Transparent Random Dot Markers

Hideaki Uchiyama, Yuji Oyamada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents random dot markers (RDM) printed on transparent sheets as transparent fiducial markers. They are extremely unobstructive, and useful for developing novel user interfaces. However, the marker identification is required to be robust to observable back sides of the transparent sheets. To realize such markers, we propose a graph based framework for geometric feature based robust point matching for RDM. Instead of building one-to-one correspondences, we first build one-to-many correspondences using a 2D affinity matrix, and then globally optimize the matching assignment from the matrix. Especially, we incorporate pairwise relationship between neighboring points using local geometric descriptors into the matrix, and finally solve it with spectral matching. In the evaluation, we investigate the effectiveness of the global assignment from one-to-many correspondences, and finally show that our proposed method is enough robust to identifying overlapped markers.

Original languageEnglish
Title of host publication2018 24th International Conference on Pattern Recognition, ICPR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages254-259
Number of pages6
ISBN (Electronic)9781538637883
DOIs
Publication statusPublished - Nov 26 2018
Event24th International Conference on Pattern Recognition, ICPR 2018 - Beijing, China
Duration: Aug 20 2018Aug 24 2018

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2018-August
ISSN (Print)1051-4651

Other

Other24th International Conference on Pattern Recognition, ICPR 2018
CountryChina
CityBeijing
Period8/20/188/24/18

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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  • Cite this

    Uchiyama, H., & Oyamada, Y. (2018). Transparent Random Dot Markers. In 2018 24th International Conference on Pattern Recognition, ICPR 2018 (pp. 254-259). [8545845] (Proceedings - International Conference on Pattern Recognition; Vol. 2018-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2018.8545845