한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제19권2호
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  • Pages.125-132
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  • 2014
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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향상된 트래킹 시스템과 실시간 수성 사인펜을 위한 사실적 드로잉

Improved Tracking System and Realistic Drawing for Real-Time Water-Based Sign Pen

  • 허혜정 (University of IIlinois at Chicago 전산학과) ;
  • 이주영 (덕성여자대학교 컴퓨터학과)
  • 투고 : 2014.02.10
  • 심사 : 2014.02.25
  • 발행 : 2014.02.28
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초록

본 논문에서는 저가의 웹 카메라를 사용하여 마커 없이 손끝과 붓을 트래킹 하는 시스템을 제시한다. 트래킹 시스템은 CUDA를 사용하여 병렬처리를 적용했다. 이 트래킹 시스템은 노트북이나 데스크탑과 같은 환경에서 수행이 가능하고, 실시간 애플리케이션에 사용 가능한 성능을 가진다. 또한 본 논문에서는 사적인 수성 사인펜 드로잉 모델을 제시하고 구현된 결과를 보여준다. 제안하는 시스템은 손끝과 붓을 트래킹 하는 저가의 실시간 트래킹 시스템으로 사실적 드로잉 애플리케이션과 연동하여 미래 최첨단 교육 환경 구축의 테스트베드로의 활용을 기대한다.

In this paper, we present marker-less fingertip and brush tracking system with inexpensive web camera. Parallel computation using CUDA is applied to the tracking system. This tracking system can run on inexpensive environment such as a laptop or a desktop and support for real-time application. We also present realistic water-based sign pen drawing model and implementation. The realistic drawing application with our inexpensive real-time fingertip and brush tracking system shows us the art class of the future. The realistic drawing application, along with our inexpensive real-time fingertip and brush tracking system, would be utilized in test-bed for the future high-technology education environment.

키워드

참고문헌

  1. http://www.ar-tracking.com/products/interaction-devices/ fingertracking/
  2. http://www.naturalpoint.com/optitrack/
  3. R. Wang and J. Popovic, "Real-Time Hand-Tracking with a Color Glove", Proceedings of ACM SIGGRAPH, Vol.28, Issue 3, No. 63, 2009.
  4. A. Erol, G. Bebis, et al., "Vision-based Hand Pose Estimation: A Review", Computer Vision and Image Understanding, Vol.108, Issue 1-2, pp.52-73, 2007. https://doi.org/10.1016/j.cviu.2006.10.012
  5. D. Lee and S. Lee, "Vision-Based Finger Action Recognition by Angle Detection and Contour Analysis", ETRI Journal, Vol. 33 Issue 3, pp. 415-422, June 2011. https://doi.org/10.4218/etrij.11.0110.0313
  6. M. Bhuyan, D. Neog, and M. Kar, "Fingertip Detection for Hand Pose Recognition", International Journal of Computer Science and Engineering(IJCSE), Vol. 4, No. 3, pp. 501-511, 2012.
  7. S. Nagarajan, T. Subashini, and V. Ramalingam, "Vision Based Real Time Finger Counter for Hand Gesture Recognition", International Journal of Technology, Vol. 2, No. 2, 2012.
  8. J. Barrho, M. Adam, and U. Kiencke, "Finger Localization and Classification in Images Based on Generalized Hough Transform and Probabilistic Models", Proceeding of IEEE int'l Conf. Control, Automation, Robotics and Vision, pp.1-6, 2006.
  9. S. Kang, M. Nam, and P. Rhee, "Color Based Hand and Finger Detection Technology for User Interaction", Proceeding of IEEE int'l Conf. Convergence and Hybrid Information Technology, pp. 229-236, 2008.
  10. L. Jin, et al., "A Novel Vision-Based Finger-Writing Character Recognition System", Journal of Circuits, Systems, and Computers, Vol. 16, No. 3, pp. 421-436, Jan. 2007. https://doi.org/10.1142/S0218126607003757
  11. L. Ren, G. Shakhnarovich, et al., "Learning Silhouette Gestures for Control of Human Motion", ACM Transactions on Graphics, Vol. 24, Issue 4, pp.1303-1331, Oct. 2005. https://doi.org/10.1145/1095878.1095882
  12. M. Sousa and J. Buchanan, "Computer -Generated Graphite Pencil Rendering of 3D Polygonal Models", Computer Graphics Forum, Vol. 18, Issue 3, pp.195-208, September 1999.
  13. M. Sousa and J. Buchanan, "Observational Models of Graphite Pencil Materials", Computer Graphics Forum, Vol.19, Issue 1, pp.27-49, March 2000.
  14. H. Yang, Y. Kwon, and K. Min, "A Stylized Approach for Pencil Drawing from Photographs", Computer Graphics Forum, Vol. 31, No. 4, pp.1471-1480, June 2012.
  15. M. Hata, M. Toyoura, and X. Mao, "Automatic Generation of Accentuated Pencil Drawing with Saliency Map and LIC", The Visual Computer, Vol. 28, pp. 657-668, June 2012. https://doi.org/10.1007/s00371-012-0689-9
  16. C. Curtis, et al., "Computer-Generated Watercolor", Proceedings of ACM SIGGRAPH, pp.421-430, 1997.
  17. D. Way, W. Lin, and Z. Shih, "Computer -Generated Chinese Color Ink Paintings", Journal of the Chinese Institute of Engineers, Vol. 29, No. 6, pp.1041-1050, 2006. https://doi.org/10.1080/02533839.2006.9671203
  18. Y. Sun and J. Wang, "Representation of Watercolor Based on Regions", Proceeding of IEEE int'l Conf. Image Analysis and Signal Processing, pp. 496-500, 2011.
  19. S. Worley, "A Cellular Texturing Basis Function", Proceeding of ACM SIGGRAPH, pp.291-294, 1996.