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Multiplayer Game for a Mobile Device
Čechák, Daniel ; Hradiš, Michal (referee) ; Bambušek, Daniel (advisor)
The aim of this work is to design and develop a simple and yet fun game for mobile devices, which can entertain players and make their moments of rest more pleasant. The game is developed in Unity. It is a board game for 2-4 players and contains four minigames. Players move around the board using dice rolls and are affected by bonuses gained in minigames based on their skill. The thesis describes the process of designing this game as well as its implementation. Last but not least, the work includes several methods of testing for this game. The game has been published and is freely available on Google Play under the name MiniBoard Champ.
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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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Vehicle 3D Pose Estimation form Traffic Cameras
Pospíšil, Ondřej ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The goal of this bachelor thesis is to create a method for the 3D pose estimation of vehicles from traffic cameras. Existing methods for the car detection and the pose estimation of vehicles are described. Part of the thesis was to build a dataset for the purpose of training and experiments on the proposed car pose estimation method. Proposed method uses a convolutional neural network for regression of the car base in the image. Car pose is then projected into the road plane using homography. Experiments summarize training and the evaluation of the car pose estimation method and accuracy of manual vehicle annotation.
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Multi-Modal Restricted Boltzmann Machines
Svoboda, Jiří ; Beran, Vítězslav (referee) ; Hradiš, Michal (advisor)
This thesis explores how multi-modal Restricted Boltzmann Machines (RBM) can be used in content-based image tagging. This work also cointains brief analysis of modalities that can be used for multi-modal classification. There are also described various RBMs, that are suitable for different kinds of input data. A design and implementation of multimodal RBM is described together with results of preliminary experiments.
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Detection of Corresponding Points in Images
Komosný, Petr ; Hradiš, Michal (referee) ; Španěl, Michal (advisor)
This thesis is interested in detection of corresponding points in images, which display the same object, eventually some of important elements and synchronizing these images. The aim of this thesis is to find, study and choose suitable algorithm for detecting interesting points in image. This algorithm will be apply at couple of images and in these images will find couples of corresponding points across these images. Functional output of this thesis will be application which will realize choosen interesting points detector, algorithm for finding correspondencies of regions and their synchronizing and joint them to one output image.
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Convolutional Neural Networks for Security Applications
Kišš, Martin ; Hradiš, Michal (referee) ; Smrž, Pavel (advisor)
This thesis deals with design and implementation of application for person recognition in security camera. For single face rocongition are used convolutional neural networks, which creates representation of the face, and k-nearest neighbours algorithm for classification. For recognition of sequence of faces there are three algorithms implemented. On test data success of recognition reached nearly 75 %.
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User Interface for Efficient Corrections of OCR Output
Szepsi, Pavol ; Kapinus, Michal (referee) ; Hradiš, Michal (advisor)
The aim of the present bachelor thesis was to design and implement a web user interface for checking and correcting OCR outputs which will be suitable for mobile and touchscreen devices. The user interface uses the OCR output variants that the user can use to modify the recognized text. The interface is implemented in JavaScript using the Vue JS framework. XAMPP package is used for the server part. The tool Axios is used for communication between the user interface and the server. The created interface allows users to quickly and easily correct the OCR outputs, either on a computer or on a mobile device.
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Image Captioning with Recurrent Neural Networks
Kvita, Jakub ; Španěl, Michal (referee) ; Hradiš, Michal (advisor)
Tato práce se zabývá automatickým generovaním popisů obrázků s využitím několika druhů neuronových sítí. Práce je založena na článcích z MS COCO Captioning Challenge 2015 a znakových jazykových modelech, popularizovaných A. Karpathym. Navržený model je kombinací konvoluční a rekurentní neuronové sítě s architekturou kodér--dekodér. Vektor reprezentující zakódovaný obrázek je předáván jazykovému modelu jako hodnoty paměti LSTM vrstev v síti. Práce zkoumá, na jaké úrovni je model s takto jednoduchou architekturou schopen popisovat obrázky a jak si stojí v porovnání s ostatními současnými modely. Jedním ze závěrů práce je, že navržená architektura není dostatečná pro jakýkoli popis obrázků.
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Color-to-Grayscale Video Conversions
Března, Filip Samuel ; Hradiš, Michal (referee) ; Čadík, Martin (advisor)
Color to grayscale conversion is still a relevant topic and finds use in multiple areas, to which belongs artistic photography, but primarily colorless print and for simplifying some processes in picture processing. This Bachelor thesis deals with this conversion - decolorization, with focus on video sequences. The basic principle of representation of digital image is explained here alongside with operations for its processing used in next part of thesis. Thereafter it includes the analysis of types of methods, which are used for the conversion to grayscale and further their properties and success rate are evaluated aswell. In the second part of this thesis, there are three chosen and implemented decolorization methods and summary of their achieved results, which is then accompanied by evaluation of practicability in conversion of colorful video sequences to grayscale ones.
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