Fast Computation of Rotation-Invariant Image Features by an Approximate Radial Gradient Transform | IEEE Journals & Magazine | IEEE Xplore

Fast Computation of Rotation-Invariant Image Features by an Approximate Radial Gradient Transform


Abstract:

We present the radial gradient transform (RGT) and a fast approximation, the approximate RGT (ARGT). We analyze the effects of the approximation on gradient quantization ...Show More

Abstract:

We present the radial gradient transform (RGT) and a fast approximation, the approximate RGT (ARGT). We analyze the effects of the approximation on gradient quantization and histogramming. The ARGT is incorporated into the rotation-invariant fast feature (RIFF) algorithm. We demonstrate that, using the ARGT, RIFF extracts features 16× faster than SURF while achieving a similar performance for image matching and retrieval.
Published in: IEEE Transactions on Image Processing ( Volume: 22, Issue: 8, August 2013)
Page(s): 2970 - 2982
Date of Publication: 29 November 2012

ISSN Information:

PubMed ID: 23204286

References

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