Note: you were redirected from an old ALICE bibliography reference. For direct access to this reference, use http://alice.loria.fr/php/article.php?Paper=hlscm@2003 instead. Publications by year Most documents on this website are protected by copyright.
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has the right to do so. Note that the definitive versions of all EG papers (Eurographics,...) can be downloaded from http://www.eg.org/EG/DL. ACM papers (Siggraph, ...) can be downloaded from http://www.acm.org/dl/. “Hierarchical Least Squares Conformal Maps” Nicolas Ray and Bruno Lévy 11th Pacific Conference on Computer Graphics and Applications, Canmore, Canada, 2003 Abstract: A texture atlas is an efficient way to represent information (like colors, normals, displacement maps ...) on triangulated surfaces. The LSCM method (Least Squares Conformal Maps) automatically generates a texture atlas from a meshed model. For large charts (over 100k facets), the convergence of the numerical solver may be slow. It is well known that the conformality criterion, minimized by LSCM, also corresponds to a harmonicity condition, meaning that barycentric coordinates are locally preserved through the parameterization. This has two different consequences \,: cascadic multigrid methods (coarse to fine) are well adapted to this criterion, and dramatically speed up the convergence of the numerical solver \,;  the obtained parameterization naturally minimizes texture swimming when used to texturemap a progressive mesh. In this paper, we introduce HLSCM (Hierarchical LSCM), a cascadic multigrid version of LSCM. As an example of possible applications, the paper shows how normal maps and simplified models can be automatically generated from large scanned meshes. Using these normal maps, the visual appearance of the model can be preserved even when 90% of the vertices are removed from the initial model. BibTex reference @INPROCEEDINGS{ray:HLS:2003,
AUTHOR = "Ray, Nicolas and Lévy, Bruno",
TITLE = "Hierarchical Least Squares Conformal Maps",
BOOKTITLE = "11th Pacific Conference on Computer Graphics and Applications, Canmor
e, Canada",
YEAR = "2003",
PAGES = "263270",
MONTH = "Octobre",
}
Supplemental material, links, hindsight ...
Hierarchical Least Squares Conformal Maps
Generating a normalmapped simplified model (Stanford Bunny)

Harmonicity and conformal maps: A minimizer of
the conformal energy is also an harmonic map, which means local
barycentric coordinates are preserved through the mapping. Note the
stability of the isoparametric curves while the model is simplified.
This has two consequences:
 cascadic multigrid is a good numerical strategy to
minimize the LSCM criterion;
 a model texturemapped using a conformal parameterization can be
simplified without introducing any noticeable texture deviation.
 normal map generation: using
a texture atlas, it is easy to generate a normal map , i.e.
an image which colors encode the normals of the object. To avoid
artifacts at chart frontiers, it is necessary to fillin the empty
regions using a pushpull algorithm, or mathematical morphology (like
here). When the mesh is simplified, thanks to the harmonicity property,
the linear interpolations performed by texture hardware correctly put
the normal map in correspondence with the simplified model;
 normal mapped simplified model: The initial
Stanford Bunny model has 70K faces. This video
shows the simplified model (4K faces) displayed without and with its
associated normal map. Using this representation, modern
graphics hardware can combine textures with perpixel diffuse and
specular shading in real time;
 corresponding normal map.
Generating a normalmapped simplified model (Hand)
Generating a normalmapped simplified model (Stanford Buddha)
 normalmapped simplified model: The initial
Stanford Buddha model has 1.087M faces. This video shows
the simplified model (46K faces) displayed with its associated normal
map, using perpixel real time shading. Specular shadings shows that
smallscale details are well reproduced by the normal map.
 corresponding normal map.
Numerical Stability: singlechart 'Hand' model
 multiresolution analysis of the 'Hand' model
(73K faces);
 parameterspace of this model.
This model has been parameterized using a single chart. The high
differences of scaling is a challenge for numerical solvers. As
can be seen in the video, HLSCM remains stable even in this context.
Clearly, this parameterization cannot be used for texture mapping
(it is better to create a texture atlas, as in previous videos).
However, this type of parameterization is
very useful for remeshing applications, where local
isotropy is more important than stretching (stretching can be taken
into account by the remeshing metric, see e.g. Alliez's work).
