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A Finite Element Blob Detector for Robust Features

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Kerr, D, Coleman, SA and Scotney, BW (2011) A Finite Element Blob Detector for Robust Features. In: 16th International Conference on Image Analysis and Processing, Ravenna, Italy. Springer. Vol 6978/2011 10 pp. [Conference contribution]

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DOI: 10.1007/978-3-642-24085-0_52

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.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:20152
Deposited By:Dr Sonya Coleman
Deposited On:29 Sep 2011 13:36
Last Modified:29 Sep 2011 13:36

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