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3D Surface Reconstruction From Video Sequences
Dominec, Adam ; Mach, Lukáš (advisor) ; Sedláček, David (referee)
Abstract. This work describes a method for dense scene reconstruction from video, assuming both the external and internal calibration of camera in each frame is known. The method is modular; in the cases of the well studied subproblems, a description of the corresponding algorithms is provided, and where necessary, we present our novel techniques. The method reconstructs the scene in an iterative manner and is highly adaptable to required precision and resolution of the output. This work is accompanied by a complete open- source implementation of the method described.
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Software-based eye tracking
Dominec, Adam ; Zitová, Barbara (advisor) ; Horáček, Jan (referee)
Abstract. This thesis presents a software library for eye gaze tracking. The typical use case is a person watching their computer screen. All data is obtained from a single video camera and is processed in real time. The resulting software is freely available including its source code.
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3D Surface Reconstruction From Video Sequences
Dominec, Adam ; Mach, Lukáš (advisor) ; Sedláček, David (referee)
Abstract. This work describes a method for dense scene reconstruction from video, assuming both the external and internal calibration of camera in each frame is known. The method is modular; in the cases of the well studied subproblems, a description of the corresponding algorithms is provided, and where necessary, we present our novel techniques. The method reconstructs the scene in an iterative manner and is highly adaptable to required precision and resolution of the output. This work is accompanied by a complete open- source implementation of the method described.
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