by Huang, F, Klette, R and Xie, Y-H
Abstract:
We show that there exist linear models for sensor pose estimation for multi-view panoramas defined by a symmetric or leveled pair of cylindric images. We assume that pairs of corresponding points have been detected already in those pairs of panoramas. For the first time a cost function is formulated whose minimization solves the pose estimation problem for these two general cases of multi-view panoramas, specified by unconstrained sensor parameter values but only minor constraints on sensor poses. (Note that due to the non-linearity of the panoramic projection geometry, the modeling of sensor pose estimation typically results into non-linear forms which incur numerical instability.) © 2008 Springer-Verlag Berlin Heidelberg.
Reference:
Pose estimation for sensors which capture cylindric panoramas (Huang, F, Klette, R and Xie, Y-H), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 5197 LNCS, 2008.
Bibtex Entry:
@inproceedings{huang2008posepanoramas,
author = "Huang, F and Klette, R and Xie, Y-H",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "593--601",
title = "Pose estimation for sensors which capture cylindric panoramas",
volume = "5197 LNCS",
year = "2008",
abstract = "We show that there exist linear models for sensor pose estimation for multi-view panoramas defined by a symmetric or leveled pair of cylindric images. We assume that pairs of corresponding points have been detected already in those pairs of panoramas. For the first time a cost function is formulated whose minimization solves the pose estimation problem for these two general cases of multi-view panoramas, specified by unconstrained sensor parameter values but only minor constraints on sensor poses. (Note that due to the non-linearity of the panoramic projection geometry, the modeling of sensor pose estimation typically results into non-linear forms which incur numerical instability.) © 2008 Springer-Verlag Berlin Heidelberg.",
doi = "10.1007/978-3-540-85920-8_72",
isbn = "3540859195",
isbn = "9783540859192",
issn = "0302-9743",
eissn = "1611-3349",
keyword = "Cylindric panorama",
keyword = "Panoramic sensor",
keyword = "Pose estimation",
language = "eng",
}