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Biometric Recognition of 3D Faces
Mráček, Štěpán ; Drahanský, Martin (referee) ; Dvořák, Radim (advisor)
Diplomová práce byla vypracována na studijním pobytu na "Gjovik University College" v Norsku, a je zpracována v angličtině. Tato práce se zabývá rozpoznáváním 3D obličejů. Je zde popsán obecný biometrický systém a také konkrétní postupy používané při rozpoznávání 2D i 3D obličejů. Následně je navžena metoda pro rozpoznávání 3D obličejů. Algoritmus je vyvíjen a testován pomocí databáze Face Recognition Grand Challenge (FRGC). Během předzpracování jsou nalezeny význačné body v obličeji a následně je trojrozměrný model zarovnán do referenční polohy. Dále jsou vstupní data porovnávána s biometrickými šablonami uloženými v databázi, a to je zajištěno využitím tří základních technik pro rozpoznávání obličejů -- metoda eigenface (PCA), rozpoznávání založené na histogramu obličeje a rozpoznávání založené na anatomických rysech. Nakonec jsou jednotlivé metody spojeny do jednoho systému, jehož celková výsledná výkonnost převyšuje výkonnost jednotlivých použitých technik.
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Social Network from Photo Gallery
Polesný, Ondřej ; Přibyl, Bronislav (referee) ; Mlích, Jozef (advisor)
This thesis deals with recognition of persons and their relationships from static images and presents ways in which these information can be used. That includes methods for detection and recognition of faces, presentation of photos in web-based gallery and methods for recognition of relationships between photographed persons. Part of this thesis is evaluation of the results, both in terms of program success in automated operations by establishing a set of test data with known relationships between people, and in terms of efficiency and functionality of the system for end users.
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Neural Network Based Face Localization
Hendrych, Pavel ; Šiler, Ondřej (referee) ; Švub, Miroslav (advisor)
This thesis issues with possible methods for face detection and localization according to the state of the art. It describes various approaches and it is aimed at localization by neural networks and at necessary operations that have to be done before localization and after that for correct results representation. This project contains implementation of few approaches to neural netwok based face localization with emphasis on eigenfaces based face localization as well as implementation of simple classifier using distance of reconstructed face to the original one. Detailed description of implemented system, achieved results and dependecy of system performance on it's inner settings is also provided.
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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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Human Face Recognition
Burián, Pavel ; Ševcovic, Jiří (referee) ; Herout, Adam (advisor)
The bachelor thesis deals with the problematic of the human face recognition in an image. It describes the face detection principles, methods used in recognition problematic and existing face data sets. Thesis is aimed on analysis, comparison and testing of the eigenface, fisherface and KDDA (Kernel Direct Discriminant Analysis) algorithms.
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Face Recognition in Social Networks
Mach, Pavel ; Skopal, Tomáš (advisor) ; Kolomazník, Jan (referee)
Popularity of face recognition in image galleries and social networks is growing. But none of these real world applications let the user adjust parameters. The goal of this thesis is to develop a library for face detection and recognition which can be easily used in some other program and also a web application recognizing faces, with environment similar to the one of social networks, which uses the library. Of course we do not try to compete with big social networks in the field of face recognition, because it will be almost impossible due to their enormous databases. In the experimental part of the work we try to find most suitable parameters such that face detection and face recognition would be as accurate as possible.
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Human Face Recognition
Burián, Pavel ; Ševcovic, Jiří (referee) ; Herout, Adam (advisor)
The bachelor thesis deals with the problematic of the human face recognition in an image. It describes the face detection principles, methods used in recognition problematic and existing face data sets. Thesis is aimed on analysis, comparison and testing of the eigenface, fisherface and KDDA (Kernel Direct Discriminant Analysis) algorithms.
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Social Network from Photo Gallery
Polesný, Ondřej ; Přibyl, Bronislav (referee) ; Mlích, Jozef (advisor)
This thesis deals with recognition of persons and their relationships from static images and presents ways in which these information can be used. That includes methods for detection and recognition of faces, presentation of photos in web-based gallery and methods for recognition of relationships between photographed persons. Part of this thesis is evaluation of the results, both in terms of program success in automated operations by establishing a set of test data with known relationships between people, and in terms of efficiency and functionality of the system for end users.
|
|
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Biometric Recognition of 3D Faces
Mráček, Štěpán ; Drahanský, Martin (referee) ; Dvořák, Radim (advisor)
Diplomová práce byla vypracována na studijním pobytu na "Gjovik University College" v Norsku, a je zpracována v angličtině. Tato práce se zabývá rozpoznáváním 3D obličejů. Je zde popsán obecný biometrický systém a také konkrétní postupy používané při rozpoznávání 2D i 3D obličejů. Následně je navžena metoda pro rozpoznávání 3D obličejů. Algoritmus je vyvíjen a testován pomocí databáze Face Recognition Grand Challenge (FRGC). Během předzpracování jsou nalezeny význačné body v obličeji a následně je trojrozměrný model zarovnán do referenční polohy. Dále jsou vstupní data porovnávána s biometrickými šablonami uloženými v databázi, a to je zajištěno využitím tří základních technik pro rozpoznávání obličejů -- metoda eigenface (PCA), rozpoznávání založené na histogramu obličeje a rozpoznávání založené na anatomických rysech. Nakonec jsou jednotlivé metody spojeny do jednoho systému, jehož celková výsledná výkonnost převyšuje výkonnost jednotlivých použitých technik.
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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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