ColorCodeAR: Large identifiable ColorCode-based augmented reality system

Seungho Chae, Jonghoon Seo, Yoonsik Yang, Tack Don Han

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

Abstract

Augmented reality (AR) is widely used in various applications of computer vision, such as marker-based AR and markerless-based AR. These AR techniques are used in various fields, including industry, education, and medicine. Using marker-based AR, employees can easily perform step-by-step maintenance and repairs, and they can register parts information for large plants. However, conventional marker-based AR relies on a relatively small number of recognizable IDs compared to barcode markers. In this paper, to address the insufficient identification volume in conventional AR systems, we integrate barcode-based code technology with marker-based AR technology. Based on the results of an experiment, we applied ColorCode to our marker-based AR system. Nevertheless, difficulties arise when applying ColorCode to an AR system, owing to its recognition distance and relatively small size, compared to other AR codes. In this paper, therefore, we complemented quad detection with a tracking technique for various angles and distances, facilitating reliable recognition of the color-code-based AR system, Moreover, we added a tracking module to address the system's failure to detect markers. The experimental results demonstrate that the proposed system offers stable recognition.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2598-2602
Number of pages5
ISBN (Electronic)9781509018970
DOIs
Publication statusPublished - 2017 Feb 6
Event2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
Duration: 2016 Oct 92016 Oct 12

Publication series

Name2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

Other

Other2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
CountryHungary
CityBudapest
Period16/10/916/10/12

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Optimization
  • Human-Computer Interaction

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    Chae, S., Seo, J., Yang, Y., & Han, T. D. (2017). ColorCodeAR: Large identifiable ColorCode-based augmented reality system. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings (pp. 2598-2602). [7844630] (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2016.7844630