Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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A Method to Enhance the Recognition Rate of Marker Images in Augmented Reality

증강현실 마커 이미지의 인식률 개선 방안

  • Park, Chan (Department of Game Design, Kongju National University) ;
  • Lee, Wan-Bok (Department of Game Design, Kongju National University)
  • 박찬 (공주대학교 게임디자인학과) ;
  • 이완복 (공주대학교 게임디자인학과)
  • Received : 2021.10.11
  • Accepted : 2022.01.20
  • Published : 2022.01.28
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Abstract

As augmented reality technology becomes more common and prevelant, marker-based AR contents are applied in various ways. However AR contents are still hardly utilized due to the low recognition rate of marker images. In order to increase the recognition rate of AR marker images, this paper experiment and analyzed how much the recognition rate of markers could be improved when image correction and design changes was applied. The experimental result shows that the image correction task could significantly improve the number of image characteristics and the recognition grade if the image was modified in a way its saturation value is increased. Moreover, the recognition rate was improved even more when regular pattern design was added to the original marker image. In conclusion, it was possible to make the marker well recognized through proper correction of the image and additional process of pattern design in the process of producing the marker image.

증강현실 기술이 보편화됨에 따라 마커 기반형 AR 콘텐츠들이 다양하게 적용되고 있지만, 마커 인식이 정상적으로 이루어지지 않아 콘텐츠 활용성이 저하되는 문제점이 있다. 본 논문은 증강현실 마커 이미지의 인식률을 높이고자, 이미지 보정 및 디자인 변화를 적용하였을 경우 마커의 인식률이 어느 정도 향상될 수 있는지를 실험을 통하여 분석하였다. 실험결과 이미지 보정 과정에서는 원본 마커 이미지의 대비, 채도값을 높였을 때 특징점이 더 많이 판별되었으며, 인식등급 또한 향상된 것을 확인할 수 있었다. 게다가 원본 마커 이미지에 규칙적인 패턴 디자인을 추가하였을 때에도 인식률이 향상된 것을 알 수 있었다. 결론적으로 마커 이미지를 제작하는 과정에서 이미지의 적절한 보정 및 패턴 디자인의 추가과정을 통하여 마커가 잘 인식되도록 할 수 있었다.

Keywords

References

  1. H. E. Park & J. W. Jeon. (2013). Developing Korean Learning Contents Using Augmented Reality. Jour. of KoCona, 13(4), 459-468 DOI : 10.5392/JKCA.2013.13.04.459
  2. H. Y. Yoon. (2018).A Study on the Classification of Augmented Reality Contents. Humanities Contents Association, 0(49), 71-91.
  3. Y. J. Hoang. (2020). A Study on the 3D Augmented Reality Animation Education Method for Elementary School Arts Using Smartphone Application 'Quiver'. Journal of art education. 60, 277-308 DOI : 10.35657/jae.2020.60..010
  4. D. H. Suh. (2015). A Study on the Effectiveness of the Image Recognition Technique of Augmented Reality Contents. Cartoon & Animation Studies, (41), 337-356
  5. K. D. Park & J. H. Chung. (2014). A study on the Image Augmented Reality Card using Augmented Reality. Journal of Digital Convergence. 12(8), 467-474 DOI : 10.14400/JDC.2014.12.8.467
  6. D. G. Han. (2021). Augmented reality poster based on image marker recognition technology. Korea Design Research. 6(1), 206-216 https://doi.org/10.46248/kidrs.2021.1.206
  7. S. Y. Jung. (2019). Analysis of Augmented Reality-Based Museum APP Contents Types. Korean Society of Basic Design & Art. 20(2), 385-396 DOI : 10.47294/KSBDA.20.2.28
  8. H. W. Chun, M. K. Han & J. H. Jang. (2017). Trends in Augmented Reality Technology. Electronics and telecommunications trends, 32(4), 54-61
  9. S. H. Oh & K. D. Kim. (2013). Study on Establishment of Deoksugung Palace, Tourist Information Services using Augmented Reality(AR) Technology. Cultural Heritage, 46(2), 26-45 DOI : 10.22755/kjchs.2013.46.2.26
  10. D. S. Kim, H. J. Park & J. C. Jeon (2010). Mobile augmented reality-based content service technology. Review of Korean society for internet information. 11(1), 24-32
  11. J. Y. Lee & J. H. Kim. (2019). Evaluation of Marker Images based on Analysis of Feature Points for Effective Augmented Reality. Korea Industry-Academic Technology Association. 20(9), 49-55 DOI : 10.5762/KAIS.2019.20.9.49
  12. H. N. Yun, G. S. Kim & N. M. Moon. (2019). Multi-Marker Augmented Reality System using Marker-Based Tracking with Vuforia. Korean Society of Computer Information. 24(2), 119-126. DOI : 10.9708/jksci.2019.24.02.119
  13. C. N. Lu, J. Y. Park & J. H. Park. (2020). An Augmented Reality Solution for Improving Marker Recognition and Solving Human Occlusion. Journal of the Korean Game Society. 20(2), 183-191 DOI : 10.7583/JKGS.2020.20.2.183
  14. S. S. Lee & K. S. Kim. (2016). Development of a Doll Content Using Markers of Augmented Reality. Hoseo University Institute of Industrial Technology. 35(1), 67-73
  15. Y. J. Cho, J. H. Kim, Y. J. So & J. Y. Chung. (2017). Implementation of 'Eye View' Application for book information providing service using Marker technology and AR. Journal of Digital Contents Society. 18(2), 257-266 DOI : 10.9728/dcs.2017.18.2.257
  16. M. J. Seong & D. H. Lee. (2017). Design and Implementation of Cultural Property Learning Contents Using Augmented Reality. Journal of Digital Contents Society. 18(5), 831-837 DOI : 10.9728/dcs.2017.18.5.831