This is the project page for our WACV2022 paper: "Shape-coded ArUco: Fiducial Marker for Bridging 2D and 3D Modalities".
Abstract - We introduce a fiducial marker for the registration of two-dimensional (2D) images and untextured three-dimensional (3D) shapes that are recorded by commodity laser scanners. Specifically, we design a 3D-version of the ArUco marker that retains exactly the same appearance as its 2D counterpart from any viewpoint above the marker but contains shape information. The shape-coded ArUco can naturally work with off-the-shelf ArUco marker detectors in the 2D image domain. For detection in the 3D domain, we develop a method for detecting the marker in an untextured 3D point cloud. Experiments demonstrate accurate 2D-3D registration using our shape-coded ArUco markers in comparison to baseline methods.
coming soon...
@inproceedings{makabe2022wacv,
title = {Shape-coded ArUco: Fiducial marker for bridging 2D and 3D modalities},
author = {Lilika Makabe and Hiroaki Santo and Fumio Okura and Yasuyuki Matsushita},
year = {2022},
date = {2022-01-04},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}