Dense Rigid Reconstruction from Unstructured Discontinuous Video

Lebeda, K, Hadfield, S and Bowden, R (2015) Dense Rigid Reconstruction from Unstructured Discontinuous Video In: 5th IEEE Workshop on 3D Representation and Recognition (3dRR-15), ICCV 2015, 2015-12-07 - 2015-12-13, Santiago.

Preview	Text Dense Rigid Reconstruction from Unstructured Discontinuous Video.pdf - Accepted version Manuscript Available under License : See the attached licence file. Download (1MB) | Preview
Preview	PDF (licence) SRI_deposit_agreement.pdf Available under License : See the attached licence file. Download (33kB) | Preview

Abstract

Although 3D reconstruction from a monocular video has been an active area of research for a long time, and the resulting models offer great realism and accuracy, strong conditions must be typically met when capturing the video to make this possible. This prevents general reconstruction of moving objects in dynamic, uncontrolled scenes. In this paper, we address this issue. We present a novel algorithm for modelling 3D shapes from unstructured, unconstrained discontinuous footage. The technique is robust against distractors in the scene, background clutter and even shot cuts. We show reconstructed models of objects, which could not be modelled by conventional Structure from Motion methods without additional input. Finally, we present results of our reconstruction in the presence of shot cuts, showing the strength of our technique at modelling from existing footage.

Item Type:	Conference or Workshop Item (Conference Paper)
Subjects :	CVSSP
Authors :	Authors Email ORCID Lebeda, K UNSPECIFIED UNSPECIFIED Hadfield, S UNSPECIFIED UNSPECIFIED Bowden, R UNSPECIFIED UNSPECIFIED
Date :	16 December 2015
Identification Number :	https://doi.org/10.1109/ICCVW.2015.110
Copyright Disclaimer :	© 2015 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
Depositing User :	Symplectic Elements
Date Deposited :	21 Apr 2016 08:55
Last Modified :	21 Apr 2016 08:55
URI:	http://epubs.surrey.ac.uk/id/eprint/810268

Actions (login required)

View Item

Downloads