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Detection and Recognition of Dominant Face Features
Švábek, Hynek ; Láník, Aleš (referee) ; Chmelař, Petr (advisor)
This thesis deals with the increasingly developing field of biometric systems which is the identification of faces. The thesis deals with the possibilities of face localization in pictures and their normalization, which is necessary due to external influences and the influence of different scanning techniques. It describes various techniques of localization of dominant features of the face such as eyes, mouth or nose. Not least, it describes different approaches to the identification of faces. Furthermore a it deals with an implementation of the Dominant Face Features Recognition application, which demonstrates chosen methods for localization of the dominant features (Hough Transform for Circles, localization of mouth using the location of the eyes) and for identification of a face (Linear Discriminant Analysis, Kernel Discriminant Analysis). The last part of the thesis contains a summary of achieved results and a discussion.
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Application for Monitoring Changes of the Web
Švábek, Hynek ; Bartík, Vladimír (referee) ; Grulich, Lukáš (advisor)
The target of this bachelor thesis is creation of application Application for Monitoring Changes of the Web, which checks the changes of the web page in given time intervals and notifies the user about these changes. In a design section I describe, what had to be done before implementation and I also describe technologies used in application. The next part of text named Implementace considers implementation of application parts. Implementation has been done using Java language and libraries dom4, systray4j. Application also uses XML technology and Apache Ant application for compiling and running.
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Application for Monitoring Changes of the Web
Švábek, Hynek ; Bartík, Vladimír (referee) ; Grulich, Lukáš (advisor)
The target of this bachelor thesis is creation of application Application for Monitoring Changes of the Web, which checks the changes of the web page in given time intervals and notifies the user about these changes. In a design section I describe, what had to be done before implementation and I also describe technologies used in application. The next part of text named Implementace considers implementation of application parts. Implementation has been done using Java language and libraries dom4, systray4j. Application also uses XML technology and Apache Ant application for compiling and running.
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Detection and Recognition of Dominant Face Features
Švábek, Hynek ; Láník, Aleš (referee) ; Chmelař, Petr (advisor)
This thesis deals with the increasingly developing field of biometric systems which is the identification of faces. The thesis deals with the possibilities of face localization in pictures and their normalization, which is necessary due to external influences and the influence of different scanning techniques. It describes various techniques of localization of dominant features of the face such as eyes, mouth or nose. Not least, it describes different approaches to the identification of faces. Furthermore a it deals with an implementation of the Dominant Face Features Recognition application, which demonstrates chosen methods for localization of the dominant features (Hough Transform for Circles, localization of mouth using the location of the eyes) and for identification of a face (Linear Discriminant Analysis, Kernel Discriminant Analysis). The last part of the thesis contains a summary of achieved results and a discussion.
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