• DocumentCode
    1720592
  • Title

    An improved algorithm for panoramic image matching

  • Author

    Wang Kai-yu ; Xia Gui-hua ; Zhu Qi-dan ; Yu Yong-tao ; Wu Ye-bin

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2013
  • Firstpage
    4753
  • Lastpage
    4757
  • Abstract
    Aim to the disadvantage of traditional panoramic image feature extraction and matching algorithm, such as huge data processing and low time efficiency, an improved panoramic image feature extraction and matching algorithm base on SURF and improved KD tree search is proposed. Firstly, SURF is used to extract feature point and generate feature description, secondly, the KD tree search method with high efficiency is used to match feature point, and an improved KD tree search method is proposed to avoid wrong matching. Simulation and experiment results in case of translation and rotation indicate that the proposed algorithm owns better efficiency, accuracy and robust property.
  • Keywords
    feature extraction; image matching; tree searching; SURF; data processing; feature description generation; feature point extraction; feature point matching; improved KD tree search method; panoramic image feature extraction; panoramic image matching algorithm; speeded up robust features; Accuracy; Algorithm design and analysis; Feature extraction; Filtering theory; Robot kinematics; Robustness; KD tree; SURF; feature extraction and matching; panoramic image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640260