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Finite Element Laplacian Feature Detector

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) Finite Element Laplacian Feature Detector. In: IAPR Conference on Machine Vision and Applications (MVA 2011), Nara, Japan. IAPR. 4 pp. [Conference contribution]

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Abstract

Recently, interest point detectors and descriptors have 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 design proce-dure for the Finite Element Laplacian Feature (FELF) Detector which is similar to the multi-scale approach used in the SURF detector and detects blob like features. We illustrate the accuracy of the FELF algorithm in comparison to well known existing techniques and high-light the computational efficiency of the proposed approach

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:19035
Deposited By:Dr Sonya Coleman
Deposited On:22 Aug 2011 10:02
Last Modified:22 Aug 2011 10:02

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