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Block world reconstruction from spherical stereo image pairs

Kim, H and Hilton, A (2015) Block world reconstruction from spherical stereo image pairs Computer Vision and Image Understanding, 139. pp. 104-121.

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Abstract

We propose a block-based scene reconstruction method using multiple stereo pairs of spherical images. We assume that the urban scene consists of axis-aligned planar structures (Manhattan world). Captured spherical stereo images are converted into six central-point perspective images by cubic projection and fa\c cade alignment. Depth information is recovered by stereo matching between images. Semantic regions are segmented based on colour, edge and normal information. Independent 3D rectangular planes are constructed by fitting planes aligned with the principal axes of the segmented 3D points. Finally cuboid-based scene structure is recovered from multiple viewpoints by merging and refining planes based on connectivity and visibility. The reconstructed model efficiently shows the structure of the scene with a small amount of data.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Kim, HUNSPECIFIEDUNSPECIFIED
Hilton, AUNSPECIFIEDUNSPECIFIED
Date : 21 August 2015
Identification Number : 10.1016/j.cviu.2015.04.001
Uncontrolled Keywords : 3D reconstruction;, Scene modelling, Spherical imaging, Block world interpretation
Additional Information : © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Depositing User : Symplectic Elements
Date Deposited : 23 Sep 2015 14:14
Last Modified : 21 Aug 2016 01:08
URI: http://epubs.surrey.ac.uk/id/eprint/808470

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