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Projected User Interface - Card Game
Brestič, Tomáš ; Kapinus, Michal (referee) ; Najman, Pavel (advisor)
Current effort to make human-computer interaction more intuitive leads to utilization of gestures replacing the need to use a conventional input device. At the same time there is a tendency to integrate the output into the physical world around the user and therefore to minimize any artificial means of interaction in general. The aim of this thesis is to implement a card game that can be controlled on the basis of the principles described above. Fundamental issues are human motion tracking, hand detection and gesture recognition. The application uses depth data from the second generation of Kinect sensor, analytical description of gestures and allows up to four players to play the game. Its graphics are projected on the table to maximize compliance with the real situation.
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Projected User Interface - Board Game
Kaisler, Vojtěch ; Kapinus, Michal (referee) ; Najman, Pavel (advisor)
The thesis brings a project and an implementation of an interactive board game. The implementation can be divided into a detection part and a projection part. Detection, realized by an infra-red camera, serves as a means for recording players' responses. The players interact with the game through simple hand gestures. Projection screens a game plan, which includes the players' figures, on the table with the help of a data projector. The game chosen for projection is a role-playing game Dungeons & Dragons.
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Simple Gesture Recognition
Verner, Jan ; Beran, Vítězslav (referee) ; Potúček, Igor (advisor)
This bachelor thesis describes usability of DTW algorithm and it's variants for simple hand gesture detection. It recapitulates actual situation and findings in branch of computer vision and aims on methods for hand gesture recognition and common description of DTW algorithm.
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User Hand Detection in Depth Data
Malík, Pavol ; Šimon, Martin (referee) ; Beran, Vítězslav (advisor)
The aim of this thesis is to detect hand of user above the interactive table and show its position with respect to the table. Used sensor was Kinect so the depth data approach was selected. The detection is realized using registration method SAC-IA, which works on the template matching principle. Thesis deals with existing solutions of hand detection as well as procedure used in this work. Dataset was defined, containing hand templates and testing scenes, from which the classifier was evaluated. Final testing was performed on more than a hundred objects and the success rate reached 82 %.
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Projected User Interface - Dungeons & Dragons
Dymáček, Petr ; Kapinus, Michal (referee) ; Najman, Pavel (advisor)
This thesis deals with the using of an interactive table for playing Dungeons & Dragons board game. Application, that was made, is controlled by touch screen and gestures. The gestures are detected from depth data captured by Kinect. The work solves calibrations of input devices and the design of the user interface appropriate for the application.
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Projected User Interface - Board Game
Vizina, Petr ; Najman, Pavel (referee) ; Zahrádka, Jiří (advisor)
This paper deals with study of possibilities and use of projected user interfaces, which are based on a camera-projector system. The purpose is to create functional application, that using projector to display user interface of application and camera for capturing user interaction with the projected interface. Created application is supposed to be a simulation of board game called "Mill". The result is a functional application of board game, that utilizes tools for calibration of the camera-projector system with physical calibration pattern and hand detection in captured scene.
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Computer vision and hand gestures detection and fingers tracking
Bravenec, Tomáš ; Wyrzykowski, Roman (referee) ; Frýza, Tomáš (advisor)
Diplomová práce je zaměřena na detekci a rozpoznání gest rukou a prstů ve statických obrazech i video sekvencích. Práce obsahuje shrnutí několika různých přístupů k samotné detekci a také jejich výhody i nevýhody. V práci je též obsažena realizace multiplatformní aplikace napsané v Pythonu s použitím knihoven OpenCV a PyTorch, která dokáže zobrazit vybraný obraz nebo přehrát video se zvýrazněním rozpoznaných gest.
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Image processing GUI in AR glasses
Sušovský, Ondřej ; Honec, Peter (referee) ; Janáková, Ilona (advisor)
This thesis discusses AR systems, especially systems made with VR headsets, and an issue of controlling them. As a part of this thesis, application, that demonstrates the control of the AR system through the hand detected in the user’s view, was created. This application offers preliminary analysis of a scene chosen by the user. Preliminary analysis consists of basic preprocessing and segmentation operations.
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Hand Detection In Static Images, Video Sequences And Real Time Camera Feed
Bravenec, Tomáš
The goal of this project is to create a computer vision system capable of hand detection in static images and in video sequence either from existing recording or real time feed from connected camera. Algorithms commonly used for hand detection are mostly dependent on simple background and are very dependent on the lightning changes. To mostly eliminate these issues this project uses deep convolutional neural network trained for hand detection.
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