Detection of Art Exhibitions using Augmented Reality Technology

증강현실 기술을 적용한 미술 전시품 검출

  • Lee, Yong-Hwan (Department Of Digital Contents, Wonkwang University) ;
  • Kim, Youngseop (Department of Electronics and Electrical Engineering, Dankook University)
  • 이용환 (원광대학교 디지털콘텐츠공학과) ;
  • 김영섭 (단국대학교 전자전기공학부)
  • Received : 2018.12.20
  • Accepted : 2018.12.25
  • Published : 2018.12.31

Abstract

Augmented Reality (AR) is an emerging technology and the applications of technology are still not fully unveiled. This paper explores a new application of augmented reality for new direction in art exhibitions, which aims to bring interactive learning experience to life. The project takes printed images on book or exhibiting arts to the next level by applying AR technology to provide a unique fascinating experience to its readers on mobile devices. AR technology composing with animation brings new digital entertainment experience to the user of art exhibitions. The key feature of this paper uses the technology presents auxiliary information in the field of view of an object on art exhibitions automatically without human intervention.

Keywords

References

  1. J. Song, M. Cai and M. Lyu, "Edge color distribution transform: An efficient tool for object detection in images," International Conference on Pattern Recognition, Vol. 1, pp. 608-611, Quebec City, Canada, August 11-15, 2002.
  2. H. Tang, M. Lyu, and I. King, "Face recognition committee machines: Dynamic vs. static structures," International Conference on Image Analysis and Processing, pp. 121-126, Mantova, Italy, September 17-19, 2003.
  3. J. Liaw, I. King, and M. Arbib, "Visual perception of translational and rotational motion," Proceedings Progress in Neural Networks, Vol. 4: Neural Networks in Vision, pp. 77-112, Norwood, NJ, 1997.
  4. T. Wong, C. Fu, P. Heng, and C Leung, "The Plenoptic illumination function," IEEE Transactions on Multimedia, Vol. 4, No. 3, pp. 361- 371, 2002. https://doi.org/10.1109/TMM.2002.802835
  5. Wikitude, AR Travel Guide launches with the G1 Android phone on 20 Oct 2008.
  6. Wang J., He F., Zhang X. and Gao Y., "Tracking Objects through Occlusions using Improved Kalman Filter", International Conference on Advanced Computer Control, 5(1), pp.223-228, 2010.
  7. Leichter I., Lindenbaum M. and Rivlin E., "Meanshift Tracking with Multiple Reference Color Histograms", Computer Vision and Image Understanding, 114(3), pp.400-408, 2010. https://doi.org/10.1016/j.cviu.2009.12.006
  8. Ahn H., Lee Y., Lee J. and Cho H., "Research on Target Tracking based on CamShift Approach with Feature Matching", International Conference on Convergence Technology, pp.930-931, 2015.
  9. G. R. Bradski, "Computer vision face tracking for use in a perceptual user interface," Intel Technology Journal, 2nd Quarter, 1998.
  10. Woori Han, Youngseop Kim, Yong-Hwan Lee, "Multi-Object Tracking based on Keypoints", Journal of the Semiconductor and Display Technology, 14(3), pp.67-72, 2015.
  11. Lowe D. G., "Distinctive Image Features from Scale-Invariant Keypoints", International Journal of Computer Vision, 60(2), pp.91-110, 2004. https://doi.org/10.1023/B:VISI.0000029664.99615.94
  12. Bay H., Tuytelaars T. and Van Gool L., "SURF: Speeded-Up Robust Features", International Conference on ECCV, pp.404-417, 2006.
  13. Yong-Hwan Lee, Je-Ho Park, Youngseop Kim, "Comparative Analysis of the Performance of SIFT and SURF", Journal of the Semiconductor and Display Technology, 12(3), pp.59-64, 2013.
  14. Huibai Wang, Junli Qin, FengQuan Zhang, "A New Interaction Method for Augmented Reality based on ARToolKot", International Congress on Image and Signal Processing, 2015.
  15. M.J. Is, "Beyond Earth - Augmented Reality Textbook", 2011.