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Design and Applications of Special-Purpose Two-Dimensional Visual Markers
Zachariáš, Michal ; Sojka, Eduard (oponent) ; Ftáčnik,, Milan (oponent) ; Herout, Adam (vedoucí práce)
Contemporary visual fiduciary marker systems have a major disadvantage compared to markerless approaches - the camera movement is tightly limited to the space where the markers are. At any frame of the camera image a marker must be large enough to provide sufficient amount of information for detection and identification and at the same time, it must be small enough to fit into the camera's field of view. These requirements are contradictory. This work presents a solution to this problem in a concept of the Marker Field. It is a structure whose presence can be detected in a camera image and the exact location within the field can be recognized based on just any sub-area of defined size. The sub-areas are not disjoint, but they are overlapping to a very large degree, to be identifiable from both close-up and distant views. Different implementations of the marker field concept are explained in this work, together with their intended uses and their advantages and disadvantages. To prove and support the usability of proposed marker fields, this work's second largest part discusses their several real-life applications.
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Real-time camera pose estimation for augmented reality
Szentandrási, István ; Slavík,, Pavel (oponent) ; Liarokapis,, Fotis (oponent) ; Herout, Adam (vedoucí práce)
Fiduciary markers form the base for camera pose estimation for many Augmented Reality applications, when a fast and robust solution is required. In this thesis an efficient marker-based camera pose estimation is outlined for Uniform Marker Fields with several real-world applications. The proposed algorithm is highly efficient and works in real time even on multiple platforms, including mid-range smartphones. On-screen markers are used to establish relative pose between devices for task-migration and information reaccess. In movie production, the described camera pose estimation as part of the chromakeying process, provides content creators real-time preview. Results show that the described detection algorithm performs comparably to other marker-based methods and it is several times faster. The implemented applications provide viable - cheaper and faster - alternative to existing solutions.
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Design and Applications of Special-Purpose Two-Dimensional Visual Markers
Zachariáš, Michal ; Sojka, Eduard (oponent) ; Ftáčnik,, Milan (oponent) ; Herout, Adam (vedoucí práce)
Contemporary visual fiduciary marker systems have a major disadvantage compared to markerless approaches - the camera movement is tightly limited to the space where the markers are. At any frame of the camera image a marker must be large enough to provide sufficient amount of information for detection and identification and at the same time, it must be small enough to fit into the camera's field of view. These requirements are contradictory. This work presents a solution to this problem in a concept of the Marker Field. It is a structure whose presence can be detected in a camera image and the exact location within the field can be recognized based on just any sub-area of defined size. The sub-areas are not disjoint, but they are overlapping to a very large degree, to be identifiable from both close-up and distant views. Different implementations of the marker field concept are explained in this work, together with their intended uses and their advantages and disadvantages. To prove and support the usability of proposed marker fields, this work's second largest part discusses their several real-life applications.
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Real-time camera pose estimation for augmented reality
Szentandrási, István ; Slavík,, Pavel (oponent) ; Liarokapis,, Fotis (oponent) ; Herout, Adam (vedoucí práce)
Fiduciary markers form the base for camera pose estimation for many Augmented Reality applications, when a fast and robust solution is required. In this thesis an efficient marker-based camera pose estimation is outlined for Uniform Marker Fields with several real-world applications. The proposed algorithm is highly efficient and works in real time even on multiple platforms, including mid-range smartphones. On-screen markers are used to establish relative pose between devices for task-migration and information reaccess. In movie production, the described camera pose estimation as part of the chromakeying process, provides content creators real-time preview. Results show that the described detection algorithm performs comparably to other marker-based methods and it is several times faster. The implemented applications provide viable - cheaper and faster - alternative to existing solutions.
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