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Room Layout Estimation with Object and Material Attributes Information using a Spherical Camera

Kim, Hansung, de Campos, T and Hilton, Adrian (2016) Room Layout Estimation with Object and Material Attributes Information using a Spherical Camera In: International Conference on 3D Vision, 2016-10-25 - 2016-10-28, Standford University, California, USA.

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Abstract

In this paper we propose a pipeline for estimating 3D room layout with object and material attribute prediction using a spherical stereo image pair. We assume that the room and objects can be represented as cuboids aligned to the main axes of the room coordinate (Manhattan world). A spherical stereo alignment algorithm is proposed to align two spherical images to the global world coordinate sys- tem. Depth information of the scene is estimated by stereo matching between images. Cubic projection images of the spherical RGB and estimated depth are used for object and material attribute detection. A single Convolutional Neu- ral Network is designed to assign object and attribute la- bels to geometrical elements built from the spherical image. Finally simplified room layout is reconstructed by cuboid fitting. The reconstructed cuboid-based model shows the structure of the scene with object information and material attributes.

Item Type: Conference or Workshop Item (Conference Poster)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Kim, HansungH.Kim@surrey.ac.ukUNSPECIFIED
de Campos, TUNSPECIFIEDUNSPECIFIED
Hilton, AdrianA.Hilton@surrey.ac.ukUNSPECIFIED
Date : 19 December 2016
Identification Number : 10.1109/3DV.2016.83
Copyright Disclaimer : © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 14 Oct 2016 09:33
Last Modified : 11 Jul 2017 07:46
URI: http://epubs.surrey.ac.uk/id/eprint/812397

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