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Biometric Recognition of 3D Faces
Michálek, Martin ; Drahanský, Martin (referee) ; Mráček, Štěpán (advisor)
This thesis is about biometric 3D face recognition . A general biometric system as well as functioning of biometric system are present . Techniques used in 2D and 3D face recognition are described . Finally , an automatic biometric system for 3D face recognition is proposed and implemeted . This system divide face for areas by position of detected landmarks . Particular areas are compared separately . Final system fusion results from Eigenfaces and ARENA algorithms .
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Evaluation of blinking and the observed place on the monitor
Klimeš, Petr ; Jirgl, Miroslav (referee) ; Janáková, Ilona (advisor)
The purpose of this thesis is to create a system for user’s gaze and eye analysis in a driving simulator. There is a research of existing methods for facial landmark detection, head pose and gaze estimation and eye blink detection. Software and hardware of the simulator is described and a camera is added for user recording. In the main part, the Eye Aspect Ratio method is tested for blink detection. Next, head pose detection from facial landmarks is tested. Furthermore, Convolutional Neural Networks are created and trained for gaze estimation. From existing algorithms, OpenFace library is tested. OpenFace library is added to existing software in Unreal Engine and used for gaze and blink detection. A gaze calibration procedure is created and tested for better accuracy.
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Evaluation of blinking and the observed place on the monitor
Klimeš, Petr ; Jirgl, Miroslav (referee) ; Janáková, Ilona (advisor)
The purpose of this thesis is to create a system for user’s gaze and eye analysis in a driving simulator. There is a research of existing methods for facial landmark detection, head pose and gaze estimation and eye blink detection. Software and hardware of the simulator is described and a camera is added for user recording. In the main part, the Eye Aspect Ratio method is tested for blink detection. Next, head pose detection from facial landmarks is tested. Furthermore, Convolutional Neural Networks are created and trained for gaze estimation. From existing algorithms, OpenFace library is tested. OpenFace library is added to existing software in Unreal Engine and used for gaze and blink detection. A gaze calibration procedure is created and tested for better accuracy.
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Biometric Recognition of 3D Faces
Michálek, Martin ; Drahanský, Martin (referee) ; Mráček, Štěpán (advisor)
This thesis is about biometric 3D face recognition . A general biometric system as well as functioning of biometric system are present . Techniques used in 2D and 3D face recognition are described . Finally , an automatic biometric system for 3D face recognition is proposed and implemeted . This system divide face for areas by position of detected landmarks . Particular areas are compared separately . Final system fusion results from Eigenfaces and ARENA algorithms .
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