Paper
15 October 2012 On coding of images and SIFT feature descriptors
Author Affiliations +
Abstract
We offer probabilistic interpretation of meaning of SIFT image features. This allows us to derive formulae connecting SIFT feature values to parameters of gradient distributions. We also study KL-distances between gradient distributions and establish their connections to values in SIFT descriptors.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuriy A. Reznik "On coding of images and SIFT feature descriptors", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84991F (15 October 2012); https://doi.org/10.1117/12.940742
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KEYWORDS
Image compression

Feature extraction

Visualization

Augmented reality

Binary data

Image visualization

Principal component analysis

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