- publication
- VMV 2013
- authors
- Kaan Yücer, Alexander Sorkine-Hornung, Olga Sorkine-Hornung
Our method can be used for applying image manipulation tools to multiple images at once, such as multi-image matting (a), multi-image deformation transfer (b) and multi-image depth labeling (c).
abstract
Many image editing operations, such as colorization, matting or deformation, can be performed by propagating user-defined sparse constraints (e.g. scribbles) to the rest of the image using content-aware weight functions. Image manipulation has been recently extended to simultaneous editing of multiple images of the same subject or scene by precomputing dense correspondences, where the content-aware weights play a core role in defining the sub-pixel accurate image warps from source to target images. In this paper, we expand the range of applications for content-aware weights to the multi-image setting and improve the quality of the recently proposed weights and the matching framework. We show that multiple images of a subject can be used to refine the content-aware weights, and we propose a customization of the weights to enable easily-controllable interactive depth segmentation and assignment, image matting and deformation transfer, both in single- and multi-image settings.
downloads
- Paper (VMV 2013 http://vmv2013.inf.usi.ch/)
- BibTex entry
acknowledgements
We are grateful to Alec Jacobson for insightful discussions and Oliver Wang for sharing the input data of StereoBrush for comparisons.