Accurate and Robust Image Alignment for Road Profil Reconstruction
Abstract
In this paper we propose a new approach of the two-image alignment
problem based on a functional representation of images. This allows
us to derive a one-to-several correspondence, multi-scale algorithm.
At the same time, it also formalizes the problem as a robust
estimation problem between possible matches. We then derive an
accurate, robust and faster version for the alignment of edge
images. The proposed algorithm is developed and tested in the
context of offline longitudinal road profile reconstruction
from stereo images.
Reference
@inproceedings{jpt-icip07,
author = {Tarel, J.-P. and Ieng, S.-S. and Charbonnier, P.},
title = {Accurate and Robust Image Alignment for Road Profil Reconstruction},
booktitle = {Proceedings of IEEE International Conference on Image Processing (ICIP'07)},
date = {September 16-19},
address = {San Antonio, Texas, USA},
pages = {365-368},
volume = {V},
year = {2007},
note = {http://perso.lcpc.fr/tarel.jean-philippe/publis/icip07.html}
}
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