caa a22 4500 467914281 CHVBK 20180406152857.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s11263-006-6859-3 doi (NATIONALLICENCE)springer-10.1007/s11263-006-6859-3 Geodesic Remeshing Using Front Propagation [Elektronische Daten] [Gabriel Peyré, Laurent Cohen] In this paper, we propose a complete framework for 3D geometry modeling and processing that uses only fast geodesic computations. The basic building block for these techniques is a novel greedy algorithm to perform a uniform or adaptive remeshing of a triangulated surface. Our other contributions include a parameterization scheme based on barycentric coordinates, an intrinsic algorithm for computing geodesic centroidal tessellations, and a fast and robust method to flatten a genus-0 surface patch. On large meshes (more than 500,000 vertices), our techniques speed up computation by over one order of magnitude in comparison to classical remeshing and parameterization methods. Our methods are easy to implement and do not need multilevel solvers to handle complex models that may contain poorly shaped triangles. Springer Science + Business Media, LLC, 2006 remeshing nationallicence geodesic computation nationallicence fast marching algorithm nationallicence mesh segmentation nationallicence surface parameterization nationallicence texture mapping nationallicence deformable models nationallicence Peyré Gabriel CMAP, École Polytechnique, UMR CNRS 7641, France aut Cohen Laurent CMAP, École Polytechnique, UMR CNRS 7641, France aut International Journal of Computer Vision Kluwer Academic Publishers 69/1(2006-08-01), 145-156 0920-5691 69:1<145 2006 69 11263 https://doi.org/10.1007/s11263-006-6859-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-6859-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Peyré Gabriel CMAP, École Polytechnique, UMR CNRS 7641, France aut NATIONALLICENCE 700 1- Cohen Laurent CMAP, École Polytechnique, UMR CNRS 7641, France aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 69/1(2006-08-01), 145-156 0920-5691 69:1<145 2006 69 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer