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Traffic Signs Detection
Ťapuška, Tomáš ; Beran, Vítězslav (referee) ; Hradiš, Michal (advisor)
This bachelor's thesis is about traffic sign detection in picture. There are written some known methods, their advantages and disadvantages. There is present implementation of the system for traffic sign detection. There are present in the last chapter some tests that were done on the system with using testing set, which was created specialy for this purpose.
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Person Identification
Ťapuška, Tomáš ; Zuzaňák, Jiří (referee) ; Hradiš, Michal (advisor)
This master's thesis is about the most known methods for face recognition. There are described their advantages and disadvantages. This work is specialized at holistic methods for face recognition, which are working with 2D pictures of people. I implemented the automatic system for face recognition according to digital picture of face. There was, in this system, implemented these methods: KNN (K nearest neighbour), PCA (Principal component analysis) and LDP (Linear doscriminant projection). There was done some tests to compare implemented methods. The tests was done on the pictures from dataset FERET. In the conclusion of this text are considered implemented approaches and is marked the best method for face recognition from implemented.
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Traffic Signs Detection
Ťapuška, Tomáš ; Beran, Vítězslav (referee) ; Hradiš, Michal (advisor)
This bachelor's thesis is about traffic sign detection in picture. There are written some known methods, their advantages and disadvantages. There is present implementation of the system for traffic sign detection. There are present in the last chapter some tests that were done on the system with using testing set, which was created specialy for this purpose.
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|
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Person Identification
Ťapuška, Tomáš ; Zuzaňák, Jiří (referee) ; Hradiš, Michal (advisor)
This master's thesis is about the most known methods for face recognition. There are described their advantages and disadvantages. This work is specialized at holistic methods for face recognition, which are working with 2D pictures of people. I implemented the automatic system for face recognition according to digital picture of face. There was, in this system, implemented these methods: KNN (K nearest neighbour), PCA (Principal component analysis) and LDP (Linear doscriminant projection). There was done some tests to compare implemented methods. The tests was done on the pictures from dataset FERET. In the conclusion of this text are considered implemented approaches and is marked the best method for face recognition from implemented.
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