Corpus ID: 2603372

Locally Uniform Comparison Image Descriptor

@inproceedings{Ziegler2012LocallyUC,
  title={Locally Uniform Comparison Image Descriptor},
  author={A. Ziegler and Eric M. Christiansen and D. Kriegman and Serge J. Belongie},
  booktitle={NIPS},
  year={2012}
}
Keypoint matching between pairs of images using popular descriptors like SIFT or a faster variant called SURF is at the heart of many computer vision algorithms including recognition, mosaicing, and structure from motion. However, SIFT and SURF do not perform well for real-time or mobile applications. As an alternative very fast binary descriptors like BRIEF and related methods use pairwise comparisons of pixel intensities in an image patch. We present an analysis of BRIEF and related… Expand
51 Citations
A Fast Local Image Descriptor Based on Patch Quantization
LIPID: Local Image Permutation Interval Descriptor
  • 2
A Zoned Image Patch Permutation Descriptor
  • 2
  • Highly Influenced
LTD: Local Ternary Descriptor for image matching
  • 4
How many bits do I need for matching local binary descriptors?
  • P. Alcantarilla, B. Stenger
  • Mathematics, Computer Science
  • 2016 IEEE International Conference on Robotics and Automation (ICRA)
  • 2016
  • 1
  • PDF
Superpixel-Based Local Features for Image Matching
  • PDF
Full ranking as local descriptor for visual recognition: A comparison of distance metrics on sn
  • 17
  • Highly Influenced
Is There Anything New to Say About SIFT Matching?
  • 5
  • PDF
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 27 REFERENCES
I-BRIEF: A Fast Feature Point Descriptor with More Robust Features
  • J. Liu, Xiaohui Liang
  • Mathematics, Computer Science
  • 2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems
  • 2011
  • 8
BRISK: Binary Robust invariant scalable keypoints
  • 2,720
  • PDF
Rank-SIFT: Learning to rank repeatable local interest points
  • 43
  • PDF
ORB: An efficient alternative to SIFT or SURF
  • 5,859
  • PDF
Speeded-Up Robust Features (SURF)
  • 10,690
  • PDF
SIFT-Rank: Ordinal description for invariant feature correspondence
  • 33
  • PDF
Object recognition from local scale-invariant features
  • D. Lowe
  • Mathematics, Computer Science
  • Proceedings of the Seventh IEEE International Conference on Computer Vision
  • 1999
  • 15,234
  • PDF
BRIEF: Binary Robust Independent Elementary Features
  • 2,835
  • Highly Influential
  • PDF
Ordinal Measures for Image Correspondence
  • D. Bhat, S. Nayar
  • Mathematics, Computer Science
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1998
  • 384
  • PDF
An Intensity-augmented Ordinal Measure for Visual Correspondence
  • 49
  • PDF
...
1
2
3
...