• DocumentCode
    3449701
  • Title

    Combining feature descriptors for efficient classification and recognition of images

  • Author

    Roy, Kaushik ; Subrahmanya, G. ; Rao, V.R.K.

  • Author_Institution
    Cognizant Technol. Solutions, Chennai, India
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    420
  • Lastpage
    424
  • Abstract
    This work proposes an efficient method for classification and recognition in images based on combination of local feature descriptors and shape descriptors. This method outperforms the existing methods which are based on using only local feature matching or shape descriptors for classification and recognition in images. The proposed method makes use of matching detected local features in images as well as the shape feature within the image.
  • Keywords
    feature extraction; image recognition; shape recognition; feature descriptors; image classification; image recognition; local feature matching; shape descriptors; shape feature; Computer vision; Databases; Feature extraction; Image color analysis; Image edge detection; Shape; feature; fourier; keypoint; recognition; repeatability; surf;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2012 5th International Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-0965-3
  • Type

    conf

  • DOI
    10.1109/CISP.2012.6470022
  • Filename
    6470022