Fast and Accurate Gaussian Derivatives based on B-Splines

conference paper




Bouma, H.

Vilanova, A.

Bescos, J.O.

Haar Romeney, B.M. ter

Gerritsen, F.A.
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.
TNO Identifier
220860
Repository link
https://resolver.tno.nl/uuid:56d8d49b-857d-458a-868d-903240efe1ab
Publisher
Springer
Source title
Scale Space and Variational Methods in Computer Vision - Proceedings First International Conference, SSVM 2007, May 30 - June 2, 2007, Ischia, Italy
Editor(s)
Sgallari, F.
Murli, A.
Paragios, N.
Place of publication
Berlin : [etc]
Pages
406 - 417
Files
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