Least squares conformal maps for automatic texture atlas generation

By Bruno Lévy, Sylvain Petitjean, Nicolas Ray, J. Maillot. ACM Transactions on Graphics, 2002

1,493 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design

View Paper: https://www.semanticscholar.org/paper/09e76fb61218130187fb8fb54b6d8090a971ddf4

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In Computational Mechanics

In Computer Graphics and Computer-Aided Design

Citations in the corpus

Learning a Neural 3D Texture Space From 2D Exemplars (2019, methodology): “We compare to a 2D approach by loading the objects in Blender and applying its state-of-the-art UV mapping approach [13].”
Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry (2006, methodology): “Isomaps and Multidimensional scaling were used to define parameterization algorithms in [32], and more recently in the ISO-charts method [31], used in Microsoft’s DirectX combined with our packing algorithm presented in [22].”
Mesh parameterization: theory and practice (2007, methodology): “, 2004], used in Microsoft’s DirectX combined with the packing algorithm presented in [Lévy et al., 2002].”
Genus zero surface conformal mapping and its application to brain surface mapping (2004, methodology): “[16] compute a quasi-conformal parameterization of topological disks by approximating the Cauchy–Riemann”
Interactive geometry remeshing (2002, methodology): “This operation, called parameterization, also has many solutions readily available ([11, 25, 26, 9] to name a few).”
PolyCube-Maps (2004, background): “Other approaches consider larger patches and try to make the parameterization per patch as conformal or areapreserving as possible [Maillot et al. 1993; Lévy et al. 2002; Grimm 2002; Sorkine et al. 2002; Sander et al. 2003].”
Multi-Chart Geometry Images (2003, methodology): “We develop a new atlas chartifica tion scheme, based on general clustering optimization inspired by the work of Lloyd [1957] and Max [1960]. Our scheme creates compact, roughly flat charts whose bounda ries align with the model’s creases.”
Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety (2011, background): “Stereo-vision is particularly suitable for generic obstacle detection [17, 18] and object classification [19], because it provides a three-dimensional representation of the road scene.”