by Rémi Mégret, Caterina Saraceno
Abstract:
Images sequences present a high degree of redundancy because objects are repeated over the successive images. When their apparent displacements are well approximated by a simple parametric model, the whole sequence can be summed up by pasting together all the images onto a so called mosaic image. Then each image of the original sequence can be considered as a part of the final mosaic. When the displacements of distinct objects differ, we must choose which objects have to be represented and how. \bigskip \\ In this report a framework is presented that produces the mosaic image corresponding to the background object of an image sequence. It is based on the dominant motion assumption, that is the background motion is parametric and the background occupates the main part of the images. The foreground objects are localised by their different motion. This localisation is computed together with the background motion in an iterative method. The regions corresponding to the background are then pasted onto the mosaic image using classic methods adapted to our problem or a new pasting method based on the distance to the foreground objects that achieve clearer mosaics.
Reference:
Building the background mosaic of an image sequence (Rémi Mégret, Caterina Saraceno), Technical report, PRIP, TU Wien, 1999.
Bibtex Entry:
@TechReport{TR060,
author = "R\'emi M\'egret and Caterina Saraceno",
institution = "PRIP, TU Wien",
number = "PRIP-TR-060",
title = "Building the background mosaic of an image sequence",
year = "1999",
url = "https://www.prip.tuwien.ac.at/pripfiles/trs/tr60.pdf",
abstract = "Images sequences present a high degree of redundancy
because objects are repeated over the successive
images. When their apparent displacements are well
approximated by a simple parametric model, the whole
sequence can be summed up by pasting together all
the images onto a so called mosaic image. Then each
image of the original sequence can be considered as
a part of the final mosaic. When the displacements
of distinct objects differ, we must choose which
objects have to be represented and how. \bigskip \\
In this report a framework is presented that
produces the mosaic image corresponding to the
background object of an image sequence. It is based
on the dominant motion assumption, that is the
background motion is parametric and the background
occupates the main part of the images. The
foreground objects are localised by their different
motion. This localisation is computed together with
the background motion in an iterative method. The
regions corresponding to the background are then
pasted onto the mosaic image using classic methods
adapted to our problem or a new pasting method based
on the distance to the foreground objects that
achieve clearer mosaics.",
}