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Similarity Measure of Points of Interest in Image
Křehlík, Jan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This document deals with experimental verifying to use machine learning algorithms AdaBoost or WaldBoost to make classifier, that is able to find point in the second picture that matches original point in the first picture. This work also depicts finding points of interest in image as a first step of finding correspondence. Next there are described some descriptors of points of interest. Corresponding points could be useful for 3D modeling of shooted scene.
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Analysis of Fingerprint Spoofs Made from Various Materials
Sláma, Vladimír ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
The goal of the work is production of fingerprint spoofs from various materials and develop- ment of algorithm, that analyzes them. Production of fingerprint spoofs is based on casting using printed circuit board (PCB) and other molds. For fingerprint spoofs these materials were used: Herkules, plasticine, Funny gummy, wax, Moody putty and liquid latex. For analysis of the differencies between spoof and the real fingerprint Harris detector was used and then the difference score is counted based on points of interests found. Results are compared with evaluation from VeriFinger software, that can measure matching score of two fingerprints. In most of the cases, the results have same trends when compared.
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Analysis of Fingerprint Spoofs Made from Various Materials
Sláma, Vladimír ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
The goal of the work is production of fingerprint spoofs from various materials and develop- ment of algorithm, that analyzes them. Production of fingerprint spoofs is based on casting using printed circuit board (PCB) and other molds. For fingerprint spoofs these materials were used: Herkules, plasticine, Funny gummy, wax, Moody putty and liquid latex. For analysis of the differencies between spoof and the real fingerprint Harris detector was used and then the difference score is counted based on points of interests found. Results are compared with evaluation from VeriFinger software, that can measure matching score of two fingerprints. In most of the cases, the results have same trends when compared.
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Similarity Measure of Points of Interest in Image
Křehlík, Jan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This document deals with experimental verifying to use machine learning algorithms AdaBoost or WaldBoost to make classifier, that is able to find point in the second picture that matches original point in the first picture. This work also depicts finding points of interest in image as a first step of finding correspondence. Next there are described some descriptors of points of interest. Corresponding points could be useful for 3D modeling of shooted scene.
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