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Analysis of Facial Development Based on Anthropometric Properties
Oravec, Dávid ; Drahanský, Martin (oponent) ; Goldmann, Tomáš (vedoucí práce)
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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Urban Element Detection Using Satellite Imagery
Oravec, Dávid ; Herout, Adam (oponent) ; Zlámal, Adam (vedoucí práce)
This thesis focuses on the right detection of objects in satellite imagery using convolutional neural networks. The goal of the thesis is to detect swimming pools and tennis courts in satellite imagery from different cities using the trained model. The model works with data from 10 different cities. The RetinaNet neural network model and Detectron2 library were used for development. The final trained model can detect objects with the average precision (AP50) at the level of 63.402 %. The thesis can be useful in the field of automating the acquisition of land surface statistics.
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Analysis of Facial Development Based on Anthropometric Properties
Oravec, Dávid ; Drahanský, Martin (oponent) ; Goldmann, Tomáš (vedoucí práce)
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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Urban Element Detection Using Satellite Imagery
Oravec, Dávid ; Herout, Adam (oponent) ; Zlámal, Adam (vedoucí práce)
This thesis focuses on the right detection of objects in satellite imagery using convolutional neural networks. The goal of the thesis is to detect swimming pools and tennis courts in satellite imagery from different cities using the trained model. The model works with data from 10 different cities. The RetinaNet neural network model and Detectron2 library were used for development. The final trained model can detect objects with the average precision (AP50) at the level of 63.402 %. The thesis can be useful in the field of automating the acquisition of land surface statistics.
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