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}
}
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… Expand
37 Citations
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  • 52
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  • Mathematics, Computer Science
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  • 2016
  • 39
  • PDF
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  • 2
  • Highly Influenced
  • PDF
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  • 1
  • Highly Influenced
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References

SHOWING 1-10 OF 31 REFERENCES
SIFT Flow: Dense Correspondence across Different Scenes
  • 651
  • PDF
SIFT Flow: Dense Correspondence across Scenes and Its Applications
  • 1,408
  • Highly Influential
  • PDF
On SIFTs and their scales
  • 91
  • Highly Influential
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
  • E. Tola, V. Lepetit, P. Fua
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2010
  • 1,279
  • PDF
Nonparametric Scene Parsing via Label Transfer
  • 372
  • PDF
Deformable Spatial Pyramid Matching for Fast Dense Correspondences
  • 234
  • PDF
Nonparametric scene parsing: Label transfer via dense scene alignment
  • 352
  • 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
  • 8,143
  • PDF
...
1
2
3
4
...