client-server application. The server application is implemented on the Java EE platform and processes the received image, performs object detection, object recognition in the image and provides a timestamp from a trusted server. Then taken photo can be considered as a trusted electronic document usable as valid evidence for the judical or administrative proceedings.
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Robotic Arm Exploiting RC Components and Servos
Bobčík, Petr ; Kapinus, Michal (referee) ; Zemčík, Pavel (advisor)
Cílem této práce bylo postavit vlastní robotické rameno, s využitím RC komponent, serv a dodat k němu i vlastní uživatelské rozhraní, které umožní jeho řízení. Součástí řešení bylo také opatřit robotické rameno potřebnou senzoriku, která by umožnila jistou míru autonomnosti. Pro mé řešení jsem se rozhodl upravil již existující design robotického ramene, s pěti stupni volnosti, založeném na krokových motorech. Přidal jsem senzory, jako je akcelerometr, enkodér, měřič proudu, laserové měření vzdálenosti a kameru. Na základě těchto senzorů je robotické rameno schopné detekovat náraz, pozici odpojených motorů, uchopení předmětu uchopovacím mechanizmem nebo měřit vzdálenost předmětu v prostoru za účelem inverzní kinematiky. Vytvořil jsem také jednoduché uživatelské rozhraní, které umožňuje tři typy ovládání, jako je ovládání jednotlivých kloubů samostatně, autonomně s využitím kamery nebo ručním napozicováním.
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Client Server Application for the Creation of File Pages for the PČR
Terbr, Filip ; Beran, Vítězslav (referee) ; Rydlo, Štěpán (advisor)
The diploma thesis is devoted to the design and implementation of a system for editing photographic documentation of the Police of the Czech Republic. The work includes an analysis of currently used technologies, a design of the client application, a design of the server part of the system and a description of the implementation of the client and server parts of the system. The resulting implementation of the server part is written in JavaScript with support for the Express.JS framework, the resulting client application is written in JavaScript using the Electron framework.
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Pattern recognition by means of moment method
Števček, Juraj ; Štarha, Pavel (referee) ; Druckmüller, Miloslav (advisor)
This diploma thesis deals with object recognition using moment method. We will recognize the letters from the scanned text. The moment method works with principal moments, these are moments invariant to scaling, translation and rotation. This thesis focuses on a detail description of the moment method, on determining the optimal combination of principal moments suitable for object recognition and to create a program for recognition. For all combinations of principal moments the accuracy of the recognition is calculated and the best option is proposed. The moment method will be compared with the moment invariants method. This method is similar to the moment method but has a different approach to rotation invariants.
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Passive optical detection and classification of flying objects
Mošková, Andrea ; Marcoň, Petr (referee) ; Vlachová Hutová, Eliška (advisor)
Based on an initial analysis of the methods used for optical detection and recognition of moving elements in a dynamic image captured by a static camera, the bachelor's thesis presents a proposal for a complex detection algorithm capable of recording and classifying flying objects in the sky. The method uses a differential detection algorithm to detect signs of motion, thanks to which flying objects are located in the video frames. The SVM classifier then decides on the classification of the object into one of the three considered classes, based on its description obtained by extraction of SIFT descriptors and possibly supplemented with information from RGB histograms. The algorithm was implemented primarily in Matlab.
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