CSIFT: A SIFT Descriptor with Color Invariant Characteristics

  title={CSIFT: A SIFT Descriptor with Color Invariant Characteristics},
  author={Alaa E. Abdel-Hakim and Aly A. Farag},
  journal={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object description and matching tasks. Many objects can be misclassified if their color contents are ignored. This paper addresses this problem and proposes a novel colored local invariant feature descriptor. Instead of using the gray space to represent the input image, the proposed approach builds the SIFT descriptors in a color… CONTINUE READING
Highly Influential
This paper has highly influenced 57 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 582 citations. REVIEW CITATIONS
283 Citations
27 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 283 extracted citations

583 Citations

Citations per Year
Semantic Scholar estimates that this publication has 583 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 27 references


  • J. M. Geusebroek
  • van den Boomgaard, A. W. M. Smeulders, and H…
  • 2001
Highly Influential
7 Excerpts


  • A. A. Farag, A. E. Abdel-Hakim
  • categorization and recognition of road signs for…
  • 2004
1 Excerpt

Similar Papers

Loading similar papers…