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Evaluation of feature detectors for registering aerial images

Authors:

Andrew Bainbridge-SmithAuthors Info & Claims

IVCNZ '12: Proceedings of the 27th Conference on Image and Vision Computing New Zealand

Pages 192 - 197

https://doi.org/10.1145/2425836.2425877

Published: 26 November 2012 Publication History

Abstract

The detection, extraction, and matching of image features is a popular method for generating point-to-point correspondences for the estimation of scene and camera geometries. In this work we evaluate the performance of a variety of feature detection algorithms over two reference data sets and a set of aerial images which includes large changes in scene illumination. The evaluated detectors showed expected performance against the reference data sets, and aerial images with constant lighting conditions, but were unsuccessful in aligning image pairs showing strong changes in image exposure and illumination.

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Cited By

Wang VHayes M(2017)Synthetic Aperture Sonar Track Registration Using SIFT Image CorrespondencesIEEE Journal of Oceanic Engineering10.1109/JOE.2016.263407842:4(901-913)Online publication date: Oct-2017
https://doi.org/10.1109/JOE.2016.2634078
Marburg AHayes MBainbridge-Smith A(2013)Pose Priors for Aerial Image Registration2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)10.1109/DICTA.2013.6691515(1-8)Online publication date: Nov-2013
https://doi.org/10.1109/DICTA.2013.6691515

Index Terms

Evaluation of feature detectors for registering aerial images
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
      2. Computer vision tasks
  2. Computer graphics
    1. Image manipulation

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Abstract
Feature detection plays a crucial role in image registration. There exists quite a few feature detection algorithms in literature like BRISK, FAST, SURF etc [14]. Each of these algorithms has its own advantages and disadvantages. BRISK is rotation ...

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Information & Contributors

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Published In

cover image ACM Other conferences

IVCNZ '12: Proceedings of the 27th Conference on Image and Vision Computing New Zealand

November 2012

547 pages

ISBN:9781450314732

DOI:10.1145/2425836

Editors:
Brendan McCane
University of Otago
,
Steven Mills
University of Otago
,
Jeremiah Deng
University of Otago

Copyright © 2012 ACM.

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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HRS: Hoare Research Software Ltd.
Google Inc.
Dept. of Information Science, Univ.of Otago: Department of Information Science, University of Otago, Dunedin, New Zealand

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 November 2012

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IVCNZ '12

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HRS
Dept. of Information Science, Univ.of Otago

IVCNZ '12: Image and Vision Computing New Zealand

November 26 - 28, 2012

Dunedin, New Zealand

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Cited By

Wang VHayes M(2017)Synthetic Aperture Sonar Track Registration Using SIFT Image CorrespondencesIEEE Journal of Oceanic Engineering10.1109/JOE.2016.263407842:4(901-913)Online publication date: Oct-2017
https://doi.org/10.1109/JOE.2016.2634078
Marburg AHayes MBainbridge-Smith A(2013)Pose Priors for Aerial Image Registration2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)10.1109/DICTA.2013.6691515(1-8)Online publication date: Nov-2013
https://doi.org/10.1109/DICTA.2013.6691515

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