Image reconstruction from multiscale critical points

Frans Kanters, Luc Florack, Bram Platel, Bart M. ter Haar Romeny

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

10 Citations (Scopus)

Abstract

A minimal variance reconstruction scheme is derived using derivatives of the Gaussian as filters. A closed form mixed correlation matrix for reconstructions from multiscale points and their local derivatives up to the second order is presented. With the inverse of this mixed correlation matrix, a reconstruction of the image can be easily calculated.Some interesting results of reconstructions from multiscale critical points are presented. The influence of limited calculation precision is considered, using the condition number of the mixed correlation matrix.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Scale-Space Methods in Computer Vision, 10-12 June 2003, Isle of Skye, UK
EditorsL.D. Griffin, M. Lillholm
Place of PublicationBerlin
PublisherSpringer
Pages464-478
Number of pages15
ISBN (Print)3-540-40368-X
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science
Volume2695
ISSN (Print)0302-9743

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