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Translation Estimation from Omnidirectional Images

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Date

2005

Authors

Kim, Jae-Hak
Hartley, Richard

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

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.

Description

Keywords

Keywords: Cameras; Estimation; Matrix algebra; Measurement errors; Problem solving; Robustness (control systems); Missing data; Omnidirectional images; Projective reconstruction method; Translation estimation method; Image reconstruction

Citation

URI

http://hdl.handle.net/1885/81446

Collections

ANU Research Publications

Source

Proceedings of the Digital Imaging Computing: Techniques and Applications (DICTA 2005)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/DICTA.2005.1578120

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