Fast and accurate Gaussian derivatives based on B-splines

H. Bouma, A. Vilanova, J. Olivan Bescos, B.M. Haar Romenij, ter, F.A. Gerritsen

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

10 Citations (Scopus)

Abstract

Gaussian derivatives are often used as differential operators to analyze the structure in images. In this paper, we will analyze the accuracy and computational cost of the most common implementations for differentiation and interpolation of Gaussian-blurred multi-dimensional data. We show that – for the computation of multiple Gaussian derivatives– the method based on B-splines obtains a higher accuracy than the truncated Gaussian at equal computational cost.
Original languageEnglish
Title of host publicationProceedings of the 1st International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007), 30 May - 2 June 2007, Ischia, Italy
EditorsF. Sgallari, A. Murli, N. Paragios
Place of PublicationBerlin / Heidelberg
PublisherSpringer
Pages406-417
ISBN (Print)978-3-540-72822-1
DOIs
Publication statusPublished - 2007
EventFirst International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007) - Ischia, Italy
Duration: 30 May 20072 Jun 2007

Publication series

NameLecture Notes in Computer Science
Volume4485
ISSN (Print)0302-9743

Conference

ConferenceFirst International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007)
Country/TerritoryItaly
CityIschia
Period30/05/072/06/07

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