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Analysis of Facial Development Based on Anthropometric Properties
Oravec, Dávid ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
This bachelor thesis deals with anthropometry of human face, anthropometric landmarks, which are used to determine the distances and various relations between them. Our body is aging and consequently the position of anthropometric points is changing. The aim of this work is to determine anthropometric landmarks from photo of the human face and then to analyze the given face and how it develops over time. The model for facial landmark detection was trained and selected points which will be used to determine facial indices were chosen. Indices are used to find out how the face is evolving over time. Based on experiments we observe how the faces of men and women are changing over time.
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Face Liveness Detection Using a 2D Camera
Valo, Ondrej ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
Facial recognition is one of the most socially accepted forms of biometric recognition. The recent availability of highly accurate and efficient face recognition algorithms leaves vulnerability to presentation attacks as a major challenge for face recognition solutions. This work deals with the explanation of the issues related to the detection of facial liveliness, which will help to understand the various possibilities of attack and their relationship to existing solutions. And the implementation of an algorithm that recognizes the liveliness of the face based on videos.
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Analysis of Facial Development Based on Anthropometric Properties
Oravec, Dávid ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
This bachelor thesis deals with anthropometry of human face, anthropometric landmarks, which are used to determine the distances and various relations between them. Our body is aging and consequently the position of anthropometric points is changing. The aim of this work is to determine anthropometric landmarks from photo of the human face and then to analyze the given face and how it develops over time. The model for facial landmark detection was trained and selected points which will be used to determine facial indices were chosen. Indices are used to find out how the face is evolving over time. Based on experiments we observe how the faces of men and women are changing over time.
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|
|
Face Liveness Detection Using a 2D Camera
Valo, Ondrej ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
Facial recognition is one of the most socially accepted forms of biometric recognition. The recent availability of highly accurate and efficient face recognition algorithms leaves vulnerability to presentation attacks as a major challenge for face recognition solutions. This work deals with the explanation of the issues related to the detection of facial liveliness, which will help to understand the various possibilities of attack and their relationship to existing solutions. And the implementation of an algorithm that recognizes the liveliness of the face based on videos.
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