TY - JOUR
T1 - Reversible harmonic maps between discrete surfaces
AU - Ezuz, Danielle
AU - Solomon, Justin
AU - Ben-Chen, Mirela
N1 - Funding Information: D. Ezuz acknowledges funding from the Irwin and Joan Jacobs fellowship. J. Solomon acknowledges the generous support of Army Research Office grant W911NF-12-R-0011 (“Smooth Modeling of Flows on Graphs”), of National Science Foundation grant IIS-1838071 (“BIGDATA:F: Statistical and Computational Optimal Transport for Geometric Data Analysis”), from the MIT Research Support Committee, from an Amazon Research Award, from the MIT-IBM Watson AI Laboratory, and from the Skoltech-MIT Next Generation Program. M. Ben-Chen acknowledges funding from the European Research Council (ERC starting grant no. 714776 OPREP) and the Israel Science Foundation (grant no. 504/16). Funding Information: D. Ezuz acknowledges funding from the Irwin and Joan Jacobs fellowship. J. Solomon acknowledges the generous support of Army Research Office grant W911NF-12-R-0011 (“Smooth Modeling of Flows on Graphs”), of National Science Foundation grant IIS-1838071 (“BIGDATA:F: Statistical and Computational Optimal Transport for Geometric Data Analysis”), from the MIT Research Support Committee, from an Amazon Research Award, from the MIT–IBM Watson AI Laboratory, and from the Skoltech– MIT Next Generation Program. M. Ben-Chen acknowledges funding from the European Research Council (ERC starting grant no. 714776 OPREP) and the Israel Science Foundation (grant no. 504/16). Authors’ addresses: D. Ezuz, Technion - Israel Institute of Technology; email: danielle. [email protected]; J. Solomon, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, MA, 02139, USA; email: [email protected]; M. Ben-Chen, Technion - Israel Institute of Technology; email: [email protected]. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). © 2019 Copyright held by the owner/author(s). 0730-0301/2019/03-ART15 https://doi.org/10.1145/3202660 Publisher Copyright: © 2019 Copyright held by the owner/author(s).
PY - 2019/4
Y1 - 2019/4
N2 - Information transfer between triangle meshes is of great importance in computer graphics and geometry processing. To facilitate this process, a smooth and accurate map is typically required between the two meshes. While such maps can sometimes be computed between nearly isometric meshes, the more general case of meshes with diverse geometries remains challenging. We propose a novel approach for direct map computation between triangle meshes without mapping to an intermediate domain, which optimizes for the harmonicity and reversibility of the forward and backward maps. Our method is general both in the information it can receive as input, e.g., point landmarks, a dense map, or a functional map, and in the diversity of the geometries to which it can be applied. We demonstrate that our maps exhibit lower conformal distortion than the state of the art, while succeeding in correctly mapping key features of the input shapes.
AB - Information transfer between triangle meshes is of great importance in computer graphics and geometry processing. To facilitate this process, a smooth and accurate map is typically required between the two meshes. While such maps can sometimes be computed between nearly isometric meshes, the more general case of meshes with diverse geometries remains challenging. We propose a novel approach for direct map computation between triangle meshes without mapping to an intermediate domain, which optimizes for the harmonicity and reversibility of the forward and backward maps. Our method is general both in the information it can receive as input, e.g., point landmarks, a dense map, or a functional map, and in the diversity of the geometries to which it can be applied. We demonstrate that our maps exhibit lower conformal distortion than the state of the art, while succeeding in correctly mapping key features of the input shapes.
KW - Harmonic maps
KW - Shape analysis
KW - Shape correspondence
KW - Shape matching
UR - https://www.scopus.com/pages/publications/85065790574
U2 - 10.1145/3202660
DO - 10.1145/3202660
M3 - Article
SN - 0730-0301
VL - 38
JO - ACM Transactions on Graphics
JF - ACM Transactions on Graphics
IS - 2
M1 - 15
ER -