An Effective Local Invariant Descriptor Combining Luminance and Color Information

@article{Zhang2007AnEL,
  title={An Effective Local Invariant Descriptor Combining Luminance and Color Information},
  author={Dong Zhang and Weiqiang Wang and Wen Gao and Shuqiang Jiang},
  journal={2007 IEEE International Conference on Multimedia and Expo},
  year={2007},
  pages={1507-1510}
}
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing local invariant features mainly characterize luminance information, and neglect color information. In this paper, we present a new local invariant descriptor characterizing both of them, which combines three photometric invariant color descriptors with the famous SIFT descriptor. To reduce the dimension of the… CONTINUE READING

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References

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Showing 1-10 of 30 references

Stork: Pattern Classification, 2 dED

  • R. O. Duda, D.G.P.E. Hart
  • New York: John Wiely and Sons,
  • 2001
Highly Influential
8 Excerpts

Weijer and C . Schmid : " Coloring Local Feature Extraction "

  • J.
  • European Conference on Computer Vision
  • 2006

Mikolajczyk and C . Schmid : “ A performance Evaluation of Local Descriptors ”

  • S. Ghebreab T. Gevers, A. W. M. Smeulders
  • In IEEE Transactions on Pattern Analysis and…
  • 2005

Schmid : " A performance Evaluation of Local Descriptors "

  • C.
  • IEEE Transactions on Pattern Analysis and Machine…
  • 2005

W

  • L. Qin, W. Zeng
  • Gao and W.Q. Wang: "Local Invariant Descriptor…
  • 2005
1 Excerpt

J

  • D. A. Forsyth
  • Ponce: Computer Vision: A Modern Approach…
  • 2004

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