- publication
- ACM SIGGRAPH ASIA 2012
- authors
- Kaan Yücer, Alec Jacobson, Alexander Sorkine-Hornung, Olga Sorkine-Hornung
abstract
We present a method for consistent automatic transfer of edits applied to one image to many other images of the same object or scene. By introducing novel, content-adaptive weight functions we enhance the non-rigid alignment framework of Lucas-Kanade to robustly handle changes of view point, illumination and non-rigid deformations of the subjects. Our weight functions are content-aware and possess high-order smoothness, enabling to define high-quality image warping with a low number of parameters using spatially-varying weighted combinations of affine deformations. Optimizing the warp parameters leads to subpixel-accurate alignment while maintaining computation efficiency. Our method allows users to perform precise, localized edits such as simultaneous painting on multiple images in real-time, relieving them from tedious and repetitive manual reapplication to each individual image.
downloads
- Paper (ACM SIGGRAPH Asia 2012, official version available at http://portal.acm.org/)
- Paper (low resolution)
- BibTex entry
- Implementation details
- Video
- Data
accompanying video
earlier technical report
acknowledgements
We are grateful to Yael Pritch and Ilya Baran for internal reviews; Alessia
Marra for providing professional edits; Maurizio Nitti, Leila Gangji, Dylan
Zehr, Katie Anderson, and Alex Schiebel for modeling; Mykl Roventine,
Jonathunder, ZeroOne
,
<<<TheOne>>>
, Erik Hagreis,
roblisameehan
, *christopher*
,
and Jason Jenkins for their Creative Commons images; and Sam Hasinoff, Yoav
HaCohen and Henning Zimmer for helping with comparisons.