Title
Linear Surface Reconstruction from Discrete Fundamental Forms on Triangle Meshes
Abstract
We present a linear algorithm to reconstruct the vertex coordinates for a surface mesh given its edge lengths and dihedral angles, unique up to rotation and translation. A local integrability condition for the existence of an immersion of the mesh in 3D Euclidean space is provided, mirroring the fundamental theorem of surfaces in the continuous setting (i.e. Gauss's equation and the Mainardi–Codazzi equations) if we regard edge lengths as the discrete first fundamental form and dihedral angles as the discrete second fundamental form. The resulting sparse linear system to solve for the immersion is derived from the convex optimization of a quadratic energy based on a lift from the immersion in the 3D Euclidean space to the 6D rigid motion space. This discrete representation and linear reconstruction can benefit a wide range of geometry processing tasks such as surface deformation and shape analysis. A rotation-invariant surface deformation through point and orientation constraints is demonstrated as well. © 2012 Wiley Periodicals, Inc.
Year
DOI
Venue
2012
10.1111/j.1467-8659.2012.03153.x
Comput. Graph. Forum
Keywords
Field
DocType
rigid motion space,discrete fundamental forms,fundamental form,rotation-invariant surface deformation,linear surface reconstruction,euclidean space,edge length,linear reconstruction,triangle meshes,fundamental theorem,dihedral angle,linear algorithm,discrete representation,surface
Surface reconstruction,Linear system,Geometry processing,Euclidean space,Fundamental theorem,Geometry,First fundamental form,Second fundamental form,Convex optimization,Mathematics
Journal
Volume
Issue
ISSN
31
8
0167-7055
Citations 
PageRank 
References 
10
0.53
19
Authors
3
Name
Order
Citations
PageRank
Y. Wang1100.53
B. Liu2100.53
Yiying Tong397746.77