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Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Detection and Quality Improvement of Face Objects in Low-Quality Source Images
 Šoltis, Richard ; Tinka, Jan (oponent) ; Drahanský, Martin (vedoucí práce)
The aim of this thesis was to construct an algorithm for the detection of human face from poor quality source images and subsequently improving the image of human face. The result of the work is an application with a graphical interface which detects human face objects from the input images and then improves these inherited faces from the point of quality and size. When creating the application, current techniques and algorithms such as neuron networks were used. They formed the basis for detection and image improvement, S3FD detection and last but not least the GAN network to improve the image. Part of the thesis is testing the individual parts of the application in predefined scenarios as well as testing a comprehensive run application.
Úplný záznam
Detection and Quality Improvement of Face Objects in Low-Quality Source Images
 Šoltis, Richard ; Tinka, Jan (oponent) ; Drahanský, Martin (vedoucí práce)
The aim of this thesis was to construct an algorithm for the detection of human face from poor quality source images and subsequently improving the image of human face. The result of the work is an application with a graphical interface which detects human face objects from the input images and then improves these inherited faces from the point of quality and size. When creating the application, current techniques and algorithms such as neuron networks were used. They formed the basis for detection and image improvement, S3FD detection and last but not least the GAN network to improve the image. Part of the thesis is testing the individual parts of the application in predefined scenarios as well as testing a comprehensive run application.
Úplný záznam

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