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Scale-invariant feature transform

Known as: Autopano-sift, Scale invariant feature transform, Autopano Pro 
Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was… Expand
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Papers overview

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Highly Cited
2016
Highly Cited
2016
[These lecture notes complement the slides. You should read both!] Suppose that we have computed a scale space using a ∇ 2 g σ (x… Expand
Highly Cited
2014
Highly Cited
2014
This paper proposes a novel offline text-independent writer identification method based on scale invariant feature transform… Expand
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Highly Cited
2012
Highly Cited
2012
Scale Invariant Feature Transform (SIFT) is an image descriptor for image-based matching developed by David Lowe (1999,2004… Expand
Highly Cited
2011
Highly Cited
2011
A SIFT algorithm in spherical coordinates for omnidirectional images is proposed. This algorithm can generate two types of local… Expand
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Highly Cited
2009
Highly Cited
2009
If a physical object has a smooth or piecewise smooth boundary, its images obtained by cameras in varying positions undergo… Expand
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Highly Cited
2009
Highly Cited
2009
When the scale-invariant feature transform (SIFT) is adopted in the registration of remote sensing images, a lot of incorrect… Expand
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Highly Cited
2007
Highly Cited
2007
We present a fully automated multimodal medical image matching technique. Our method extends the concepts used in the computer… Expand
Highly Cited
2004
Highly Cited
2004
  • D. Lowe
  • International Journal of Computer Vision
  • 2004
  • Corpus ID: 221242327
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable… Expand
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Highly Cited
2004
Highly Cited
2004
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable… Expand
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Highly Cited
1999
Highly Cited
1999
  • D. Lowe
  • Proceedings of the Seventh IEEE International…
  • 1999
  • Corpus ID: 5258236
An object recognition system has been developed that uses a new class of local image features. The features are invariant to… Expand