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具有方向特性的X角点的亚像素检测定位 被引量:2

Sub-pixel X-corner detection and location with directional characteristics
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摘要 X角点被广泛应用于相机标定与可见光视觉跟踪系统,不仅具有位置信息,还可以具有方向信息.针对X角点的精确位置检测和方向检测,提出了一种利用X角点对称性的检测与定位算法——对称性计算算子(SC,Symmetry Calculation),简称SC算子.该算法主要由两部分组成.先利用对称性计算值确定X角点像素位置,然后基于二次曲线拟合及直线相交求亚像素位置.通过角点定位实验,仿真分析高斯噪声和畸变对定位精度及鲁棒性的影响,并与Harris算法及Micron Tracker系统进行比较.实验表明,本文方法能有效检测X角点,排除其他类型的角点和干扰点,具有较高的定位精度和鲁棒性. X-corner points are widely used in camera calibration and visible-spectrum visual tracking system as they can provide not only location information, but also direction information. To accurately detect the location and direction of X-corner points, a new algorithm based on the symmetry calculation of X-corner points was proposed. The algorithm mainly consists of two parts. First, the pixel position of the X-corner is determined by using the value of symmetry calculation. Then the sub-pixel location for the X-corner was obtained based on the quadratic curve fitting and inter-section of lines. Through a series of experiments and a comparison with Harris algorithm and Micron Tracker system, the impacts of Gauss noise and distortion on the positioning accuracy and robustness were analyzed. Experiments show that the method can effectively detect X-corners and exclude other types of corner points and disturbance, and thus has higher localization accuracy and robustness.
作者 孟偲 薛姣
出处 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2015年第4期580-588,共9页 Journal of Beijing University of Aeronautics and Astronautics
基金 国家科技支撑资助项目(2013BAF07B02) 中央高校基本科研业务费专项资金资助项目(YWF-14-YHXY-015)
关键词 X角点 对称性 亚像素位置 方向检测 二次曲线拟合 X-corner point symmetry sub-pixel location direction detection quadratic curve fitting
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参考文献20

  • 1Sánchez-Margallo J A, Sánchez-Margallo F M,Pagador J B,et al.Technical evaluation of a third generation optical pose tracker for motion analysis and image-guided surgery[M]//Clinical Image-Based Procedures.From Planning to Intervention.Heidelberg:Springer,2013:75-82.
  • 2王志衡,吴福朝,王旭光.基于局部方向分布的角点检测及亚像素定位[J].软件学报,2008,19(11):2932-2942. 被引量:17
  • 3Zhang Z Y. A flexible new technique for camera calibration[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(11):1330-1334.
  • 4刘阳成,朱枫.一种新的棋盘格图像角点检测算法[J].中国图象图形学报,2006,11(5):656-660. 被引量:33
  • 5Bouguet J Y. Camera calibration toolbox for matlab[EB/OL].California,Tex:California Institute of Technology,2009 (2013-12-02).http://www.vision.caltech.edu/bouguetj/calib_doc/.
  • 6Bradski G, Kaehler A.Learning OpenCV:computer vision with the OpenCV library[M].Sebastopol:O'Reilly Media,Inc.,2008:422-430.
  • 7Claron Technology Inc. Micron tracker developer's manual MTC 3.6[M].Toronto:Claron Technology Inc.,2011:25-35.
  • 8Harris C, Stephens M.A combined corner and edge detector[C]//Proceedings of Alvey Vision Conference.Manchester:Organising Committee AVC 88,1988,15:147-152.
  • 9王崴,唐一平,任娟莉,时冰川,李培林,韩华亭.一种改进的Harris角点提取算法[J].光学精密工程,2008,16(10):1995-2001. 被引量:104
  • 10侯建辉,林意.自适应的Harris棋盘格角点检测算法[J].计算机工程与设计,2009,30(20):4741-4743. 被引量:27

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