Web-based visualisation of on-set point cloud data

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• dc.contributor.author Evans, Alun Thomasca
• dc.contributor.author Agenjo, Javierca
• dc.contributor.author Blat, Josepca
• dc.date.accessioned 2018-10-04T12:13:51Z
• dc.date.available 2018-10-04T12:13:51Z
• dc.date.issued 2014
• dc.description Comunicació presentada a la 11th European Conference on Visual Media Production, celebrada a Londres els dies 13 i 14 de novembre de 2014.
• dc.description.abstract In this paper we present a system for progressive encoding, storage, transmission, and web based visualization of large point cloud datasets. Point cloud data is typically recorded on-set during a film production, and is later used to assist with various stages of the post-production process. The remote visualization of this data (on or off-set, either via desktop or mobile device) can be difficult, as the volume of data can take a long time to be transferred, and can easily overwhelm the memory of a typical 3D web or mobile client. Yet web-based visualization of this data opens up many possibilities for remote and collaborative workflow models. In order to facilitate this workflow, we present a system to progressively transfer point cloud data to a WebGL based client, updating the visualisation as more information is downloaded and maintaining a coherent structure at lower resolutions. Existing work on progressive transfer of 3D assets has focused on well-formed triangle meshes, and thus is unsuitable for use with raw LIDAR data. Our work addresses this challenge directly, and as such the principal contribution is that it is the first published method of progressive visualization of point cloud data via the web.
• dc.description.sponsorship This work has been partially funded by the Spanish Ministry of Science and Innovation (TIN2011-28308-C03-03), and the IMPART FP7 European Research project (http://impart.upf.edu).
• dc.format.mimetype application/pdf
• dc.identifier.citation Evans A, Agenjo J, Blat J. Web-based visualisation of on-set point cloud data. In: Proceedings of the 11th European Conference on Visual Media Production (CVMP 2014); 2014 Nov 13-14; London, United Kingdom. New York: ACM; 2014. DOI: 10.1145/2668904.2668937
• dc.identifier.doi http://dx.doi.org/10.1145/2668904.2668937
• dc.identifier.isbn 978-1-4503-3185-2
• dc.identifier.uri http://hdl.handle.net/10230/35562
• dc.language.iso eng
• dc.publisher ACM Association for Computer Machineryca
• dc.relation.ispartof Proceedings of the 11th European Conference on Visual Media Production (CVMP 2014); 2014 Nov 13-14; London, United Kingdom. New York: ACM; 2014.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/316564
• dc.relation.projectID info:eu-repo/grantAgreement/ES/PN/2011-28308-C03-03
• dc.rights © ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 11th European Conference on Visual Media Production (CVMP 2014); 2014 Nov 13-14; London, United Kingdom. New York: ACM; 2014. http://doi.acm.org/10.1145/2668904.2668937
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Visualisation
• dc.subject.keyword 3D
• dc.subject.keyword Pointcloud
• dc.subject.keyword Progressive
• dc.subject.keyword WebGL
• dc.title Web-based visualisation of on-set point cloud dataca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion