Preserving Sharp Edges in Geometry Images
Mathieu Gauthier and
A geometry image offers a simple and compact way of encoding
the geometry of a surface
and its implicit connectivity
in an image-like data structure. It
has been shown to be useful in multiple applications
because of its suitability
for efficient hardware rendering, level of detail, filtering, etc.
Most existing algorithms generate geometry images by parameterizing
the surface onto a domain, and by performing a regular resampling
in this domain.
Unfortunately, this regular resampling
fails to capture sharp features present on the surface.
In this paper, we propose to slightly alter the grid to align
sample positions with corners and sharp edges in the geometric model.
While doing so, our goal is to maintain the resulting geometry images
simple to interpret, while producing higher quality reconstructions.
We demonstrate an implementation in the planar domain and show
results on a range of common geometrical models.
title = "Preserving Sharp Edges in Geometry Images",
author = "Mathieu Gauthier and Pierre Poulin",
booktitle = "Graphics Interface 2009",
month = may,
year = 2009,
pages = "1--6"
Adobe PDF version of the paper
Accompanying video video (39.5 MB).
Accompanying PPT presentation in 2007
slides (8.9 MB)
and 2003 formats
slides (11.2 MB).