Finite Element Laplacian Feature Detector

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherInternational Association of Pattern Recognition
Pages381-384
Number of pages4
ISBN (Print)978-4-901122-11-5
Publication statusPublished (in print/issue) - 13 Jun 2011
EventIAPR Conference on Machine Vision and Applications (MVA 2011) - Nara, Japan
Duration: 13 Jun 2011 → …

Conference

ConferenceIAPR Conference on Machine Vision and Applications (MVA 2011)
Period13/06/11 → …

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