Title
Distortion-minimizing injective maps between surfaces
Abstract
The problem of discrete surface parametrization, i.e. mapping a mesh to a planar domain, has been investigated extensively. We address the more general problem of mapping between surfaces. In particular, we provide a formulation that yields a map between two disk-topology meshes, which is continuous and injective by construction and which locally minimizes intrinsic distortion. A common approach is to express such a map as the composition of two maps via a simple intermediate domain such as the plane, and to independently optimize the individual maps. However, even if both individual maps are of minimal distortion, there is potentially high distortion in the composed map. In contrast to many previous works, we minimize distortion in an end-to-end manner, directly optimizing the quality of the composed map. This setting poses additional challenges due to the discrete nature of both the source and the target domain. We propose a formulation that, despite the combinatorial aspects of the problem, allows for a purely continuous optimization. Further, our approach addresses the non-smooth nature of discrete distortion measures in this context which hinders straightforward application of off-the-shelf optimization techniques. We demonstrate that, despite the challenges inherent to the more involved setting, discrete surface-to-surface maps can be optimized effectively.
Year
DOI
Venue
2019
10.1145/3355089.3356519
international conference on computer graphics and interactive techniques
Keywords
Field
DocType
cross-parametrization, embedding, inter-surface mapping, intersection mesh, surface parametrization
Mathematical optimization,General problem,Embedding,Parametrization,Injective function,Algebra,Planar,Distortion,Mathematics
Journal
Volume
Issue
ISSN
38
6
0730-0301
Citations 
PageRank 
References 
2
0.42
0
Authors
4
Name
Order
Citations
PageRank
Patrick Schmidt1112.95
Janis Born281.87
Marcel Campen340723.47
Leif Kobbelt45783333.35