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Relationship between perceptual and structural variation of human faces: cross-cultural comparison
Pavlovič, Ondřej
ONDŘEJ PAVLOVIČ RELATIONSHIP BETWEEN PERCEPTUAL AND STRUCTURAL VARIATION OF HUMAN FACES: CROSS- CULTURAL COMPARISON ABSTRAKT The perception of facial features is a fundamental aspect of human culture, influencing daily interactions and relationships. This thesis explores the cross-cultural dynamics of facial perception. First, the theoretical introduction establishes the centrality of facial perception across cultures. Empirical studies included in this thesis elucidate the convergence and divergence of attractiveness standards among cultures. Additionally, this thesis explores the interplay between facial shape dimorphism, color dimorphism, and typicality across a wide variety of populations. The context of Vietnamese immigrants in the Czech Republic offers a unique lens to study the impact of the sociocultural environment on facial perception and preferences. By analyzing attractiveness assessments provided by Czech Europeans, Czech Vietnamese, and Asian Vietnamese raters for Czech and Vietnamese faces, the studies included in this thesis further elucidate the convergence and divergence of attractiveness standards across these groups. The results of these studies underscore the role of facial averageness as a universally significant trait in attractiveness judgments. Studies added to the appendix explore...
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Detection of face parts in the thermographic spectrum
Šujan, Miroslav ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
Master´s thesis deals with current problems of face detection and its parts in the infrared thermographic spectrum. Most previously published literature deals with the detection in the visible spectrum, making the thermographic detection range an interesting alternative. The work deals with the processing of image signals, images and faces in thermographic spectrum, selected methods of face detection and its parts and also deals with practical system design for detecting facial parts in this spectrum and its subsequent testing.
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Face detection and recognition with use of Raspberry Pi
Rozhoňová, Andrea ; Mézl, Martin (referee) ; Hesko, Branislav (advisor)
The following bachelor thesis is focused on the face detection and recognition in an image. The theoretical part divides methods of detection and recognition into several groups and there is better description and explanation of these methods in this part. At the end of the theoretical part is summarized the current utilization of person recognition on the bases of its face in practice. In the practical part is first implemented method for face detection. It is combination of two approaches - approach using haar features and approach using templates of eye. The face recognition is provided by the convolutional neural network. In conclusion there are summarized principles and problems associated with implementation on microcomputer Raspberry Pi and there is also evaluated the success of implemented methods.
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Face detection and recognition methods
Zbranek, Miroslav ; Horák, Karel (referee) ; Honec, Peter (advisor)
The aim of this diploma thesis is to explore methods of face detection and recognition in the picture. The method for face detection and the method for face recognition will be chosen according to literature survey. Both methods will be implemented using the OpenCV library and a program language C/C++. The result of this project is creation of graphic interface which use programmed function for face detection and recognition from a picture and also a camcorder.
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3D Face Reconstruction Based on 2D Image
Karhánek, Martin ; Láník, Aleš (referee) ; Částek, Petr (advisor)
This work deals with procedures that enables you reconstruct 3D face from a 2D picture. It describes ways to analyze an input picture, such as a face and facial features localization, on which this reconstruction builds. A reader is getting into a morphable model, its creation from static database data and and its usage on a reconstruction, more detailed later on, this morphable model is a building block of mentioned methods. This work contains also an algorithm implementation based on this model.
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Biometric Gateway Using Camera to Identify People
Jelen, Vilém ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
Biometric gateways are used to quickly and accurately identify people. Of the biometric characteristics, iris, face and fingerprints are commonly used. By combining them, better identification results can be achieved. The aim of this thesis is to create such a biometric gateway together with the control application. A combination of iris of both eyes and face is used, which is captured by cameras from three angles to increase accuracy. Neural networks are used to detect and extract face features. Iris recognition is realized using Daugman's algorithm.
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Application of Modern Technologies on Production Concept of 3D Face Model
Obytová, Eliška ; Kouřil, Karel (referee) ; Sedlák, Josef (advisor)
Bachelor thesis deals with realization of 3D face model using modern methods, including Reverse Engineering and Rapid Prototyping. The bachelor thesis explains in detail the basic concepts that are important for the understanding of the issue. In the practical part, the bachelor thesis describes in detail the process by which the face was made. Readers familiarize with the process of face digitization, scanning and subsequent printing on the uPrint 3D printer.
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Descriptor for Identification of a Person by the Face
Coufal, Tomáš ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
Thesis provides an overview and discussion of current findings in the field of biometrics. In particular, it focuses on facial recognition subject. Special attention is payed to convolutional neural networks and capsule networks. Thesis then lists current approaches and state-of-the-art implementations. Based on these findings it provides insight into engineering a very own solution based of CapsNet architecture. Moreover, thesis discussed advantages and capabilitied of capsule neural networks for identification of a person by its face.
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Facial features recognition of unknown persons
Bartončík, Michal ; Babinec, Tomáš (referee) ; Horák, Karel (advisor)
This paper describes the various components and phases of the search and recognition of facial expressions of unknown persons. They are presented here as well as possible solutions and methods of addressing each phase of the project. My master’s thesis is designed to recognize facial expressions of unknown persons. For this thesis, I was lent industrial video camera, computer, and place in a laboratory. Furthermore, we introduce the color spaces and their use. From the lead representatives selects the most appropriate assistance for the use of Matlab and the proposed algorithm. After finding a suitable color space segments skin color in the image. The skin, however, surrounds the entire body and so need to be found, the separated parts of the image representing the color of skin, a face. Once you find a face is needed to find relevant points for the identification subsequent deformation to definition of facial expressions. We define here the actual muscle movements in different expressions.
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Face Recognition
Vojáček, Cyril ; Chrápek, David (referee) ; Juránek, Roman (advisor)
This thesis is about face detection and recognition from video. Main emphasis is on computational speed, so it can be used for a real-time processing. Begining of this work focus on different approaches for detection and object recognition. Afterwards is explained the main principle of methods used for the final application. Next part is about design and implementation of this methods and conclusion is about the testing results of designed application.
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