Communications of the Korean Institute of Information Scientists and Engineers (정보과학회지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

증강현실을 위한 비전 기반 객체 인식 및 추적 기술 동향

  • Published : 2016.12.16
Download PDF
⟨ Previous Next ⟩

Abstract

Keywords

References

  1. 방준성, 이동춘, 서상현, 김용준, 이헌주, 손욱호, "VR/AR 게임기술 동향," 전자통신동향분석, 31(1), pp. 146-156, 2016년 2월.
  2. 김경호, 장종찬, 한상철, "자동차 증강현실 기술 현황과 전망," KEIT PD ISSURE REPORT, 15-3, pp. 13-29, 2015년 3월.
  3. http://www.pokemongo.com/
  4. 3D융합산업 기술 동향 분석, 경북대학교 3D융합기술 지원센터, 2015년 6월
  5. 엄기열, 김규진, 김문현, "증강현실 환경하에서 비마커기반 객체 인식 및 추적 기술 동향," 정보과학회지, 28(8), pp. 54-66, 2010년 8월.
  6. 박영민, 우운택, "증강현실을 위한 인식 및 3D 추적 기술 동향과 전망," 정보처리학회지, 17(4), pp. 40-48, 2010년 7월.
  7. 박종일, 서병국, 최지윤, 박정식, "실재감과 상호작용의 영상 기술: 3D/UHD, VR, 그리고 AR," 정보과학회지, 28(8), pp. 26-37, 2010년 8월.
  8. 박한훈, 서병국, 박종일, "모델 기반 카메라 추적 기술 동향," 전자공학회지, 39(2), pp. 66-75, 2012년 2월.
  9. E. Marchand, H. Uchiyama, and F. Spindler, "Pose estimation for augmented reality: a hands-on survey," IEEE Transactions on Visualization and Computer Graphics, doi:10.1109/TVCG.2015.2513408
  10. R. Hartley and A. Zisserman, Multiple View Geometry, 2nd Ed., Cambridge University Press, 2003.
  11. V. Lepetit, F. Moreno-Noguer, and P. Fua, "EPnP: An accurate O(n) solution to the PnP problem," IJCV, vol. 81, pp. 155-166, 2009. https://doi.org/10.1007/s11263-008-0152-6
  12. Kinect, https://developer.microsoft.com/en-us/windows/kinect/
  13. ARToolkit, https://www.hitl.washington.edu/artoolkit/
  14. H. Park and J.-I. Park, "Invisible marker tracking for AR," Proc. of ISMAR, pp. 272-273, 2004.
  15. 3D scanning using structured lighting, http://mesh.brown.edu/byo3d/source.html
  16. R. A. Newcombe, et al., "KinectFusion: Real-time dense surface mapping and tracking," Proc. of ISMAR, pp. 127-136, 2011.
  17. D. P. Robertson and R. Cipolla, "Structure from motion," Practical Image Processing and Computer Vision, John Wiley, 2009.
  18. G. Klein and D. Murray, "Parallel tracking and mapping for small AR workspaces," Proc. of ISMAR, 2007.
  19. S. Hinterstoisser, V. Lepetit, S. Ilic, P. Fua, and N. Navab, "Dominant orientation templates for real-time detection of texture-less objects," Proc. of CVPR, 2010.
  20. 박한훈, 최준영, 문광석, "파티클 집단 최적화를 이용한 가려짐에 강인한 마커 기반 증강현실," 한국HCI학회논문지, 제11권 1호, pp. 39-45, 2016년 5월.
  21. C. Harris and M. Stephens, "A combined corner and edge detector," Proc. of Alvey Vision Conference, pp. 147-151, 1988.
  22. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," IJCV, vol. 60, issue 2, pp. 91-110, 2004. https://doi.org/10.1023/B:VISI.0000029664.99615.94
  23. H. Bay, T. Tuytelaars, and L. V. Gool, "SURF: Speeded up robust features," Proc. of ECCV, 2006.
  24. E. Rosten and T. Drummond, "Machine learning for high-speed corner detection," Proc. of ECCV, 2006.
  25. S. Leutenegger, M. Chli, and R. Y. Siegwart, "BRISK: Binary robust invariant scalable keypoints," Proc. of ICCV, 2011.
  26. M. Ozuysal, M. Calonder, V. Lepetit, and P. Fua, "Fast keypoint recognition using random ferns," IEEE Trans. on PAMI, vol. 32, no. 3, pp. 448-461, 2010. https://doi.org/10.1109/TPAMI.2009.23
  27. S. Taylor, E. Rosten, and T. Drummond, "Robust feature matching in 2.3us," Proc. of CVPRW, pp. 15-22, 2009.
  28. T. Nakai, K. Kise, and M. Iwamura, "Use of affine invariants in locally likely arrangement hashing for camera-based document image retrieval", LNCS 3872, pp. 541-552, 2006.
  29. OpenCV, http://opencv.org
