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3D scene reconstruction from multiple spherical stereo pairs

3D scene reconstruction from multiple spherical stereo pairs
3D scene reconstruction from multiple spherical stereo pairs
We propose a 3D environment modelling method using multiple pairs of high-resolution spherical images. Spherical images of a scene are captured using a rotating line scan camera. Reconstruction is based on stereo image pairs with a vertical displacement between camera views. A 3D mesh model for each pair of spherical images is reconstructed by stereo matching. For accurate surface reconstruction, we propose a PDE-based disparity estimation method which produces continuous depth fields with sharp depth discontinuities even in occluded and highly textured regions. A full environment model is constructed by fusion of partial reconstruction from spherical stereo pairs at multiple widely spaced locations. To avoid camera calibration steps for all camera locations, we calculate 3D rigid transforms between capture points using feature matching and register all meshes into a unified coordinate system. Finally a complete 3D model of the environment is generated by selecting the most reliable observations among overlapped surface measurements considering surface visibility, orientation and distance from the camera. We analyse the characteristics and behaviour of errors for spherical stereo imaging. Performance of the proposed algorithm is evaluated against ground-truth from the Middlebury stereo test bed and LIDAR scans. Results are also compared with conventional structure-from-motion algorithms. The final composite model is rendered from a wide range of viewpoints with high quality textures. © 2013 Springer Science+Business Media New York.
3D reconstruction, 3D scene reconstruction, Depth discontinuities, Disparity estimations, Environment modelling, Mesh integration, Structure from motion, Vertical displacements, Algorithms, Cameras, Equipment testing, Spheres, Surface measurement, Three dimensional
94-116
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 (2013) 3D scene reconstruction from multiple spherical stereo pairs. International Journal of Computer Vision, 104 (1), 94-116. (doi:10.1007/s11263-013-0616-1).

Record type: Article

Abstract

We propose a 3D environment modelling method using multiple pairs of high-resolution spherical images. Spherical images of a scene are captured using a rotating line scan camera. Reconstruction is based on stereo image pairs with a vertical displacement between camera views. A 3D mesh model for each pair of spherical images is reconstructed by stereo matching. For accurate surface reconstruction, we propose a PDE-based disparity estimation method which produces continuous depth fields with sharp depth discontinuities even in occluded and highly textured regions. A full environment model is constructed by fusion of partial reconstruction from spherical stereo pairs at multiple widely spaced locations. To avoid camera calibration steps for all camera locations, we calculate 3D rigid transforms between capture points using feature matching and register all meshes into a unified coordinate system. Finally a complete 3D model of the environment is generated by selecting the most reliable observations among overlapped surface measurements considering surface visibility, orientation and distance from the camera. We analyse the characteristics and behaviour of errors for spherical stereo imaging. Performance of the proposed algorithm is evaluated against ground-truth from the Middlebury stereo test bed and LIDAR scans. Results are also compared with conventional structure-from-motion algorithms. The final composite model is rendered from a wide range of viewpoints with high quality textures. © 2013 Springer Science+Business Media New York.

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More information

Published date: 3 March 2013
Keywords: 3D reconstruction, 3D scene reconstruction, Depth discontinuities, Disparity estimations, Environment modelling, Mesh integration, Structure from motion, Vertical displacements, Algorithms, Cameras, Equipment testing, Spheres, Surface measurement, Three dimensional

Identifiers

Local EPrints ID: 440581
URI: http://eprints.soton.ac.uk/id/eprint/440581
PURE UUID: 09503948-f63e-4f60-be44-021429ebc2e9
ORCID for H. Kim: ORCID iD orcid.org/0000-0003-4907-0491

Catalogue record

Date deposited: 07 May 2020 16:38
Last modified: 23 May 2020 00:47

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