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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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
|Deposited By:||Dr Sonya Coleman|
|Deposited On:||29 Sep 2011 13:36|
|Last Modified:||29 Sep 2011 13:36|
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