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실외 게임용 증강현실 서비스를 위한실시간 지역 정보 매칭

Real-time Location Information Matching for AR Service in Outdoor Game

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초록

Location based service and AR(Augmented Reality) techniques have been one of the most important areas incurrent computer games and mobile application. This paper presents GPU(Graphics Process Unit) based imagerecognition system for outdoor games and mobile application. In learning stage, we extract features from inputimage sequence and convert them into meta information in database. User captures then a query image that issent to GPU based server system. The proposed system build a descriptor codebook using BRISK and SURFdescriptors, and employs codebook with re-ranking information based on homography.

Abstract

Location based service and AR(Augmented Reality) techniques have been one of the most important areas incurrent computer games and mobile application. This paper presents GPU(Graphics Process Unit) based imagerecognition system for outdoor games and mobile application. In learning stage, we extract features from inputimage sequence and convert them into meta information in database. User captures then a query image that issent to GPU based server system. The proposed system build a descriptor codebook using BRISK and SURFdescriptors, and employs codebook with re-ranking information based on homography.

참고문헌 (17)

  1. D. Schmalstieg, "Experiences with handheld augmented reality", Proc. of Int'l. Symposium on Mixed and Augmented Reality, pp.3~15 (2007)
  2. D. Wagner, "Robust and unobtrusive marker tracking on mobile phones" (2008), Graz University of Technology
  3. G. Takacs, "Outdoors Augmented reality on mobile phone using loxel-based visual feature organization", Proc. of IAMARS (2009)
  4. G. Reitmayr, "Going out : robust model-based tracking for outdoor augmented reality", Proc. of ISMAR, pp.109~118 (2006)
  5. J. Zhang, "Location-based image retrieval for urban environments", Proc. of ICIP, pp.3677~3680 (2011)
  6. 정영석, "주변 조명원을 이용한 모바일 AR 영상 렌더링 방법", 한국컴퓨터게임학회논문지, 26(2), pp.9~17 (2013), (사)한국컴퓨터게임학회
  7. 최윤석, "모바일 게임을 위한 카메라 및 가속도 센서 기반 증강현실", 한국컴퓨터게임학회논문지, 2(23), pp.125~130 (2010), (사)한국컴퓨터게임학회
  8. 손원영, "모바일 게임을 위한 증강현실에서의 재조명 방법", 한국컴퓨터게임학회논문지, 2(23), pp.159~164 (2010), (사)한국컴퓨터게임학회
  9. H. Bay, "SURF : speeded up robust features", Computer Vision and Image Understanding, 110(3), pp.346~359 (2008)
  10. S. Leutenegger, "BRISK : Binary robust invariant scalable keypoint", Proc. of ICCV, pp.2548~2555 (2011)
  11. M. Muja, "Fast approximate nearest neighbors with automatic algorithm configuration", Proc. of Int’l. Conf. on Computer Vision Theory and Applications, pp.331~340 (2009)
  12. D. G. Lowe, "Object recognition from local scale-invariant features", Proc. of the Int'l. Conf. on Computer Vision, 2, pp.1150~1157 (1999)
  13. E. Rosten, "Machine learning for high-speed corner detection", Proc. of ECCV, pp.430~443 (2006)
  14. E. Mair, "Adaptive and generic corner detection based on the accelerated segment test", Proc. of ECCV, pp.183~196 (2010)
  15. J. Beis, "Shape indexing using approximate nearest-neighbor search in high-dimensional spaces", Proc. of CVPR, pp.1000~1006 (1997)
  16. J. M. Morel, "ASIFT : A new framework for fully affine invariant image comparison", SIAM Journal on Imaging Sciences, 2(2), pp.438~469 (2009)
  17. "CUDA"[URL]

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