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Human recognition on thermal images
Jančuš, Rastislav ; Babinec, Tomáš (referee) ; Petyovský, Petr (advisor)
This half-yearly project includes basic briefing about thermovision technics and color models. Analyses functions and concepts for correct settings thermal camera on create images, which are included people. This work contains acquaintance with thermal camera EasIR-4, which was created database testing images, and with software Guide IrAnalyser shipped with this camera. The third part this project includes process about creating color models of skin and algorithm for identification people in thermal images, which emanate from human temperature and color skin. This algorithm is realized in program Matlab.
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Applications supporting lectures on colour models
Khaladzinski, Kiryl ; Záviška, Pavel (referee) ; Rajmic, Pavel (advisor)
The aim of this bachelor thesis is to create Web applications that show the possibilities of working with different color models in real examples shows principles of digital images creation and the possibility of processing digital image data. Theoretical part devoted to the basic concept in color theory and the basis of raster images. The practical part is the design of four applications and their creation. The first of the applets shows the principle of mixing colors in different color models, the second on the example shows the basis of the index representation of the image, the third shows the methods of translating the color image to grayscale and the last applet is used to translate grayscale image to color image.
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Interactive web applications for education of color theory
Koroleva, Anfisa ; Přinosil, Jiří (referee) ; Rajmic, Pavel (advisor)
This bachelor thesis deals with the issue of interpretation of colors and color images in computer graphics. Specifically, the work is focused on the development of simple web applications – applets that will serve for interactive submission of methods used in the field of computer processing of color images. The created applets should demonstrate the relevant theory relating to color mixing in different color models, conversion of a color image to a gray-scale image, conversion of a gray-scale image to a false-color image, conversion of physical light into CIE XYZ and L*a*b* color spaces. The first part of the thesis describes the theoretical basis for the required applets. The following practical part is dedicated to the process of implementing the applets using JavaScript and HTML.
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Applications supporting lectures on colour models
Khaladzinski, Kiryl ; Záviška, Pavel (referee) ; Rajmic, Pavel (advisor)
The aim of this bachelor thesis is to create Web applications that show the possibilities of working with different color models in real examples shows principles of digital images creation and the possibility of processing digital image data. Theoretical part devoted to the basic concept in color theory and the basis of raster images. The practical part is the design of four applications and their creation. The first of the applets shows the principle of mixing colors in different color models, the second on the example shows the basis of the index representation of the image, the third shows the methods of translating the color image to grayscale and the last applet is used to translate grayscale image to color image.
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Recognition of Poses and Gestures
Jiřík, Leoš ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis inquires the existing methods on the field of image recognition with regards to gesture recognition. Some methods have been chosen for deeper study and these are to be discussed later on. The second part goes in for the concenpt of an algorithm that would be able of robust gesture recognition based on data acquired within the AMI and M4 projects. A new ways to achieve precise information on participants position are suggested along with dynamic data processing approaches toward recognition. As an alternative, recognition using Gaussian Mixture Models and periodicity analysis are brought in. The gesture class in focus are speech supporting gestures. The last part demonstrates the results and discusses future work.
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Interactive web applications for education of color theory
Koroleva, Anfisa ; Přinosil, Jiří (referee) ; Rajmic, Pavel (advisor)
This bachelor thesis deals with the issue of interpretation of colors and color images in computer graphics. Specifically, the work is focused on the development of simple web applications – applets that will serve for interactive submission of methods used in the field of computer processing of color images. The created applets should demonstrate the relevant theory relating to color mixing in different color models, conversion of a color image to a gray-scale image, conversion of a gray-scale image to a false-color image, conversion of physical light into CIE XYZ and L*a*b* color spaces. The first part of the thesis describes the theoretical basis for the required applets. The following practical part is dedicated to the process of implementing the applets using JavaScript and HTML.
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Interactive web applications for education of color theory
Koroleva, Anfisa ; Přinosil, Jiří (referee) ; Rajmic, Pavel (advisor)
This bachelor thesis deals with the issue of interpretation of colors and color images in computer graphics. Specifically, the work is focused on the development of simple web applications – applets that will serve for interactive submission of methods used in the field of computer processing of color images. The created applets should demonstrate the relevant theory relating to color mixing in different color models, conversion of a color image to a gray-scale image, conversion of a gray-scale image to a false-color image, conversion of physical light into CIE XYZ and L*a*b* color spaces. The first part of the thesis describes the theoretical basis for the required applets. The following practical part is dedicated to the process of implementing the applets using JavaScript and HTML.
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Lossless Light Field Compression
Navrátil, Robert ; Šolony, Marek (referee) ; Bařina, David (advisor)
This thesis is focused on lossless light-field images compression, where it could be viable to extend common predictors into more dimensions. First chapter is regarding to essential theory about light-field images and 4D light-field, which is followed by description of every predictor and coder. With this is connected description of used compression pipeline. Last chapters contains description of solution and differences between every predictor result and theirs dimensional variant. At the end the results are compared with PNG. The result is that some 4D variants of implemented predictors have better compression rate than PNG.
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