Kedilioglu, O. ; Bocco, T. M. ; Landesberger, M.MLZ* ; Rizzo, A. ; Franke, J.

2021
IEEE

Abstract: This paper presents a novel fiducial marker type called ArUcoE. It is obtained from a standard ArUco marker by enhancing it with a chessboard-like pattern. With our approach the pose estimation accuracy of any ArUco marker can easily be increased. Further methods to increase the accuracy are analyzed. By applying a subpixel algorithm to the corner regions we are able to locate the corner points within a pixel and overcome the restriction of pixel-level accuracy. A deep-learning-based super-resolution method is used to artificially increase the pixel density in the same regions. Additionally, the effect of using a single and a stereo camera setup on the accuracy is shown.

Keyword(s): Instrument and Method Development (1st) ; Instrument and Method Development (2nd)

1. STRESSI (STRESSI)

1. STRESS-SPEC: Materials science diffractometer (SR3)