计算机科学 ›› 2014, Vol. 41 ›› Issue (4): 306-308.

• 图形图像与模式识别 • 上一篇    下一篇

基于点到弦距离累加的快速角点检测

金亦挺,王万良,赵燕伟,蒋一波   

  1. 浙江工业大学计算机科学与技术学院 杭州310023;浙江工业大学计算机科学与技术学院 杭州310023;浙江工业大学计算机科学与技术学院 杭州310023;浙江工业大学计算机科学与技术学院 杭州310023
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金项目(61070043),“十二五”国家科技支撑计划(2012BAD10B01),浙江省自然科学基金(LQ12F03011)资助

Fast Corner Detector Based on Chord-to-Point Distance Accumulation

JIN Yi-ting,WANG Wan-liang,ZHAO Yan-wei and JIANG Yi-bo   

  • Online:2018-11-14 Published:2018-11-14

摘要: 提出了一种鲁棒的快速角点检测算法,以解决现有基于点到弦距离累加的角点检测算法存在的缺陷,即角点定位低、算法时间复杂度高等问题。该算法结合了‘单尺度’和‘多尺度’的优势,首先在‘单尺度’下获取候选角点集合,保留了邻近角点,并使得后续计算量大大降低,然后在‘多尺度’下计算候选角点的特征值,使之有效地去除伪角点。实验表明,所提算法的时间复杂度降低了,并且保持了算法的鲁棒性,角点定位精度也得到了提升。

关键词: 点到弦距离累加,快速,角点检测,角点定位,时间复杂度

Abstract: To solve the disadvantages of the corner detector based on chord-to-point distance accumulation,low location accuracy,high detector time complexity and so on,a fast robust corner detector was proposed.This detector combines the advantages of ‘single scale’ and ‘multi-scale’.Firstly,it obtains the candidate corner under single scale,keeping the adjacent corner,and reducing following calculation greatly.Then,it calculates the eigenvalues of the candidate corners under multi-scale,eliminates false corners effectively.The experiment result shows that the detector reduces time complexity,keeps the robustness of the detector and the accuracy of corner location is also improved.

Key words: Chord-to-point distance accumulation,Fast,Corner detection,Corner location,Time complexity

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