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Facial expression recognition
Vránová, Markéta ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This project deals with automatic recognition of facial expression in colour pictures. At first, the colour-based face detection is accomplished, three colour spaces are used: RGB, HSV and YCbcCr. As next, the pictures are automatically cropped so that only the face region is present. It is accomplished by computing the borders of the face region based on knowledge of position of eyes, nose and mouth. From the face region, the feature vector is obtained using a bank of Gabor filters. The project introduces two different kinds of Gabor filters and proposes a new bank of filters. The feature vector is used as an input to the neural network. The neural network was trained on a set of pictures from AR database created for facial expression recognition. The output of the network is the facial expression the input picture was assigned to. This project mentions the testing for different settings of the neural network and presents and discuss the recognition results of the network.
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User interface for Android system to control lung simulator
Vránová, Markéta ; Čmiel, Vratislav (referee) ; Sekora, Jiří (advisor)
This project deals with the creation of the control system of the lung simulator build in program LabVIEW. The Simulator is connected to the computer and controlled by using the LabVIEW application. The communication between LabVIEW and Android system is provided with the Internet, with the Web Service. The lung simulator is described in the project and the project includes also various solutions, how the simulator can be controlled. The selection of the best solution is justified by, and this solution is described in more detail. The connection of the application in LabVIEW to the Web Service is created and described.
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User interface for Android system to control lung simulator
Vránová, Markéta ; Čmiel, Vratislav (referee) ; Sekora, Jiří (advisor)
This project deals with the creation of the control system of the lung simulator build in program LabVIEW. The Simulator is connected to the computer and controlled by using the LabVIEW application. The communication between LabVIEW and Android system is provided with the Internet, with the Web Service. The lung simulator is described in the project and the project includes also various solutions, how the simulator can be controlled. The selection of the best solution is justified by, and this solution is described in more detail. The connection of the application in LabVIEW to the Web Service is created and described.
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Facial expression recognition
Vránová, Markéta ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This project deals with automatic recognition of facial expression in colour pictures. At first, the colour-based face detection is accomplished, three colour spaces are used: RGB, HSV and YCbcCr. As next, the pictures are automatically cropped so that only the face region is present. It is accomplished by computing the borders of the face region based on knowledge of position of eyes, nose and mouth. From the face region, the feature vector is obtained using a bank of Gabor filters. The project introduces two different kinds of Gabor filters and proposes a new bank of filters. The feature vector is used as an input to the neural network. The neural network was trained on a set of pictures from AR database created for facial expression recognition. The output of the network is the facial expression the input picture was assigned to. This project mentions the testing for different settings of the neural network and presents and discuss the recognition results of the network.
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