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Image processing using Android device
Korchakov, Sergei ; Richter, Miloslav (referee) ; Honec, Peter (advisor)
This master’s Thesis focuses on image processing on Android platform and development of an application, that is able to do face detection and recognition in real scene. Thesis gives highlight of modern algorithms of face detection. It first examines and compares the standard features of Android platform (FaceDetector a FaceDetectionListener) and JJIL, OpenIMAJ, OpenCV libraries experiment, and presents the results. For purposes of face recognition was selected OpenCV library. Three different algorithms of identification were tested: FisherFaces, EigenFaces a Local Binary Patterns Histograms. Based on performance comparison best methods were implemented in developed application.
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Control of Lego Mindsorms
Chudík, Vladimír ; Pikula, Stanislav (referee) ; Klusáček, Jan (advisor)
This bachelor’s thesis contains description and usage of module BrickPi in combination with single-board computer Raspberry Pi, as a replacement for control brick from Lego Mindstorms. In the first part of the thesis are described and compared control brick from Lego Mindstorms and Raspberry Pi with module BrickPi. Mentioned are power options for the system and differences between variants of the module. Further is described the concept of remote control by www browser, possibility of displaying data from sensors, streaming video to webpage and form of communication between user and server. In the final part of this thesis are designed tasks for BROB course, which use module BrickPi. One task is realised and provided with documentation.
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Control of Lego Mindsorms
Chudík, Vladimír ; Pikula, Stanislav (referee) ; Klusáček, Jan (advisor)
This bachelor’s thesis contains description and usage of module BrickPi in combination with single-board computer Raspberry Pi, as a replacement for control brick from Lego Mindstorms. In the first part of the thesis are described and compared control brick from Lego Mindstorms and Raspberry Pi with module BrickPi. Mentioned are power options for the system and differences between variants of the module. Further is described the concept of remote control by www browser, possibility of displaying data from sensors, streaming video to webpage and form of communication between user and server. In the final part of this thesis are designed tasks for BROB course, which use module BrickPi. One task is realised and provided with documentation.
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Image processing using Android device
Korchakov, Sergei ; Richter, Miloslav (referee) ; Honec, Peter (advisor)
This master’s Thesis focuses on image processing on Android platform and development of an application, that is able to do face detection and recognition in real scene. Thesis gives highlight of modern algorithms of face detection. It first examines and compares the standard features of Android platform (FaceDetector a FaceDetectionListener) and JJIL, OpenIMAJ, OpenCV libraries experiment, and presents the results. For purposes of face recognition was selected OpenCV library. Three different algorithms of identification were tested: FisherFaces, EigenFaces a Local Binary Patterns Histograms. Based on performance comparison best methods were implemented in developed application.
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