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WaldBoost on GPU
Polok, Lukáš ; Mikolov, Tomáš (referee) ; Hradiš, Michal (advisor)
Image recognition and machine vision in general is quickly evolving field, due boom of cheap and powerful computation technologies. Image recognition has many different applications in wide spectrum of industries, ranging from communications trough security to entertainment. Algorithms for image recognition are still evolving and are often quite computationaly demanding. That is why some of authors deal with implementing the algorithms on specialized hardware accelerators. This work describes implementation of image recognition using the WaldBoost algorithm on the graphic accelerator (GPU) platform.
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Real-Time Image Processing
Polok, Lukáš ; Sumec, Stanislav (referee) ; Zemčík, Pavel (advisor)
This work is concerned with acceleration of two-dimensional image processing using programmable graphical hardware (or GPU's). Set of implemented operations includes some basic, mostly atomic, image processing functions. However, library is designed in such a manner so it can be easily extended by adding new functions. Implementation of graphical algorithms using GPU's profits from their high computational power and fast development cycles. For situations where target hardware doesn't support programmable shading, required by the library, reference "C" language implementation is available.
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Real-Time Image Processing
Polok, Lukáš ; Sumec, Stanislav (referee) ; Zemčík, Pavel (advisor)
This work is concerned with acceleration of two-dimensional image processing using programmable graphical hardware (or GPU's). Set of implemented operations includes some basic, mostly atomic, image processing functions. However, library is designed in such a manner so it can be easily extended by adding new functions. Implementation of graphical algorithms using GPU's profits from their high computational power and fast development cycles. For situations where target hardware doesn't support programmable shading, required by the library, reference "C" language implementation is available.
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WaldBoost on GPU
Polok, Lukáš ; Mikolov, Tomáš (referee) ; Hradiš, Michal (advisor)
Image recognition and machine vision in general is quickly evolving field, due boom of cheap and powerful computation technologies. Image recognition has many different applications in wide spectrum of industries, ranging from communications trough security to entertainment. Algorithms for image recognition are still evolving and are often quite computationaly demanding. That is why some of authors deal with implementing the algorithms on specialized hardware accelerators. This work describes implementation of image recognition using the WaldBoost algorithm on the graphic accelerator (GPU) platform.
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