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3D Application For Android Platform
Smejkal, Jakub ; Švub, Miroslav (referee) ; Láník, Aleš (advisor)
This bachelor thesis addresses the implementation of 3D application for platform Android. Application implements simulator of Rubik's cube. Control is implemented using an inertial unit, plus other types of interfaces. To support the user's solving Rubik's cube problem is implemented an artifi cial intelligence.
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Recognizing Faces within Image
Svoboda, Pavel ; Žák, Pavel (referee) ; Švub, Miroslav (advisor)
The essence of face recognition within the image is generally computer vision, which provides methods and algorithms for the implementation. Some of them are described just in this work. Whole process is split in to three main phases. These are detection, aligning of detected faces and finally its recognition. Algorithms which are used to applied in given issue and which are still in progress from todays view are mentioned in every phase. Implementation is build up on three main algorithms, AdaBoost to obtain the classifier for detection, method of aligning face by principal features and method of Eigenfaces for recognizing. There are theoretically described except already mentioned algorithms neural networks for detection, ASM - Active Shape Models algorithm for aligning and AAM - Active Appearance Model for recognition. In the end there are tables of data retrieved by implemented system, which evaluated the main implementation.
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Neural Network Based Edge Detection
Janda, Miloš ; Žák, Pavel (referee) ; Švub, Miroslav (advisor)
Aim of this thesis is description of neural network based edge detection methods that are substitute for classic methods of detection using edge operators. First chapters generally discussed the issues of image processing, edge detection and neural networks. The objective of the main part is to show process of generating synthetic images, extracting training datasets and discussing variants of suitable topologies of neural networks for purpose of edge detection. The last part of the thesis is dedicated to evaluating and measuring accuracy values of neural network.
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City Traffic Simulation
Švéda, Pavel ; Švub, Miroslav (referee) ; Chudý, Peter (advisor)
This Master's Thesis deals with the possibilities for the practical usage of traffic simulations as tools for seeking solutions to various kinds of problems such as road traffic flow, the environmental impact of traffic, etc. It contains a description of the basic terms in the area of traffic simulation models, advantages of their practical usage, and furthermore, it describes the basic general methods of and attitudes to the most commonly used traffic simulations. In the second part, the analysis and the design of an original micro traffic simulator are included. Finally, the traffic simulator is implemented and tested on a real traffic situation.
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Virtual blackboard
Smyček, Libor ; Švub, Miroslav (referee) ; Štancl, Vít (advisor)
This thesis deals with graphic information processing methods in relation to drawing application. It also defines theorems for geometric primitives operations on plane. The second part includes analysis and implementation of vitrual blackboard for usage at elementary and hight schools.
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Neural Network Based Image Segmentation
Vrábelová, Pavla ; Žák, Pavel (referee) ; Švub, Miroslav (advisor)
This paper deals with application of neural networks in image segmentation. First part is an introduction to image processing and neural networks, second part describes an implementation of segmentation system and presents results of experiments. The segmentation system enables to use different types of classifiers, various image features extraction and also to evaluate the success of segmentation. Two classifiers were created - a neural network (self-organizing map) and an algorithm K-means. Colour (RGB and HSV) and texture features and their combinations were used for classification. Texture features were extracted using a set of Gabor filters. Experiments with designed classifiers and feature extractors were carried out and results were compared.
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Application for 2D Curves Demonstration
Opletal, Pavel ; Švub, Miroslav (referee) ; Venera, Jiří (advisor)
This Bachelor's Thesis deals with planar curves used in computer graphics. It sums up general ideas of these curves and deals with particular methods for computing planar curves. It describes methods used for computing Ferguson cubic curves, Kochanek-Bartels spline, Cardinal spline, Catmull-Rom spline, Bézier curves and their modifications, Coons cubic curves, Coons cubic B-spline curves and NURBS. Practical part of this project deals with concept and impementation of tutorial, which demonstrates chosen curves.
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Texture Synthesis
Havelka, Robert ; Štancl, Vít (referee) ; Švub, Miroslav (advisor)
This thesis deals with texturing, its importance and basic list of the processes during texture synthetising is included. Texture generating is mainly described from the procedural generator point of view. There is also explained the sense of using Fourier's transformation and its simplified version, the discreet cosine transformation. For texture modiffication, Gaussian noise and gaussian filter is used. The convolution theorem is applied for the texture mixing. Within the scope of this thesis, there is also described the application implementation, which enables experimenting with texture creating.
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