  30. A. Davison, I. Reid, N. D. Molton, and O. Stasse, "MonoSLAM: Real-time single camera SLAM," IEEE Trans. on PAMI, vol. 29, issue 6, pp. 1052-1067, 2007. https://doi.org/10.1109/TPAMI.2007.1049
  31. R. A. Newcombe, S. J. Lovegrove, and A. J. Davison, "DTAM: Dense tracking and mapping in real-time," Proc. of ICCV, 2011.
  32. J. Engel, T. Schops, D. Cremers, "LSD-SLAM: Large-scale direct monocular SLAM," Proc. of ECCV, vol. 8690, pp. 834-849, 2014.
  33. B.-K. Seo, H. Park, J.-I. Park, S. Hinterstoisser, and S. Ilic, "Optimal local searching for fast and robust textureless 3D object tracking in highly cluttered backgrounds," IEEE Trans. on Vis. and Comp. Grap., vol. 20, no. 1, pp. 99-110, 2014. https://doi.org/10.1109/TVCG.2013.94
  34. B.-K. Seo and H. Wuest, "Robust 3D object tracking using an elaborate motion model," Adjunct Proc. of ISMAR, pp. 70-71, 2016.
  35. A. Torres-Gomez and W. Mayol-Cuevas, "Recognition and reconstruction of transparent objects for augmented reality," Proc. of ISMAR, pp. 129-134, 2014.
  36. A. Crivellaro and V. Lepetit, "Robust 3D tracking with descriptor fields," Proc. of CVPR, 2014.
  37. T. Schops, J. Engel, and D. Cremers, "Semi-dense visual odometry for AR on a smartphone," Proc. of ISMAR, 2014.
  38. C. Paulus, N. Haouchine, D. Cazier, and S. Cotin, "Augmented reality during cutting and tearing of deformable objects," Proc. of ISMAR, 2015.
  39. N. Haouchine, M.-O. Berger, and S. Cotin, "Simultaneous pose estimation and augmentation of elastic surfaces from a moving monocular camera," Proc. of ISMAR, 2016.
  40. N. Haouchine, J. Dequidt, M.-O. Berger, and S. Cotin, "Single view augmentation of 3D elastic objects," Proc. of ISMAR, 2014.
  41. I. Leizea, H. Alvarez, I. Aguinaga, and D. Borro, "Real-time deformation, registration and tracking of solids based on physical simulation," Proc. of ISMAR, pp. 165-170, 2014.
  42. L. Carozza, F. Bosche, and M. Abdel-Wahab, "Visual-inertial 6-DOF localization for a wearable immersive VR/AR system," Proc. of ISMAR, pp. 257-258, 2014.
  43. C. Sweeney, J. Flynn, B. Nuernberger, M. Turk, and T. Hollerer, "Efficient computation of absolute pose for gravity-aware augmented reality," Proc. of ISMAR, 2015.
  44. X. Yang, X. Si, T. Xue, and K.-T. T. Cheng, "Fusion of vision and inertial sensing for accurate and efficient pose tracking on smartphones," Proc. of ISMAR, 2015.
  45. C. Poglitsch, C. Arth, D. Schmalstieg, and J. Ventura, "A particle filter approach to outdoor localization using image-based rendering," Proc. of ISMAR, pp. 132-135, 2015.
  46. J. R. Rambach, A. Tewari, A. Pagani, and D. Stricker, "Learning to fuse: a deep learning approach to visual-inertial camera pose estimation," Proc. of ISMAR, pp. 71-76, 2016.
  47. I. Ihm, Y. Kim, J. Lee, J. Jeong, and I. Park, "Low-cost depth camera pose tracking for mobile platforms," Adjunct Proc. of ISMAR, pp. 123-126, 2016.
  48. I. A. Kakadiaris, M. M. Islam, T. Xie, C. Nikou, and A. B. Lumsden, "iRay: Mobile AR using structure sensor," Adjunct Proc. of ISMAR, 2016.
  49. J. Park, B.-K. Seo, and J.-I. Park, "Binocular mobile augmented reality based on stereo camera tracking," J. of Real-Time Image Processing, 2016. doi:10.1007/s11554-016-0640-9
  50. P. Fleck, C. Arth, C. Pirchheim, and D. Schmalstieg, "Tracking and mapping with swarm of heterogeneous clients," Proc. of ISMAR, pp. 136-139, 2015.
  51. A. Bapat, E. Dunn, and J.-M. Frahm, "Towards kilo-hertz 6-DoF visual tracking using an egocentric cluster of rolling shutter cameras," IEEE Trans. on Vis. and Comp. Grap., vol. 22, no. 11, 2016.