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3D reconstruction from multiple views
Sládeček, Martin ; Klečka, Jan (referee) ; Richter, Miloslav (advisor)
This thesis deals with the task of three-dimensional scene reconstruction using image data obtained from multiple views. It is assumed that intrinsic parameters of the utilized cameras are known. The theoretical chapters describe the basic priciples of individual reconstruction steps. Variuous possible implementaions of data model suitable for this task are also described. The practical part also includes a comparison of false keypoint correspondence filtering, implementation of polar stereo rectification and comparison of disparity map calculation methods that are bundled with the OpenCV library. In the final portion of the thesis, examples of reconstructed 3D models are presented and discussed.
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Development of computational tool for engineering
Komiš, Jan ; Hájek, Jiří (referee) ; Vondál, Jiří (advisor)
The thesis aims to provide insight into the use of Python in engineering calculations. The thesis has been divided into a theoretical and practical part. The theoretical part introduces Python and its possible uses in the field of engineering. The second section of the theoretical part describes key choices of study resources and provides instructions on how to set up Python from the perspective of a common user. The final part of the thesis deals with the choice of appropriate libraries (SciPy, NumPy, Cantera, etc.) and shows how these can be used practically in specific tasks from the fields of thermomechanics and hydromechanics.
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Development of computational tool for engineering
Komiš, Jan ; Hájek, Jiří (referee) ; Vondál, Jiří (advisor)
The thesis aims to provide insight into the use of Python in engineering calculations. The thesis has been divided into a theoretical and practical part. The theoretical part introduces Python and its possible uses in the field of engineering. The second section of the theoretical part describes key choices of study resources and provides instructions on how to set up Python from the perspective of a common user. The final part of the thesis deals with the choice of appropriate libraries (SciPy, NumPy, Cantera, etc.) and shows how these can be used practically in specific tasks from the fields of thermomechanics and hydromechanics.
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3D reconstruction from multiple views
Sládeček, Martin ; Klečka, Jan (referee) ; Richter, Miloslav (advisor)
This thesis deals with the task of three-dimensional scene reconstruction using image data obtained from multiple views. It is assumed that intrinsic parameters of the utilized cameras are known. The theoretical chapters describe the basic priciples of individual reconstruction steps. Variuous possible implementaions of data model suitable for this task are also described. The practical part also includes a comparison of false keypoint correspondence filtering, implementation of polar stereo rectification and comparison of disparity map calculation methods that are bundled with the OpenCV library. In the final portion of the thesis, examples of reconstructed 3D models are presented and discussed.
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AI techniques in algorhitmic trading
Šmejkal, Oldřich ; Pavlíčková, Jarmila (advisor) ; Berka, Petr (referee)
Diploma thesis is focused on research and description of current state of machine learning field, focusing on methods that can be used for prediction and classification of time series, which could be then applied in the algorithmic trading field. Reading of theoretical section should explain basic principles of financial markets, algorithmic trading and machine learning also to reader, which was previously familiar with the subject only very thoroughly. Main objective of application part is to choose appropriate methods and procedures, which match current state of art techniques in machine learning field. Next step is to apply it to historical price data. Result of application of selected methods is determination of their success at out of sample data that was not used during model calibration. Success of prediction was evaluated by accuracy metric along with Sharpe ratio of basic trading strategy that is based on model predictions. Secondary outcome of this work is to explore possibilities and test usability of technologies used in application part. Specifically is tested and used SciPy environment, that combines Python with packages and tools designed for data analysis, statistics and machine learning.
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