Chapter

Image Analysis and Processing – ICIAP 2011

Volume 6978 of the series Lecture Notes in Computer Science pp 504-513

A Finite Element Blob Detector for Robust Features

  • Dermot KerrAffiliated withLancaster UniversitySchool of Computing and Intelligent Systems, University of UlsterSchool of Computing and Information Engineering, University of Ulster
  • , Sonya ColemanAffiliated withLancaster UniversitySchool of Computing and Intelligent Systems, University of UlsterSchool of Computing and Information Engineering, University of Ulster
  • , Bryan ScotneyAffiliated withLancaster UniversitySchool of Computing and Intelligent Systems, University of UlsterSchool of Computing and Information Engineering, University of Ulster

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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.

Keywords

blob detector finite element framework