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Face recognitions in images
Krhut, Miloš ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
The master thesis deals with the topic of detecting faces in digital images. There are generally described and classified the most frequently used methods and discussed their advantages and disadvantages. More detailed is described skin color detection, eye and mouth detection and are teoretically described machine learning algorithms and detection based on Haar-classifiers. The work aims to implementation of these methods in the OpenCV library, it refers to practical application of them a finally compares different provided trained files.
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Design and Implementation of a Family Photo Management Web Application
Macháč, Jan ; Kindlová, Dita (referee) ; Dydowicz, Petr (advisor)
This thesis focuses on the design and development of a web application that offers help in managing family photographic material, with the emphasis on data integrity and security, and maximum transparency when handling personal information. The application will be usable on any device with a screen, web browser and internet connection. One of its key features will be face detection on uploaded photographs.
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Advanced Detection of Human Face
Koníček, Igor ; Juránek, Roman (referee) ; Herout, Adam (advisor)
With detection, localization and pose estimation of face was used to deal as three different tasks. This thesis works with algorithms which unify this tasks into one algorithm. To solve this problem histograms of oriented gradients connected in tree based structure are used. First part of work briefly informs about methods used for face detection. Aim of this work is to experiment with given algorithms and discover their quality for face detection and glasses detection.
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Masked face detection
Malý, Ondřej ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
The aim of this work is to study and test current methods for face detection on veiled faces and evaluate the results. In the first chapter, five selected methods are theoretically analyzed and in the second chapter the individual methods are evaluated, both for the Wider Face file and for the actual set of photos with veiled faces. Subsequently, the Dlib CNN method is improved for better detection of veiled faces and reprogrammed to detect the degree of veil from the tested image
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Face-Swap Camera for Android
Škorňok, Petr ; Páldy, Alexander (referee) ; Szentandrási, István (advisor)
The aim of this thesis is to explore existing possibilities of face detection on mobile devices supporting operating system Android and based on these findings create a face swap application with the input from the camera. The overall application is designed with an effort to reach the highest speed possible while processing the images. Implementation is tested from the view of the user and also from the point of program's speed and functionality.
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Eye blink detection and recognition
Tesárek, Viktor ; Míča, Ivan (referee) ; Vlach, Jan (advisor)
This master thesis deals with the issues of the eye blink recognition from video. The main task is to analyse algorithms dealing with a detection of persons and make a program that could recognize the eye blink. Analysis of these algorithms and their problems are in the first part of this thesis. In the second part design and properties of my program are described. The realization of the program is based on the method of move detection using the accumulated difference frame, which helps to identify the eye areas. The eye blink detection algorithm tests a match between a tresholded pattern of the eye area taken from the actual frame and the frame before. The resolution whether the eye blink happened or not, is based on the level of the match. The algorithm is designed for watching a sitting man, which is slightly moving. The background can be a little dynamic as well. An average quality video with a moderator and dynamic backround was used as a tested subject.
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Face recognition
Škrobák, Dalibor ; Číka, Petr (referee) ; Kyselý, František (advisor)
This thesis is focused on face detection in static picture. Theoretical part contains color spaces (RGB, HSI, YCbCr), methods for skin detection (explicit, parametric or non-parametric methods), image metric, edge detection, mathematical morphology, methods for classification faces (appearance-based methods, feature invariant approaches, knowledge-based methods, template matching methods). Practical part of this thesis contains concept and practical realization two algorithms for segmentation skin in static image (simple method based on Cr chroma components and statistical method). Practical part contains concept and practical realization two algorithms for classification face (appearance-based method and template matching method) too.
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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 detection system
Karásek, Miroslav ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This work deals with methods of computer vision for localization faces in an image segmentation of individual parts of face and its comparison with the face in the reference frame. The paper gives a brief overview of biometric methods useful to identify people. It describes the various methods of locating faces in images and their features. It also deals with the editing of digital images, with the design of my own methods of localization and verification of faces and the subsequent implementation of these methods.
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