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Person Identification
Svědiroh, Stanislav ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This thesis focuses on the person identification based on faces. The aim is to create a working solution of person identification for the authentication purposes utilizing the Microsoft Kinect v2 sensor. It contains a summary of the most used algorithms for facial data description and their comparison. Thesis also proposes a PC program that controls the sensor and collects the facial data, saves them, manages keypoint detection and their comparison.
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Face Detection and Identification
Konôpková, Júlia ; Drahanský, Martin (referee) ; Váňa, Jan (advisor)
This work is focused on the problematic of face detection and identification in photography. The introduction is devoted to the most popular methods with briefly descriptions of their principles and rules. Within the practical part of this work we implement and test on free available databases the several of these methods. In the conclusion we evaluate the results and addition of this whole work.
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Face Identification
Částek, Petr ; Jaša, Petr (referee) ; Chmelař, Petr (advisor)
This document is trying to introduce the reader with issues of identifying the face connected with miscellaneous scanning technologies and enviroments. Inside this document there are mentioned some possibilities of creation unique print of a face so that there would be denied unwanted effects of enviroment and the identification of persons would be possible.
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Face Identification
Macenauer, Oto ; Drozd, Michal (referee) ; Chmelař, Petr (advisor)
This document introduces the reader to area of face recognition. Miscellaneous methods are mentioned and categorized to be able to understand the process of face recognition. Main focus of this document is on issues of current face recognition and possibilities do solve these inconveniences in order to be able to massively spread face recognition. The second part of this work is focused on implementation of selected methods, which are Linear Discriminant Analysis and Principal Component Analysis. Those methods are compared to each other and results are given at the end of work.
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Face Identification on Android Platform
Karhánek, Martin ; Řezníček, Ivo (referee) ; Láník, Aleš (advisor)
This work describes ways to use a person identification based on faces on mobile devices with Android platform. A reader is introduced into a structure of this system and a way to create applications for it. Besides, there are also methods usable to the face identification. Some of these methods (used in an implementation) are described in more detail. This work also contains a description of model AAM (Active Appearance Model) for implementing in mobile devices and evaluation of used algorithms results.
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From the facial reconstruction based on the skull to the identification of the individual: demands, principles, problems
Moštková, Miroslava ; Brůžek, Jaroslav (advisor) ; Blažek, Vladimír (referee)
Facial reconstruction based on the skull is a technique allowing recreation of the original facial features of an individual. However, recreation of the exact look is nearly impossible at this time. Facial reconstruction is used during archaeological research or during investigation of forensic cases. The facial reconstruction methods used are morphoscopic, morphometric, or a combination of the two. They are used during a manual and computerized process to create two dimensional or three-dimensional reconstruction of the individual. Accuracy and reliability can be determined with each one of these methods by quantitative and qualitative measurements. Reliability and accuracy of the facial reconstruction should also be considered from a view of the facial perception. The human face is perceived in a holistic-analytical way which is based on a calculation of the distances between different features. Facial reconstruction is based on the recognition of familiar faces that are perceived on the basis of internal features that are not influenced by differences in the view angle or expression. Unfamiliar faces are perceived on the basis of from external features. Faces with significant facial features are identified faster. Facial features can be organized by the significance of their influence for recognition of...
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Person Identification
Svědiroh, Stanislav ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This thesis focuses on the person identification based on faces. The aim is to create a working solution of person identification for the authentication purposes utilizing the Microsoft Kinect v2 sensor. It contains a summary of the most used algorithms for facial data description and their comparison. Thesis also proposes a PC program that controls the sensor and collects the facial data, saves them, manages keypoint detection and their comparison.
|
|
|
From the facial reconstruction based on the skull to the identification of the individual: demands, principles, problems
Moštková, Miroslava ; Brůžek, Jaroslav (advisor) ; Blažek, Vladimír (referee)
Facial reconstruction based on the skull is a technique allowing recreation of the original facial features of an individual. However, recreation of the exact look is nearly impossible at this time. Facial reconstruction is used during archaeological research or during investigation of forensic cases. The facial reconstruction methods used are morphoscopic, morphometric, or a combination of the two. They are used during a manual and computerized process to create two dimensional or three-dimensional reconstruction of the individual. Accuracy and reliability can be determined with each one of these methods by quantitative and qualitative measurements. Reliability and accuracy of the facial reconstruction should also be considered from a view of the facial perception. The human face is perceived in a holistic-analytical way which is based on a calculation of the distances between different features. Facial reconstruction is based on the recognition of familiar faces that are perceived on the basis of internal features that are not influenced by differences in the view angle or expression. Unfamiliar faces are perceived on the basis of from external features. Faces with significant facial features are identified faster. Facial features can be organized by the significance of their influence for recognition of...
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|
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Face Detection and Identification
Konôpková, Júlia ; Drahanský, Martin (referee) ; Váňa, Jan (advisor)
This work is focused on the problematic of face detection and identification in photography. The introduction is devoted to the most popular methods with briefly descriptions of their principles and rules. Within the practical part of this work we implement and test on free available databases the several of these methods. In the conclusion we evaluate the results and addition of this whole work.
|
|
|
Face Identification
Macenauer, Oto ; Drozd, Michal (referee) ; Chmelař, Petr (advisor)
This document introduces the reader to area of face recognition. Miscellaneous methods are mentioned and categorized to be able to understand the process of face recognition. Main focus of this document is on issues of current face recognition and possibilities do solve these inconveniences in order to be able to massively spread face recognition. The second part of this work is focused on implementation of selected methods, which are Linear Discriminant Analysis and Principal Component Analysis. Those methods are compared to each other and results are given at the end of work.
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