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Eye gaze tracking
Bastl, Petr ; Číp, Pavel (referee) ; Richter, Miloslav (advisor)
This thesis deals with the eye gaze tracking and determining the direction and the place of the view. The overview of methods for determining the view direction is provided here. The direct 3D gaze estimation technique is proposed and implemented. The eye gaze can be estimated by using a single camera and under nature head movement. This paper describes the algorithms for the image processing and the image description. The center of the pupil is determined by the genetic algorithm for the ellipse detection. The procedures of the instrumentation calibration are proposed here as well. The work also addresses the issue of the determining the eye location. Finally, the comparison of the accuracy with similar projects is mentioned in my thesis.
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Ellipse Detection
Hříbek, Petr ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.
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Ellipse Detection
Hříbek, Petr ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.
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Eye gaze tracking
Bastl, Petr ; Číp, Pavel (referee) ; Richter, Miloslav (advisor)
This thesis deals with the eye gaze tracking and determining the direction and the place of the view. The overview of methods for determining the view direction is provided here. The direct 3D gaze estimation technique is proposed and implemented. The eye gaze can be estimated by using a single camera and under nature head movement. This paper describes the algorithms for the image processing and the image description. The center of the pupil is determined by the genetic algorithm for the ellipse detection. The procedures of the instrumentation calibration are proposed here as well. The work also addresses the issue of the determining the eye location. Finally, the comparison of the accuracy with similar projects is mentioned in my thesis.
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