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Object Detection and Recognition in Image
Muzikářová, Michaela ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
This bachelor's thesis deals with design and implementation of client-server application for object recognition with the use of existing mobile application. Theoretical part describes the differences between human and computer vision, followed by information about object detection and recognition with selected methods. The next section provides a detailed overview of artificial neural networks, which were used for this work, with their qualities for object recognition. Following part examines selected mobile applications for object recognition, followed by existing frameworks and libraries with focus on artificial neural networks. Among these, Caffe Framework was selected for the work. The next section illustrates the progress of design and implementation and describes the system, along with experiments and dataset used to prove its functionality.
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Hough Transform and its Variants
Stejskal, Jan ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
This thesis focuses on basic principles of Hough transform for the detection of lines, circles and arbitrary shapes, their algorithms, computational complexity and preparation of a picture for detection. The description of implementation of individual algorithms and creation of an aplication that demonstrates their properties. Implementation has been done in programming language MS Visual C++ with the help of open source library OpenCV and user interface has been created using IDE Qt Creator 4.13.2 (Community).
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Object Detection in Video Sequences
Šebela, Miroslav ; Beneš, Radek (referee) ; Číka, Petr (advisor)
The thesis consists of three parts. Theoretical description of digital image processing, optical character recognition and design of system for car licence plate recognition (LPR) in image or video sequence. Theoretical part describes image representation, smoothing, methods used for blob segmentation and proposed are two methods for optical character recognition (OCR). Concern of practical part is to find solution and design procedure for LPR system included OCR. The design contain image pre-processing, blob segmentation, object detection based on its properties and OCR. Proposed solution use grayscale trasformation, histogram processing, thresholding, connected component,region recognition based on its patern and properties. Implemented is also optical recognition method of licence plate where acquired values are compared with database used to manage entry of vehicles into object.
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Augmented Reality for Commercials
Angelov, Michael ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
Master's thesis presents a possible application of augmented reality in domain of commerci- als. It presents designed architecture of a mobile application that is able to detect and track specific objects (e.g. printed commercials, logos) in mobile';s phone camera in real time and provide some extra information about the detected object towards the user. Thesis also provides a review of contemporary used techniques in object recognition, object tracking and image retrieval from image databases.
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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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Hough Transform and its Variants
Stejskal, Jan ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
This thesis focuses on basic principles of Hough transform for the detection of lines, circles and arbitrary shapes, their algorithms, computational complexity and preparation of a picture for detection. The description of implementation of individual algorithms and creation of an aplication that demonstrates their properties. Implementation has been done in programming language MS Visual C++ with the help of open source library OpenCV and user interface has been created using IDE Qt Creator 4.13.2 (Community).
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Augmented Reality for Commercials
Angelov, Michael ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
Master's thesis presents a possible application of augmented reality in domain of commerci- als. It presents designed architecture of a mobile application that is able to detect and track specific objects (e.g. printed commercials, logos) in mobile';s phone camera in real time and provide some extra information about the detected object towards the user. Thesis also provides a review of contemporary used techniques in object recognition, object tracking and image retrieval from image databases.
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|
|
Object Detection and Recognition in Image
Muzikářová, Michaela ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
This bachelor's thesis deals with design and implementation of client-server application for object recognition with the use of existing mobile application. Theoretical part describes the differences between human and computer vision, followed by information about object detection and recognition with selected methods. The next section provides a detailed overview of artificial neural networks, which were used for this work, with their qualities for object recognition. Following part examines selected mobile applications for object recognition, followed by existing frameworks and libraries with focus on artificial neural networks. Among these, Caffe Framework was selected for the work. The next section illustrates the progress of design and implementation and describes the system, along with experiments and dataset used to prove its functionality.
|
|
|
Object Detection in Video Sequences
Šebela, Miroslav ; Beneš, Radek (referee) ; Číka, Petr (advisor)
The thesis consists of three parts. Theoretical description of digital image processing, optical character recognition and design of system for car licence plate recognition (LPR) in image or video sequence. Theoretical part describes image representation, smoothing, methods used for blob segmentation and proposed are two methods for optical character recognition (OCR). Concern of practical part is to find solution and design procedure for LPR system included OCR. The design contain image pre-processing, blob segmentation, object detection based on its properties and OCR. Proposed solution use grayscale trasformation, histogram processing, thresholding, connected component,region recognition based on its patern and properties. Implemented is also optical recognition method of licence plate where acquired values are compared with database used to manage entry of vehicles into object.
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