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      KCI등재 SCIE SCOPUS

      Fast and Accurate Self-calibration Using Vanishing Point Detection in Manmade Environments

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      https://www.riss.kr/link?id=A107069117

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      다국어 초록 (Multilingual Abstract)

      Interests of auto-calibration have been increased in several camera systems. This paper presents a novel self-calibration method using a fast and accurate vanishing point detection algorithm that works in manmade environments. The proposed algorithm e...

      Interests of auto-calibration have been increased in several camera systems. This paper presents a novel self-calibration method using a fast and accurate vanishing point detection algorithm that works in manmade environments. The proposed algorithm estimates focal length assuming that the principal point is the center of an image to satisfy the orthogonality of three vanishing points. By using the proposed vanishing point detection algorithm and minimization of the proposed objective function, the proposed system detects accurate vanishing points with focal length outperforming other methods. The proposed vanishing point detection algorithm detects vanishing points by using J-linkage based method that is more delicate by fragmentation and re-merging strategies. The proposed objective function finally detects vanishing points that meet orthogonality among estimated hypotheses for vanishing points by checking several geometric relationships. We believe that the proposed method can be used for automatic camera calibration, localization of a camera in an autonomous navigation system, and three-dimensional reconstruction of a single-view image.

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      참고문헌 (Reference)

      1 J. K. Jana, "Video compass" 476-490, 2002

      2 S. Lee, "VPGNet : Vanishing point guided network for lane and road marking detection and recognition" 1965-1973, 2017

      3 B. Caprile, "Using vanishing points for camera calibration" 4 (4): 127-139, 1990

      4 J. M. Coughlan, "The Manhattan world assumption : regularities in scene statistics which enable Bayesian inference" 809-815, 2000

      5 J. C. Bazin, "Rotation estimation and vanishing point extraction by omnidirectional vision in urban environment" 31 (31): 63-81, 2012

      6 R. Toldo, "Robust multiple structures estimation with j-linkage" 537-547, 2008

      7 H. Wildenauer, "Robust camera selfcalibration from monocular images of Manhattan worlds" 2831-2838, 2012

      8 M. A. Fischler, "Random sample consensus : a paradigm for model fitting with applications to image analysis and automated cartography" 24 (24): 381-395, 1981

      9 R. Fletcher, "Practical Methods of Optimization" John Wiley & Sons 2000

      10 R. Fletcher, "Practical Methods of Optimization" John Wiley & Sons 2000

      1 J. K. Jana, "Video compass" 476-490, 2002

      2 S. Lee, "VPGNet : Vanishing point guided network for lane and road marking detection and recognition" 1965-1973, 2017

      3 B. Caprile, "Using vanishing points for camera calibration" 4 (4): 127-139, 1990

      4 J. M. Coughlan, "The Manhattan world assumption : regularities in scene statistics which enable Bayesian inference" 809-815, 2000

      5 J. C. Bazin, "Rotation estimation and vanishing point extraction by omnidirectional vision in urban environment" 31 (31): 63-81, 2012

      6 R. Toldo, "Robust multiple structures estimation with j-linkage" 537-547, 2008

      7 H. Wildenauer, "Robust camera selfcalibration from monocular images of Manhattan worlds" 2831-2838, 2012

      8 M. A. Fischler, "Random sample consensus : a paradigm for model fitting with applications to image analysis and automated cartography" 24 (24): 381-395, 1981

      9 R. Fletcher, "Practical Methods of Optimization" John Wiley & Sons 2000

      10 R. Fletcher, "Practical Methods of Optimization" John Wiley & Sons 2000

      11 A. V. Lazo, "On the entropy of continuous probability distributions" 24 (24): 120-122, 1978

      12 E. A. Nadaraya, "On estimating regression" 9 (9): 141-142, 1963

      13 J. P. Tardif, "Non-iterative approach for fast and accurate vanishing point detection" 1250-1257, 2009

      14 R. Hartley, "Multiple View Geometry n Computer Vision" Cambridge University Press 2003

      15 R. G. Von Gioi, "LSD : a line segment detector" 2 : 35-55, 2012

      16 P. S. Mann, "Introductory Statistics" John Wiley &Sons 2016

      17 T. H. Cormen, "Introduction to Algorithms" MIT Press and McGraw-Hill 552-557, 2001

      18 S. T. Barnard, "Interpreting perspective images" 21 (21): 435-462, 1983

      19 J. C. Bazin, "Globally optimal line clustering and vanishing point estimation in manhattan world" 638-645, 2012

      20 O. Barinova, "Geometric image parsing in man-made environments" Springer 57-70, 2010

      21 S. J. Lee, "Fast and robust vanishing point detection on uncalibrated images" 2018

      22 강동중, "Detection of Calibration Patterns for Camera Calibration with Irregular Lighting and Complicated Backgrounds" 제어·로봇·시스템학회 6 (6): 746-754, 2008

      23 M. E. Antone, "Automatic recovery of relative camera rotations for urban scenes" 282-289, 2000

      24 Van-Dung Hoang, "Automatic Calibration of Camera and LRF based on Morphological Pattern and Optimal Angular Back-projection Error" 제어·로봇·시스템학회 13 (13): 1436-1445, 2015

      25 W. Feller, "An Introduction to Probability Theory and Its Applications" John Wiley & Sons Inc. 704-, 1991

      26 S. Hutchinson, "A tutorial on visual servo control" 12 (12): 651-670, 1996

      27 G. Nebehay, "A self-calibration method for smart video cameras" 2009

      28 S. J. Lee, "A robust line merge method using Gaussian mapping" 2018

      29 Y. Xu, "A minimum error vanishing point detection approach for uncalibrated monocular images of man-made environments" 1376-1383, 2013

      30 S. B. Aruoba, "A comparison of programming languages in macroeconomics" 58 : 265-273, 2015

      31 장국현, "A Vertical and Floor Line-based Monocular SLAM System for Corridor Environments" 제어·로봇·시스템학회 10 (10): 547-557, 2012

      32 신용득, "A Study on Reliability Enhancement for Laser and Camera Calibration" 제어·로봇·시스템학회 10 (10): 109-116, 2012

      33 Kaset Sirisantisamrid, "A Determination Method of Initial Camera Parameters for Coplanar Calibration" 제어·로봇·시스템학회 7 (7): 777-787, 2009

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-12-29 학회명변경 한글명 : 제어ㆍ로봇ㆍ시스템학회 -> 제어·로봇·시스템학회 KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-10-29 학회명변경 한글명 : 제어ㆍ자동화ㆍ시스템공학회 -> 제어ㆍ로봇ㆍ시스템학회
      영문명 : The Institute Of Control, Automation, And Systems Engineers, Korea -> Institute of Control, Robotics and Systems
      KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.35 0.6 1.07
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.88 0.73 0.388 0.04
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