• DocumentCode
    254792
  • Title

    Efficient SIFT descriptor via color quantization

  • Author

    Pan Xiao ; Nian Cai ; Bochao Tang ; Shaowei Weng ; Han Wang

  • Author_Institution
    Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China
  • fYear
    2014
  • fDate
    9-13 April 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In order to reduce huge computational burden and to improve poor matching performance for existing color SIFT descriptors, we propose a novel color SIFT descriptor via color quantization (CQ). Firstly we quantize the three components of the HSV space and define a one-dimension color vector with a rigorous constraint. Then we introduce the vector to the standard SIFT descriptor and propose the novel color SIFT, termed CQ-SIFT. Experimental results indicate that the proposed color SIFT descriptor is superior to HSV-SIFT and RGB-SIFT.
  • Keywords
    image colour analysis; image matching; quantisation (signal); CQ-SIFT; HSV space component; RGB-SIFT; color SIFT descriptors; color quantization; one-dimension color vector; Color; Educational institutions; Image color analysis; Lighting; Quantization (signal); Standards; Vectors; SIFT; color quantization; feature matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - China, 2014 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ICCE-China.2014.7029876
  • Filename
    7029876