PuzzlePoles: Cylindrical Fiducial Markers Based on the PuzzleBoard Pattern
Juri Zach, Peer Stelldinger
TL;DR
PuzzlePole introduces cylindrical fiducial markers built from the PuzzleBoard pattern to achieve robust 360° recognition and precise pose estimation. The method uses quasiperiodic sub-patterns to wrap around cylinders seamlessly, enabling reliable decoding even at low image resolutions and under occlusion. Detection combines corner localization, grid decoding, and a Perspective-n-Point solver to recover position and orientation, with support for multiple poles. The approach offers potential for loop-closure in SLAM and improved localization in GPS-denied environments, with strong applicability to robotics and tangible interfaces.
Abstract
Reliable perception of the environment is a key enabler for autonomous systems, where calibration and localization tasks often rely on robust visual markers. We introduce the PuzzlePole, a new type of fiducial markers derived from the recently proposed PuzzleBoard calibration pattern. The PuzzlePole is a cylindrical marker, enabling reliable recognition and pose estimation from 360° viewing direction. By leveraging the unique combinatorial structure of the PuzzleBoard pattern, PuzzlePoles provide a high accuracy in localization and orientation while being robust to occlusions. The design offers flexibility for deployment in diverse autonomous systems scenarios, ranging from robot navigation and SLAM to tangible interfaces.
