The University of Southampton
University of Southampton Institutional Repository

Planar urban scene reconstruction from spherical images using facade alignment

Planar urban scene reconstruction from spherical images using facade alignment
Planar urban scene reconstruction from spherical images using facade alignment
We propose a plane-based urban scene reconstruction method using spherical stereo image pairs. We assume that the urban scene consists of axis-aligned approximately planar structures (Manhattan world). Captured spherical stereo images are converted into six central-point perspective images by cubic projection and facade alignment. Facade alignment automatically identifies the principal planes direction in the scene allowing the cubic projection to preserve the plane structure. Depth information is recovered by stereo matching between images and independent 3D rectangular planes are constructed by plane fitting aligned with the principal axes. Finally planar regions are refined by expanding, detecting intersections and cropping based on visibility. The reconstructed model efficiently represents the structure of the scene and texture mapping allows natural walk-through rendering. © 2013 IEEE.
3D reconstruction, Depth information, Manhattan worlds, Perspective image, Planar structure, Principal planes, Spherical images, Spherical imaging, Alignment, Facades, Image segmentation, Spheres, Video cameras, Three dimensional
1-4
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) Planar urban scene reconstruction from spherical images using facade alignment. IEEE 11th Image, Video and Multidimensional Signal Processing (IVMSP) Workshop, Seoul, Korea, Republic of. 09 - 11 Jun 2013. pp. 1-4 . (doi:10.1109/IVMSPW.2013.6611923).

Record type: Conference or Workshop Item (Paper)

Abstract

We propose a plane-based urban scene reconstruction method using spherical stereo image pairs. We assume that the urban scene consists of axis-aligned approximately planar structures (Manhattan world). Captured spherical stereo images are converted into six central-point perspective images by cubic projection and facade alignment. Facade alignment automatically identifies the principal planes direction in the scene allowing the cubic projection to preserve the plane structure. Depth information is recovered by stereo matching between images and independent 3D rectangular planes are constructed by plane fitting aligned with the principal axes. Finally planar regions are refined by expanding, detecting intersections and cropping based on visibility. The reconstructed model efficiently represents the structure of the scene and texture mapping allows natural walk-through rendering. © 2013 IEEE.

Full text not available from this repository.

More information

e-pub ahead of print date: 10 June 2013
Additional Information: cited By 5
Venue - Dates: IEEE 11th Image, Video and Multidimensional Signal Processing (IVMSP) Workshop, Seoul, Korea, Republic of, 2013-06-09 - 2013-06-11
Keywords: 3D reconstruction, Depth information, Manhattan worlds, Perspective image, Planar structure, Principal planes, Spherical images, Spherical imaging, Alignment, Facades, Image segmentation, Spheres, Video cameras, Three dimensional

Identifiers

Local EPrints ID: 440583
URI: http://eprints.soton.ac.uk/id/eprint/440583
PURE UUID: 9c51e4db-865e-4c74-a340-fad5684be561
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

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×