Detekce objektů v obrazech s využitím markerů na platformě Android
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
The aim of this bachelor thesis is to get acquainted with the basic concepts in aruco marker detection.
The bachelor thesis deals with the explanation of individual concepts in the field of extended reality and description of the individual steps for realization of detection marker.
Before seperate detection of markers, a black-and-white image conversion must be performed. After conversion, binary thresholding and marker contour detection are performed.
Once the contours have been correctly detected, the marker candidate must be found in the image.
Before separating the marker in the space, it must be checked whether it is a marker or not by extracting bits from the marker.
At the end of this work I describe an application that can be used in a lot of human activities from car maintenance to teaching purposes.
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OpenCv, markers, Pose Estimation, camera calibration, aruco, marker detection