Interest Point Detection on Incomplete Images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Use of incomplete image data has become a prominent research issue in recent years, driven by the development of space variant image sensors. Whilst image reconstruction techniques have been developed that enable the subsequent use of standard image processing algorithms, the development of image processing algorithms that can be applied directly to incomplete image data has received less attention. The problem of interest point detection for incomplete images is addressed by presenting an algorithm that can be applied directly to incomplete image data without the requirement of image reconstruction, and the accurate performance of the algorithm is illustrated through visual results and ROC curves.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages817-820
Number of pages4
DOIs
Publication statusPublished - Oct 2008
Event15th IEEE International Conference on Image Processing (ICIP 2008) - San Diego, USA
Duration: 1 Oct 2008 → …

Conference

Conference15th IEEE International Conference on Image Processing (ICIP 2008)
Period1/10/08 → …

Fingerprint

Image reconstruction
Image processing
Image sensors

Cite this

@inproceedings{23a4b88ac85541848ca48710d2f3300d,
title = "Interest Point Detection on Incomplete Images",
abstract = "Use of incomplete image data has become a prominent research issue in recent years, driven by the development of space variant image sensors. Whilst image reconstruction techniques have been developed that enable the subsequent use of standard image processing algorithms, the development of image processing algorithms that can be applied directly to incomplete image data has received less attention. The problem of interest point detection for incomplete images is addressed by presenting an algorithm that can be applied directly to incomplete image data without the requirement of image reconstruction, and the accurate performance of the algorithm is illustrated through visual results and ROC curves.",
author = "D Kerr and BW Scotney and SA Coleman",
year = "2008",
month = "10",
doi = "10.1109/ICIP.2008.4711880",
language = "English",
pages = "817--820",
booktitle = "Unknown Host Publication",

}

Kerr, D, Scotney, BW & Coleman, SA 2008, Interest Point Detection on Incomplete Images. in Unknown Host Publication. pp. 817-820, 15th IEEE International Conference on Image Processing (ICIP 2008), 1/10/08. https://doi.org/10.1109/ICIP.2008.4711880

Interest Point Detection on Incomplete Images. / Kerr, D; Scotney, BW; Coleman, SA.

Unknown Host Publication. 2008. p. 817-820.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Use of incomplete image data has become a prominent research issue in recent years, driven by the development of space variant image sensors. Whilst image reconstruction techniques have been developed that enable the subsequent use of standard image processing algorithms, the development of image processing algorithms that can be applied directly to incomplete image data has received less attention. The problem of interest point detection for incomplete images is addressed by presenting an algorithm that can be applied directly to incomplete image data without the requirement of image reconstruction, and the accurate performance of the algorithm is illustrated through visual results and ROC curves.

AB - Use of incomplete image data has become a prominent research issue in recent years, driven by the development of space variant image sensors. Whilst image reconstruction techniques have been developed that enable the subsequent use of standard image processing algorithms, the development of image processing algorithms that can be applied directly to incomplete image data has received less attention. The problem of interest point detection for incomplete images is addressed by presenting an algorithm that can be applied directly to incomplete image data without the requirement of image reconstruction, and the accurate performance of the algorithm is illustrated through visual results and ROC curves.

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