Title
Transport Based Image Morphing with Intensity Modulation.
Abstract
We present a generalized optimal transport model in which the mass-preserving constraint for the L-2-Wasserstein distance is relaxed by introducing a source term in the continuity equation. The source term is also incorporated in the path energy by means of its squared L-2-norm in time of a functional with linear growth in space. This extension of the original transport model enables local density modulations, which is a desirable feature in applications such as image warping and blending. A key advantage of the use of a functional with linear growth in space is that it allows for singular sources and sinks, which can be supported on points or lines. On a technical level, the L-2-norm in time ensures a disintegration of the source in time, which we use to obtain the well-posedness of the model and the existence of geodesic paths. The numerical discretization is based on the proximal splitting approach [18] and selected numerical test cases show the potential of the proposed approach. Furthermore, the approach is applied to the warping and blending of textures.
Year
DOI
Venue
2017
10.1007/978-3-319-58771-4_45
Lecture Notes in Computer Science
Keywords
Field
DocType
Optimal transport,Texture morphing,Generalized Wasserstein distance,Proximal splitting
Discretization,Morphing,Intensity modulation,Continuity equation,Image warping,Square (algebra),Mathematical analysis,Mathematics,Geodesic,Modulation (music)
Conference
Volume
ISSN
Citations 
10302
0302-9743
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Jan Maas151.27
Martin Rumpf223018.97
Stefan Simon300.34