Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Relative Depth Estimation Algorithm Using Focus Measure

초점정보를 이용한 패턴간의 상대적 깊이 추정알고리즘 개발

  • Jeong, Ji-Seok (College of Electrical and Computer Engineering, Chungbuk National University) ;
  • Lee, Dae-Jong (College of Electrical and Computer Engineering, Chungbuk National University) ;
  • Shin, Yong-Nyuo (Computer Engineering, Hanyang Cyber University) ;
  • Chun, Myung-Geun (College of Electrical and Computer Engineering, Chungbuk National University)
  • 정지석 (충북대학교 전자정보대학 전자공학부 컴퓨터정보통신연구소) ;
  • 이대종 (충북대학교 전자정보대학 전자공학부 컴퓨터정보통신연구소) ;
  • 신용녀 (한양사이버대학교 컴퓨터공학과) ;
  • 전명근 (충북대학교 전자정보대학 전자공학부 컴퓨터정보통신연구소)
  • Received : 2013.10.10
  • Accepted : 2013.11.12
  • Published : 2013.12.25
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Abstract

Depth estimation is an essential factor for robot vision, 3D scene modeling, and motion control. The depth estimation method is based on focusing values calculated in a series of images by a single camera at different distance between lens and object. In this paper, we proposed a relative depth estimation method using focus measure. The proposed method is implemented by focus value calculated for each image obtained at different lens position and then depth is finally estimated by considering relative distance of two patterns. We performed various experiments on the effective focus measures for depth estimation by using various patterns and their usefulness.

깊이 추정은 로봇 비전, 3차원 영상, 모션 제어를 위해 사용되는 매우 중요한 인자이다. 깊이 추정은 렌즈와 물체 사이의 거리를 변화시켜가면서 취득된 일련의 영상에서 계산된 초점 정보에 기반을 둔다. 본 논문에서는 다양한 초점정보를 이용한 패턴간의 상대적 깊이 추정 알고리즘을 제안한다. 제안된 방법은 거리별로 취득된 영상의 초점값 정보를 이용하여 구현하였으며, 깊이는 두 패턴의 상대적 거리를 고려함으로써 추정하였다. 다양한 영상정보를 이용하여 깊이 추정을 수행한 결과 효과적인 추정이 가능함을 알 수 있었다.

Keywords

References

  1. Min Chae Lee, Jae Hyun Han, Chul Hoon Jang, Myoung Ho Sunwoo, "Information Fusion of Cameras and Laser Radars for Perception Systems of Autonomous Vehicles," Journal of Korean Institute of Intelligent Systems, Vol.23, No.1, pp. 35-45, 2013. https://doi.org/10.5391/JKIIS.2013.23.1.35
  2. Tae Jun Park, Tai Hoon Cho, "A study of crosswalk recognition for autonomous vehicles", Journal of Korean Institute of Intelligent Systems, Vol. 20, No 2, pp. 422-424, 2010. https://doi.org/10.5391/JKIIS.2010.20.3.422
  3. Quan Nguyen Van, Hyuk-Min Eum, Jeisung Lee, Chang-Ho Hyun, "Vision Sensor-Based Driving Algorithm for Indoor Automatic Guided Vehicles", International Journal of Fuzzy Logic and Intelligent Systems, Vol. 13, No. 2, pp. 140-146, 2013. https://doi.org/10.5391/IJFIS.2013.13.2.140
  4. Jong Hwan Yoon, Development of an Autofocusing System for LCD Defect Detection, Master thesis, Chungbuk National University, 2011.
  5. Muhammad Tariq Mahmood, Tae-Sun Choi, "3D shape recovery from image focus using kernel regression in eigenspace", Image and Vision Computing, Vol. 28, No 4, pp. 634-643, 2010. https://doi.org/10.1016/j.imavis.2009.10.005
  6. Aamir Saeed Malik, Humaira Nisar, Tae-Sun Choi, "A Fuzzy-Neural approach for estimation of depth map using focus", Applied Soft Computing, Vol. 11, No. 2, pp. 1837-1850, 2011. https://doi.org/10.1016/j.asoc.2010.05.030
  7. Muhammad Tariq Mahmood, Abdul Majid, Tae-Sun Choi, "Optimal depth estimation by combining focus measures using genetic programming", Information Science, Vol. 181, No. 7, pp. 1249-1263, 2011. https://doi.org/10.1016/j.ins.2010.11.039
  8. Rashid Minhas, Abdul Adeel Mohammed, Q.M. Jonathan Wu, "Shape from focus using fast discrete curvelet transform", Pattern Recognition, Vol. 44, No. 4, pp. 839-853, 2011. https://doi.org/10.1016/j.patcog.2010.10.015
  9. Ikhyun Lee, Muhammad Tariq Mahmood, Tae-Sun Choi, "Adaptive window selection for 3D shape recovery from image focus", Optics&Laser Technology, Vol. 45, pp.21-31, 2013.
  10. E. Kortkov, "Focusing," Int, J. Comp. Vision, Vol. 1, pp. 223-237, 1987.
  11. K. C. Ng, A. N. Poo, and M. H. Ang Jr., "Practical Issues in Pixel-Based Autofocusing for Machine Vision," Proceedings of the 2001 IEEE International Conference on Robotics and Automation, pp. 2791-2796, 2001.
  12. H. Ilhan, M. Dogar, M. Ozcan, "Fast autofocusing in digital holography using scaled holograms," Optics Communications, vol. 287, pp. 81-84, 2013. https://doi.org/10.1016/j.optcom.2012.09.036
  13. S. Pertuz, D. Puig, and M. A. Garcia, "Analysis of focus measure operator for shape-from-focus," Pattern Recognition, vol. 46, no.5, pp.1415-1432, 2013. https://doi.org/10.1016/j.patcog.2012.11.011
  14. R. Gonzalez and R. Woods, Digital Image Processing, 3rd Edition, Prentice Hall, 2010.

Cited by

  1. Boundary Depth Estimation Using Hough Transform and Focus Measure vol.25, pp.1, 2015, https://doi.org/10.5391/JKIIS.2015.25.1.078