by Walter G. Kropatsch
Abstract:
This technical report represents the first part of my habilitation (University of Innsbruck, Austria, 1990). It contains the quintessence of my scientific work in the years 1984-1989. The second part of the habilitation consists of a series of my own publications to the subject. It was not reproduced here since the papers already appeared separately. The present report offers a condensed survey over the international literature in this branch, arranged and commented according to a personal weighting in order to relate it to my works on the one hand and on the other hand, to put the significance of the single publications in the greater context of the current state of the art in computer vision. Pyramids are important structures in the processing of digital images. Invented as an ordered collection of images at multiple resolutions they have developed into efficient data and processing structures. They give us the hope to achieve acceptable performance in vision tasks that have to process millions of bytes in extremely short time. Curves represent shapes at an intermediate level. They describe either the boundary of a region or the central axis of an elongated region in the image. Hierarchical curve representations aim at a stepwise reduction of the data to 'significant parts' like corners or curvature extrema while preserving the major property of a curve: its connectivity.
Reference:
Image Pyramids and Curves - An Overview (Walter G. Kropatsch), Technical report, PRIP, TU Wien, 1991.
Bibtex Entry:
@TechReport{TR002,
author = "Walter G. Kropatsch",
institution = "PRIP, TU Wien",
number = "PRIP-TR-002",
title = "Image {P}yramids and {C}urves - {A}n {O}verview",
year = "1991",
price = "60,-",
url = "https://www.prip.tuwien.ac.at/pripfiles/trs/tr2.pdf",
abstract = "This technical report represents the first part of my
habilitation (University of Innsbruck, Austria, 1990).
It contains the quintessence of my scientific work in
the years 1984-1989. The second part of the
habilitation consists of a series of my own
publications to the subject. It was not reproduced here
since the papers already appeared separately. The
present report offers a condensed survey over the
international literature in this branch, arranged and
commented according to a personal weighting in order to
relate it to my works on the one hand and on the other
hand, to put the significance of the single
publications in the greater context of the current
state of the art in computer vision. Pyramids are
important structures in the processing of digital
images. Invented as an ordered collection of images at
multiple resolutions they have developed into efficient
data and processing structures. They give us the hope
to achieve acceptable performance in vision tasks that
have to process millions of bytes in extremely short
time. Curves represent shapes at an intermediate level.
They describe either the boundary of a region or the
central axis of an elongated region in the image.
Hierarchical curve representations aim at a stepwise
reduction of the data to 'significant parts' like
corners or curvature extrema while preserving the major
property of a curve: its connectivity.",
}