by József Molnár, Robert Frohlich, Dmitry Chetverikov, Zoltan Kato
Abstract:
We propose a novel solution for reconstructing planar surface patches from omnidirectional camera images. The theoretical foundation relies on variational calculus, which yields a closed form solution for the normal vector a 3D planar surface patch, when a homography is known between the corresponding image region pairs. The method is quantitatively evaluated on a large set of synthetic data. Experimental results confirm that the method provides good reconstructions in real-time.
Reference:
József Molnár, Robert Frohlich, Dmitry Chetverikov, Zoltan Kato, 3D Reconstruction of Planar Patches Seen by Omnidirectional Cameras, In Proceedings of International Conference on Digital Image Computing: Techniques and Applications, Wollongong, Australia, pp. 1-8, 2014, IEEE.
Bibtex Entry:
@string{dicta="Proceedings of International Conference on Digital Image Computing: Techniques and Applications"}
@INPROCEEDINGS{Molnar-etal2014a,
author = {J\'ozsef Moln\'ar and Robert Frohlich and
Dmitry Chetverikov and Zoltan Kato},
title = {3D Reconstruction of Planar Patches Seen by
Omnidirectional Cameras},
booktitle = dicta,
year = 2014,
address = {Wollongong, Australia},
month = nov,
pages = {1-8},
isbn = {ISBN 978-1-4799-5409-4},
publisher = {IEEE},
abstract = {We propose a novel solution for reconstructing
planar surface patches from omnidirectional camera
images. The theoretical foundation relies on
variational calculus, which yields a closed form
solution for the normal vector a 3D planar surface
patch, when a homography is known between the
corresponding image region pairs. The method is
quantitatively evaluated on a large set of synthetic
data. Experimental results confirm that the method
provides good reconstructions in real-time. },
}