Translation estimation from omnidirectional images

Jae Hak Kim; Richard Hartley

doi:10.1109/DICTA.2005.1578120

Translation estimation from omnidirectional images

Jae Hak Kim^*, Richard Hartley

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

5 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the Digital Imaging Computing
Subtitle of host publication	Techniques and Applications, DICTA 2005
Pages	148-153
Number of pages	6
DOIs	https://doi.org/10.1109/DICTA.2005.1578120
Publication status	Published - 2005
Event	Digital Imaging Computing: Techniques and Applications, DICTA 2005 - Cairns, Australia Duration: 6 Dec 2005 → 8 Dec 2005

Publication series

Name	Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005
Volume	2005

Conference

Conference	Digital Imaging Computing: Techniques and Applications, DICTA 2005
Country/Territory	Australia
City	Cairns
Period	6/12/05 → 8/12/05

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10.1109/DICTA.2005.1578120

Cite this

@inproceedings{21c712bc38794dd69c4daf127440d73e,

title = "Translation estimation from omnidirectional images",

abstract = "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.",

author = "Kim, {Jae Hak} and Richard Hartley",

year = "2005",

doi = "10.1109/DICTA.2005.1578120",

language = "English",

isbn = "0769524672",

series = "Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005",

pages = "148--153",

booktitle = "Proceedings of the Digital Imaging Computing",

note = "Digital Imaging Computing: Techniques and Applications, DICTA 2005 ; Conference date: 06-12-2005 Through 08-12-2005",

}

Kim, JH & Hartley, R 2005, Translation estimation from omnidirectional images. in Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005., 1578120, Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005, vol. 2005, pp. 148-153, Digital Imaging Computing: Techniques and Applications, DICTA 2005, Cairns, Australia, 6/12/05. https://doi.org/10.1109/DICTA.2005.1578120

Translation estimation from omnidirectional images. / Kim, Jae Hak; Hartley, Richard.
Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005. 2005. p. 148-153 1578120 (Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

TY - GEN

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AU - Kim, Jae Hak

AU - Hartley, Richard

PY - 2005

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N2 - 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.

AB - 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.

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U2 - 10.1109/DICTA.2005.1578120

DO - 10.1109/DICTA.2005.1578120

M3 - Conference Paper

SN - 0769524672

SN - 9780769524672

T3 - Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005

SP - 148

EP - 153

BT - Proceedings of the Digital Imaging Computing

T2 - Digital Imaging Computing: Techniques and Applications, DICTA 2005

Y2 - 6 December 2005 through 8 December 2005

ER -

Translation estimation from omnidirectional images

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