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Delineation of ECG signals using phasor transform
Koupil, Michal ; Vítek, Martin (referee) ; Maršánová, Lucie (advisor)
TThis project deals with delineation of ECG signals using phasor transform. This method is rather new in the field of automatic delineation of ECG and it is not widely used in practice yet. In the theoretical part, the relation between heart activity and ECG is described. A phasor transform is also described. In the practical part, a program was implemented in the computing environment of MATLAB. Its purpose is to delineate the signals. At first, it detects waves’ peaks, then its beginning and starting points. In the next part, analysis of the results is done, as well as comparison with other authors. The testing was performed on the QT signals from the Physionet database.
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Design of a camera slider for shooting time-lapse shots with a focus on the object
Koupil, Michael ; Franke, Jakub (referee) ; Koutecký, Tomáš (advisor)
This Bachelor’s thesis deals with the constructional plan and implementation of the camera slider while using a 3D printer and Arduino platform. In theoretical part, there is an analysis of the commonly used camera sliders. Based on this analysis, several variations were prepared, and the most feasible constructional plan was chosen. In practical part, the aforementioned plan was worked out, safety calculations concerning selected nodes were made, as well as the mechanical drawing of the device. A prototype was then built and tested, whether it met all the requirements. The suggested device fulfils all the objectives of the Bachelor’s thesis.
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Biometrics using Face Recognition
Koupil, Michal ; Mézl, Martin (referee) ; Odstrčilík, Jan (advisor)
This work is focused on a face detection in a picture and subsequent recognition of the face in its respective database. Face detection had been implemented using Viola-Jones algorithm. To recognize the face afterwards, PCA (Principal Component Analysis) a LBPH (Local Binary Pattern Histograms) had been used. Implemented algorithm had been tested on freely accesible biometric databases. Overall success rate of face detection was 93,4 %. Overall success rate of face recognition using PCA was 88,1 % and with LBPH it was 93,1 %. Of the two methods for face recognition, LBPH method has better ability to perform recognition with data, that do not possess ideal parameters for biometrics. With data suitable for biometrics, both of the methods perform well, with PCA being faster.
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Model of a matting spray for 3D scanning for coating thickness prediction
Koupil, Michael ; Mendřický, Radomír (referee) ; Koutecký, Tomáš (advisor)
This master's thesis deals with the design of a method for measuring dimensional parameters of layers applied by a spray gun, followed by the design of a computational model capable of calculating the ideal trajectory dimensions to achieve the most consistent layer thickness, which can predict this thickness at any point. Another goal is to verify the functionality and quality of the simulation of the computational model through a comparative experiment. A method for measuring the thickness of the applied matting layer was proposed. Dependences of the thickness of the applied layer on the movement speed of the spray gun and the nozzle distance from the misted surface were determined. A mathematical model was designed to calculate the deposition thickness at a specific point on the trajectory, allowing for application along general trajectories. A mathematical model for simulation of the application process was proposed. The computational model allows for the choice between automatic calculation of ideal parameters and manual adjustment of custom parameters.
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Biometrics using face recognition
Koupil, M. ; Odstrčilík, J.
This paper is focused on a face detection in a picture and subsequent recognition of the face in its respective database. Face detection had been implemented using Viola-Jones algorithm. To recognize the face afterwards, PCA had been used. Implemented algorithm had been tested on freely accessible biometric databases.
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Biometrics using Face Recognition
Koupil, Michal ; Mézl, Martin (referee) ; Odstrčilík, Jan (advisor)
This work is focused on a face detection in a picture and subsequent recognition of the face in its respective database. Face detection had been implemented using Viola-Jones algorithm. To recognize the face afterwards, PCA (Principal Component Analysis) a LBPH (Local Binary Pattern Histograms) had been used. Implemented algorithm had been tested on freely accesible biometric databases. Overall success rate of face detection was 93,4 %. Overall success rate of face recognition using PCA was 88,1 % and with LBPH it was 93,1 %. Of the two methods for face recognition, LBPH method has better ability to perform recognition with data, that do not possess ideal parameters for biometrics. With data suitable for biometrics, both of the methods perform well, with PCA being faster.
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Design of a camera slider for shooting time-lapse shots with a focus on the object
Koupil, Michael ; Franke, Jakub (referee) ; Koutecký, Tomáš (advisor)
This Bachelor’s thesis deals with the constructional plan and implementation of the camera slider while using a 3D printer and Arduino platform. In theoretical part, there is an analysis of the commonly used camera sliders. Based on this analysis, several variations were prepared, and the most feasible constructional plan was chosen. In practical part, the aforementioned plan was worked out, safety calculations concerning selected nodes were made, as well as the mechanical drawing of the device. A prototype was then built and tested, whether it met all the requirements. The suggested device fulfils all the objectives of the Bachelor’s thesis.
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Delineation of ECG signals using phasor transform
Koupil, Michal ; Vítek, Martin (referee) ; Maršánová, Lucie (advisor)
TThis project deals with delineation of ECG signals using phasor transform. This method is rather new in the field of automatic delineation of ECG and it is not widely used in practice yet. In the theoretical part, the relation between heart activity and ECG is described. A phasor transform is also described. In the practical part, a program was implemented in the computing environment of MATLAB. Its purpose is to delineate the signals. At first, it detects waves’ peaks, then its beginning and starting points. In the next part, analysis of the results is done, as well as comparison with other authors. The testing was performed on the QT signals from the Physionet database.
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