title: Automatic video to point cloud registration in a structure-from- motion framework
creator: Vidal, Esteban
creator: Piotto, Nicola
creator: Cordara, Giovanni
creator: Morán Burgos, Francisco
subject: Telecommunications
description: In Structure-from-Motion (SfM) applications, the capability of integrating new visual information into existing 3D models is an important need. In particular, video streams could bring significant advantages, since they provide dense and redundant information, even if normally only relative to a limited portion of the scene. In this work we propose a fast technique to reliably integrate local but dense information from videos into existing global but sparse 3D models. We show how to extract from the video data local 3D information that can be easily processed allowing incremental growing, refinement, and update of the existing 3D models. The proposed technique has been tested against two state-of-the-art SfM algorithms, showing significant improvements in terms of computational time and final point cloud density.
publisher: E.T.S.I. Telecomunicación (UPM)
rights: https://creativecommons.org/licenses/by-nc-nd/3.0/es/
date: 2015
type: info:eu-repo/semantics/conferenceObject
type: Presentation at Congress or Conference
source: International Conference on Image Processing (ICIP 2015) | International Conference on Image Processing (ICIP 2015) | 27/09/2015 - 30/09/2015 | Quebec City, Canada
type: PeerReviewed
format: application/pdf
language: eng
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7351282
relation: info:eu-repo/grantAgreement/EC/FP7/610691
rights: info:eu-repo/semantics/openAccess
identifier: https://oa.upm.es/41384/