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Environment modelling using spherical stereo imaging

Environment modelling using spherical stereo imaging
Environment modelling using spherical stereo imaging
We propose an environment modelling method using high-resolution spherical stereo colour imaging. We capture indoor or outdoor scenes with line scanning by a rotating spherical camera and recover depth information from a stereo image pair using correspondence matching and spherical cross-slits stereo geometry. The existing single spherical imaging technique is extended to stereo geometry and a hierarchical PDE-based sub-pixel disparity estimation method for large images is proposed. The estimated floating-point disparity fields are used for generating an accurate and smooth depth. Finally, the 3D environments were reconstructed using triangular meshes from the depth field. Through experiments, we evaluate the accuracy of reconstruction against ground-truth and analyze the behaviour of errors for spherical stereo imaging. ©2009 IEEE.
3-D environments, Depth information, Environment modelling, High resolution, Large images, Linescanning, Outdoor scenes, Spherical imaging, Spherical stereo, Stereo geometry, Stereo image pairs, Sub-pixel disparity, Triangular meshes, Computer vision, Image coding, Imaging techniques, Spheres
1534-1541
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db

Kim, H. and Hilton, Adrian (2010) Environment modelling using spherical stereo imaging. IEEE 12th International Conference on Computer Vision Workshops, Japan. 27 Sep - 04 Oct 2009. pp. 1534-1541 . (doi:10.1109/ICCVW.2009.5457429).

Record type: Conference or Workshop Item (Paper)

Abstract

We propose an environment modelling method using high-resolution spherical stereo colour imaging. We capture indoor or outdoor scenes with line scanning by a rotating spherical camera and recover depth information from a stereo image pair using correspondence matching and spherical cross-slits stereo geometry. The existing single spherical imaging technique is extended to stereo geometry and a hierarchical PDE-based sub-pixel disparity estimation method for large images is proposed. The estimated floating-point disparity fields are used for generating an accurate and smooth depth. Finally, the 3D environments were reconstructed using triangular meshes from the depth field. Through experiments, we evaluate the accuracy of reconstruction against ground-truth and analyze the behaviour of errors for spherical stereo imaging. ©2009 IEEE.

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More information

e-pub ahead of print date: 27 September 2009
Published date: 3 May 2010
Additional Information: cited By 3
Venue - Dates: IEEE 12th International Conference on Computer Vision Workshops, Japan, 2009-09-27 - 2009-10-04
Keywords: 3-D environments, Depth information, Environment modelling, High resolution, Large images, Linescanning, Outdoor scenes, Spherical imaging, Spherical stereo, Stereo geometry, Stereo image pairs, Sub-pixel disparity, Triangular meshes, Computer vision, Image coding, Imaging techniques, Spheres

Identifiers

Local EPrints ID: 440568
URI: http://eprints.soton.ac.uk/id/eprint/440568
PURE UUID: 4a14317a-892f-4b59-9ca4-0590d86d49e7
ORCID for H. Kim: ORCID iD orcid.org/0000-0003-4907-0491

Catalogue record

Date deposited: 07 May 2020 16:37
Last modified: 23 May 2020 00:47

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