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Face recognition in digital images
Hauser, Václav ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
This master thesis deals with the detection and recognition of faces in the image. The content of this thesis is a description of methods that are used for the face detection and recognition. Method described in detail is the principal component analysis (PCA). This method is subsequently used in the implementation of face recognition in video sequence. In conjunction with the implementation work describes the OpenCV library package, which was used for implementation, specifically the C ++ API. Finally described application tests were done on two different video sequences.
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Face Recognition
Vojáček, Cyril ; Chrápek, David (referee) ; Juránek, Roman (advisor)
This thesis is about face detection and recognition from video. Main emphasis is on computational speed, so it can be used for a real-time processing. Begining of this work focus on different approaches for detection and object recognition. Afterwards is explained the main principle of methods used for the final application. Next part is about design and implementation of this methods and conclusion is about the testing results of designed application.
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Face Recognition
Vojáček, Cyril ; Chrápek, David (referee) ; Juránek, Roman (advisor)
This thesis is about face detection and recognition from video. Main emphasis is on computational speed, so it can be used for a real-time processing. Begining of this work focus on different approaches for detection and object recognition. Afterwards is explained the main principle of methods used for the final application. Next part is about design and implementation of this methods and conclusion is about the testing results of designed application.
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Face recognition in digital images
Hauser, Václav ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
This master thesis deals with the detection and recognition of faces in the image. The content of this thesis is a description of methods that are used for the face detection and recognition. Method described in detail is the principal component analysis (PCA). This method is subsequently used in the implementation of face recognition in video sequence. In conjunction with the implementation work describes the OpenCV library package, which was used for implementation, specifically the C ++ API. Finally described application tests were done on two different video sequences.
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