A Finite Element Blob Detector for Robust Features

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

Abstract

Traditionally feature extraction is focussed on edge and corner detection, however, more recently points of interest and blob like features have also become prominent in the field of computer vision and are typically used to determine correspondences between two images of the same scene. We present a new approach to a Hessian blob detector, designed within the finite element framework, which is similar to the multi-scale approach applied in the SURF detector. We present performance evaluation that demonstrates the accuracy of our approach in comparison to well known existing algorithms.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages504-513
Number of pages10
Volume6978/2
DOIs
Publication statusPublished - 14 Sep 2011
Event16th International Conference on Image Analysis and Processing - Ravenna, Italy
Duration: 14 Sep 2011 → …

Conference

Conference16th International Conference on Image Analysis and Processing
Period14/09/11 → …

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Detectors
Computer vision
Feature extraction

Cite this

Kerr, D ; Coleman, SA ; Scotney, BW. / A Finite Element Blob Detector for Robust Features. Unknown Host Publication. Vol. 6978/2 2011. pp. 504-513
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Kerr, D, Coleman, SA & Scotney, BW 2011, A Finite Element Blob Detector for Robust Features. in Unknown Host Publication. vol. 6978/2, pp. 504-513, 16th International Conference on Image Analysis and Processing, 14/09/11. https://doi.org/10.1007/978-3-642-24085-0_52

A Finite Element Blob Detector for Robust Features. / Kerr, D; Coleman, SA; Scotney, BW.

Unknown Host Publication. Vol. 6978/2 2011. p. 504-513.

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

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