- published
- 2014-12-22
- reference
- Ives Rey Otero, and Mauricio Delbracio, Anatomy of the SIFT Method, Image Processing On Line, 4 (2014), pp. 370–396. https://doi.org/10.5201/ipol.2014.82
Communicated by Gabriele Facciolo
Demo edited by Ives Rey Otero
Abstract
This article presents a detailed description and implementation of the Scale Invariant Feature Transform (SIFT), a popular image matching algorithm. This work contributes to a detailed dissection of SIFT’s complex chain of transformations and to a careful presentation of each of its design parameters. A companion online demonstration allows the reader to use SIFT and individually set each parameter to analyze its impact on the algorithm results.
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- full text manuscript: PDF low-res. (918K) PDF (1.8M) [?]
- source code: ZIP
History
- Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.