Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
3D model registration with depth camera data
Boháč, Daniel ; Věchet, Stanislav (oponent) ; Adámek, Roman (vedoucí práce)
This thesis deals with 3D object recognition and pose estimation based on depth camera data, specifically point clouds. The only references for potential objects considered are their corresponding 3D models. The goal is to identify an appropriate algorithm through a literature review, develop a solution implementing this algorithm, assess its functionality, and describe its limitations. The work proposes an easily usable extendable library written in C++ and usable within Python. This library incorporates a pipeline derived from the literature review that addresses the problem by utilizing global descriptors. Lastly, the solution is validated in experiments using artificial and real data.
3D model registration with depth camera data
Boháč, Daniel ; Věchet, Stanislav (oponent) ; Adámek, Roman (vedoucí práce)
This thesis deals with 3D object recognition and pose estimation based on depth camera data, specifically point clouds. The only references for potential objects considered are their corresponding 3D models. The goal is to identify an appropriate algorithm through a literature review, develop a solution implementing this algorithm, assess its functionality, and describe its limitations. The work proposes an easily usable extendable library written in C++ and usable within Python. This library incorporates a pipeline derived from the literature review that addresses the problem by utilizing global descriptors. Lastly, the solution is validated in experiments using artificial and real data.

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