Code : Congealing Complex Images
Preliminaries:
- All source code is provided under a (revised, advertising-clause free)
BSD-style license: terms of license.
- Please cite the ICCV paper below if you use this code.
Code:
- https://bitbucket.org/gbhuang/congealreal
- This is the most update to date version of the code. Included
are minor bug fixes and compatibility fixes with
openCV.
- Below is an archive of the code as it was when the paper was
published. It's recommended you use the up to date version of
the code, which implements the same algorithm as described in
the paper but includes fixes for issues outside of what was
explicitly tested in the paper (e.g., using a version of
openCV greater than 1.0, or a cropping region with height
greater than width).
Data:
- car data set
- face funnel
- Learned from congealing 800 faces from the LFW database.
(Uncompress and use as the second argument to funnelReal. The
outer and inner dimensions are the default values (150x150 and
100x100) so they do not need to be provided to
funnelReal.)
Change history:
- 2011/10/28
- Moved code
to public
repository on bitbucket.org.
- 2007/11/14
- Version 1.0 released, containing congealReal.cpp, funnelReal.cpp,
and README.txt.
Car data set (cars.tgz) and face funnel (people.train.tgz) released as well.
References
- Gary B. Huang, Vidit Jain, and Erik Learned-Miller.
Unsupervised joint alignment of complex images.
International Conference on Computer Vision (ICCV), 2007.
[pdf]
[project page]