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Braille Reader
Fabík, Jiří ; Svoboda, Pavel (referee) ; Maršík, Lukáš (advisor)
This thesis deals with image processing, specifically scanned Braille documents. It is about recognition of Braille cells, followed by transferring to plain text. Braille dots are recognized on the basis of bright and dark parts, which are created during scanning. After connection to the characters, they are converted to plain text by means of the character set. It also locates positions of possible errors to make it easier to correct the final text.
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Image Object Rcognition Using Android Platform
Šimon, Martin ; Zahrádka, Jiří (referee) ; Zemčík, Pavel (advisor)
This thesis describes an object recognition issue in connection with the Android mobile platform. It analyzes existing methods and procedures from the field of the object recognition as well as previous solutions of a similar topic. It builds on these basics and proposes a handy application which aspires to become a powerful assistant during mushroom picking. It considers the target device, which is memory and power limited, during the design and implementation phase. The results are evaluated by several experiments including an user experience. The implementation of the application itself is a part of this thesis.
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Retrieval study of hands gestures recognizing methods captured with camera
Rybnikář, Petr ; Kroupa, Jiří (referee) ; Kovář, Jiří (advisor)
The aim of this bachelor thesis was to get acquainted with basis methods of of image processing, which can be used for recognizing hands gestures captured with camera. After that choose one method, describe it in detail and implement the method.In the first part of this theses few methods for image processing are described. In the second part Level set method is choosen and described in more detail, this method is later implemented in MATLAB R2019a. In the last chapter results of implementation are analyzed and evaluated.
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Object Recognition by Means of Evolutionary Methods
Lýsek, Jiří ; Škorpil, Vladislav (referee) ; Rábová, Ivana (referee) ; Šťastný, Jiří (advisor)
This thesis deals with usage of evolutionary methods, grammatical evolution particularly in application for object recognition in an image. Basic principles of object recognition and evolutionary methods with focus on grammatical evolution are described. The core of the thesis lies in design of techniques and methods for classifier programs creation using grammatical evolution. Also the designed fitness formula is presented. In the end, created testing and development environment in Java programming language is described.
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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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Game with Hand Gesture Control
Baštek, Jozef ; Žák, Pavel (referee) ; Hradiš, Michal (advisor)
This paper is intended for computer vision usage as a way of human-computer interacion. It covers design and implementation of interface for game controlling by hand gestures and movements, that are captured by camera. It describes and evaluates image segmentation algorithms (background subtraction, thresholding, Bayes' theorem, gaussian model) as well as hand gesture classification algorithms (knowledge-based classification, Hu invariant moments and K-nearest neighours). Implementation includes machanical contruction of camera holder and 3D FPS game as a interface usage demonstration.
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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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Smartphone Game Using Recognition of Face Features
Skoták, Jiří ; Szőke, Igor (referee) ; Herout, Adam (advisor)
This master's thesis focuses on smartphone game for iOS, which uses recognition of face features and other information, which can be obtained from a smartphone's camera and sensors. This work describes a few approaches for real-time face detection and then introduces and compares possibilities for such task on iOS. Moreover, the thesis contains a draft of the final game and its levels. The game showcases various technologies in its levels such as object detection, processing an image color and others. Finally, the thesis introduces the final form of the game that is released and available on the App Store.
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Recognition of Poses and Gestures
Jiřík, Leoš ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis inquires the existing methods on the field of image recognition with regards to gesture recognition. Some methods have been chosen for deeper study and these are to be discussed later on. The second part goes in for the concenpt of an algorithm that would be able of robust gesture recognition based on data acquired within the AMI and M4 projects. A new ways to achieve precise information on participants position are suggested along with dynamic data processing approaches toward recognition. As an alternative, recognition using Gaussian Mixture Models and periodicity analysis are brought in. The gesture class in focus are speech supporting gestures. The last part demonstrates the results and discusses future work.
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Simulation of a Golf Ball Trajectory from Video
Hlobil, Marek ; Ševcovic, Jiří (referee) ; Chmelař, Petr (advisor)
This work deals with the golf ball flight simulation based on video recordings. The way how to determine the trajectory of a golf ball using several initial points is described here. For the ball recognition there are used computer vision techniques, particulary pattern recognition. The work covers physics of the golf ball, it deals with physical influences that occurs during the ball flight and it tries to describe the trajectory approximation.
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