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Digital Image Computing: Techniques and Applications (DICTA'05)
Translation Estimation from Omnidirectional Images
Cairns, Australia
December 06-December 08
ISBN: 0-7695-2467-2
ASCII Text
x 
 
Jae-Hak Kim, Richard Hartley, "Translation Estimation from Omnidirectional Images," Digital Image Computing: Techniques and Applications, pp. 22, Digital Image Computing: Techniques and Applications (DICTA'05), 2005.
 
 
BibTex
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@article{ 10.1109/DICTA.2005.83,
author = {Jae-Hak Kim and Richard Hartley},
title = {Translation Estimation from Omnidirectional Images},
journal ={Digital Image Computing: Techniques and Applications},
volume = {0},
year = {2005},
isbn = {0-7695-2467-2},
pages = {22},
doi = {http://doi.ieeecomputersociety.org/10.1109/DICTA.2005.83},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Digital Image Computing: Techniques and Applications
TI - Translation Estimation from Omnidirectional Images
SN - 0-7695-2467-2
SP
EP
A1 - Jae-Hak Kim,
A1 - Richard Hartley,
PY - 2005
KW - null
VL - 0
JA - Digital Image Computing: Techniques and Applications
ER -
 
Jae-Hak Kim, Australian National University
Richard Hartley, Australian National University
We present a translation estimation method from omnidirectional images with missing data. Given omnidirectional images, it is possible to estimate the rotations of each camera using a fundamental matrix. We can thus get the translations of each camera using a plane-based projective reconstruction method. However, the plane-based translation estimation method does not give a robust result when there are measurement errors in the data. The method proposed in this paper solves this problem and shows more reliable results than the previous method.
Citation:
Jae-Hak Kim, Richard Hartley, "Translation Estimation from Omnidirectional Images," dicta, pp.22, Digital Image Computing: Techniques and Applications (DICTA'05), 2005
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