Scale-Space SIFT flow

@article{Qiu2014ScaleSpaceSF,
  title={Scale-Space SIFT flow},
  author={Weichao Qiu and Xinggang Wang and X. Bai and A. Yuille and Zhuowen Tu},
  journal={IEEE Winter Conference on Applications of Computer Vision},
  year={2014},
  pages={1112-1119}
}
  • Weichao Qiu, Xinggang Wang, +2 authors Zhuowen Tu
  • Published 2014
  • Computer Science
  • IEEE Winter Conference on Applications of Computer Vision
  • The state-of-the-art SIFT flow has been widely adopted for the general image matching task, especially in dealing with image pairs from similar scenes but with different object configurations. However, the way in which the dense SIFT features are computed at a fixed scale in the SIFT flow method limits its capability of dealing with scenes of large scale changes. In this paper, we propose a simple, intuitive, and very effective approach, Scale-Space SIFT flow, to deal with the large scale… CONTINUE READING
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    • 2
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    References

    SHOWING 1-10 OF 31 REFERENCES
    SIFT Flow: Dense Correspondence across Different Scenes
    • 648
    • PDF
    SIFT Flow: Dense Correspondence across Scenes and Its Applications
    • Ce Liu, J. Yuen, A. Torralba
    • Computer Science, Medicine
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • 2011
    • 1,378
    • Highly Influential
    • PDF
    On SIFTs and their scales
    • 88
    • Highly Influential
    DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
    • 1,250
    • PDF
    Nonparametric Scene Parsing via Label Transfer
    • Ce Liu, J. Yuen, A. Torralba
    • Computer Science, Medicine
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • 2011
    • 369
    • PDF
    Deformable Spatial Pyramid Matching for Fast Dense Correspondences
    • 227
    • PDF
    Nonparametric scene parsing: Label transfer via dense scene alignment
    • 350
    • PDF
    Scale invariance without scale selection
    • I. Kokkinos, A. Yuille
    • Mathematics, Computer Science
    • 2008 IEEE Conference on Computer Vision and Pattern Recognition
    • 2008
    • 98
    • PDF
    Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
    • S. Lazebnik, C. Schmid, J. Ponce
    • Computer Science
    • 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)
    • 2006
    • 8,060
    • PDF
    Scale & Affine Invariant Interest Point Detectors
    • 4,038
    • PDF