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An open-source SIFTLibrary

Author:

Rob HessAuthors Info & Claims

MM '10: Proceedings of the 18th ACM international conference on Multimedia

Pages 1493 - 1496

https://doi.org/10.1145/1873951.1874256

Published: 25 October 2010 Publication History

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Abstract

Recent years have seen an explosion in the use of invariant keypoint methods across nearly every area of computer vision research. Since its introduction, the scale-invariant feature transform (SIFT) has been one of the most effective and widely-used of these methods and has served as a major catalyst in their popularization. In this paper, I present an open-source SIFT library, implemented in C and freely available at http://eecs.oregonstate.edu/~hess/sift.html, and I briefly compare its performance with that of the original SIFT executable released by David Lowe.

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Cited By

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Liu XZhao XXia ZFeng QYu PWeng J(2023)Secure Outsourced SIFT: Accurate and Efficient Privacy-Preserving Image SIFT Feature ExtractionIEEE Transactions on Image Processing10.1109/TIP.2023.329574132(4635-4648)Online publication date: 2023
https://doi.org/10.1109/TIP.2023.3295741
Shen LReda MZhao Y(2021)Image-matching enhancement using a polarized intensity-hue-saturation fusion methodApplied Optics10.1364/AO.41972660:13(3699)Online publication date: 23-Apr-2021
https://doi.org/10.1364/AO.419726
Fejer ANagy ZBenois-Pineau JSzolgay Pde Rugy ADomenger J(2021)Array computing based system for visual servoing of neuroprosthesis of upper limbs2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)10.1109/CNNA49188.2021.9610783(1-5)Online publication date: 29-Sep-2021
https://doi.org/10.1109/CNNA49188.2021.9610783
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Index Terms

An open-source SIFTLibrary
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
  2. Computer graphics
    1. Image manipulation
2. Software and its engineering

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Information & Contributors

Information

Published In

MM '10: Proceedings of the 18th ACM international conference on Multimedia

October 2010

1836 pages

ISBN:9781605589336

DOI:10.1145/1873951

General Chairs:
Alberto del Bimbo
University of Florence, Italy
,
Shih-Fu Chang
Columbia University, USA
,
Program Chair:
Arnold Smeulders
University of Amsterdam, NL

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2010

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Short-paper

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MM '10

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SIGMM

MM '10: ACM Multimedia Conference

October 25 - 29, 2010

Firenze, Italy

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

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Liu XZhao XXia ZFeng QYu PWeng J(2023)Secure Outsourced SIFT: Accurate and Efficient Privacy-Preserving Image SIFT Feature ExtractionIEEE Transactions on Image Processing10.1109/TIP.2023.329574132(4635-4648)Online publication date: 2023
https://doi.org/10.1109/TIP.2023.3295741
Shen LReda MZhao Y(2021)Image-matching enhancement using a polarized intensity-hue-saturation fusion methodApplied Optics10.1364/AO.41972660:13(3699)Online publication date: 23-Apr-2021
https://doi.org/10.1364/AO.419726
Fejer ANagy ZBenois-Pineau JSzolgay Pde Rugy ADomenger J(2021)Array computing based system for visual servoing of neuroprosthesis of upper limbs2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)10.1109/CNNA49188.2021.9610783(1-5)Online publication date: 29-Sep-2021
https://doi.org/10.1109/CNNA49188.2021.9610783
Bampis LGasteratos A(2021)Sequence-based visual place recognition: a scale-space approach for boundary detectionAutonomous Robots10.1007/s10514-021-09984-7Online publication date: 20-May-2021
https://doi.org/10.1007/s10514-021-09984-7
Fejér ANagy ZBenois‐Pineau JSzolgay Pde Rugy ADomenger J(2021)Implementation of Scale Invariant Feature Transform detector on FPGA for low‐power wearable devices for prostheses controlInternational Journal of Circuit Theory and Applications10.1002/cta.302549:7(2255-2273)Online publication date: 2-May-2021
https://doi.org/10.1002/cta.3025
Fejer ANagy ZBenois-Pineau JSzolgay Pde Rugy ADomenger J(2019)FPGA-based SIFT implementation for wearable computing2019 IEEE 22nd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)10.1109/DDECS.2019.8724653(1-4)Online publication date: Apr-2019
https://doi.org/10.1109/DDECS.2019.8724653
Moren KGöhringer D(2019)A framework for accelerating local feature extraction with OpenCL on multi-core CPUs and co-processorsJournal of Real-Time Image Processing10.1007/s11554-016-0576-016:4(901-918)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1007/s11554-016-0576-0
Wang YLiu YXu ZZheng YHong W(2019)Approximated Scale Space for Efficient and Accurate SIFT Key-Point DetectionThe Proceedings of the International Conference on Sensing and Imaging, 201810.1007/978-3-030-30825-4_3(31-40)Online publication date: 18-Dec-2019
https://doi.org/10.1007/978-3-030-30825-4_3
Jiang SJiang W(2018)Efficient SfM for Oblique UAV Images: From Match Pair Selection to Geometrical VerificationRemote Sensing10.3390/rs1008124610:8(1246)Online publication date: 8-Aug-2018
https://doi.org/10.3390/rs10081246
Yum JLee CPark JKim JLee H(2018)A Hardware Architecture for the Affine-Invariant Extension of SIFTIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2017.274017528:11(3251-3261)Online publication date: Nov-2018
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