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	Face recognition in video sequences Malach, Tobiáš ; Průša,, Zdeněk (referee) ; Slanina, Martin (advisor) This thesis deals with design, implementation and testing of face recognition system processing video sequences captured by CCTV systems. The use of Local Binary Pattern Histograms (LPBH) and Nearest Neighbor (NN) classifier was suggested according to the survey of face recognition methods. Discrimination power of LBPH features was examined and individual informative features were searched based on Fisher discrimination ratio and mutual correlation. Cluster’s centorid method was utilized for pattern creation because of its best effect on system’s face recognition capability comparing several proposed methods. Software tool for effective face recognition system algorithms performance testing was developed. Video database IFaViD was assembled for training and performance testing of implemented face recognition system. Detailed record
	Rozklad vybraných biologicky rozložitelných plastů v reálných podmínkách kompostování Svobodová, Michaela This diploma thesis is focused on problematics of biodegradable material, above all biodegradable of plastics and with relating normativ environment. Practical part is focused on monitoring biodegradable of plastics samples in real conditions of composting near Třebíč in Vícenicích u Náměště nad Oslavou, evaluation of gained result and conclusion with result that were achieved is also published thesis. The aim of this diploma thesis is to provide with all information regarding the manner of evaluating the decomposition of degradable polymeric materials and materiále marketed as degradable in real composting conditions. Detailed record
	Face recognition in video sequences Malach, Tobiáš ; Průša,, Zdeněk (referee) ; Slanina, Martin (advisor) This thesis deals with design, implementation and testing of face recognition system processing video sequences captured by CCTV systems. The use of Local Binary Pattern Histograms (LPBH) and Nearest Neighbor (NN) classifier was suggested according to the survey of face recognition methods. Discrimination power of LBPH features was examined and individual informative features were searched based on Fisher discrimination ratio and mutual correlation. Cluster’s centorid method was utilized for pattern creation because of its best effect on system’s face recognition capability comparing several proposed methods. Software tool for effective face recognition system algorithms performance testing was developed. Video database IFaViD was assembled for training and performance testing of implemented face recognition system. Detailed record

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