Show simple item record

dc.contributor.authorDagher, Joseph C.
dc.contributor.authorMarcellin, Michael W.
dc.contributor.authorNeifeld, Mark A.
dc.date.accessioned2016-04-29T17:25:29Zen
dc.date.available2016-04-29T17:25:29Zen
dc.date.issued2003-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/607450en
dc.descriptionInternational Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevadaen_US
dc.description.abstractWe develop novel methods for compressing volumetric imagery that has been generated by single platform (mobile) range sensors. We exploit the correlation structure inherent in multiple views in order to improve compression efficiency. We show that, for lossy compression, three-dimensional volumes compress more efficiently than two-dimensional (2D) images. In fact, our error metric suggests that accumulating more than 9 range images in one volume before compression yields up to a 99% improvement in compression performance over 2D compression.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.subjectCompressionen
dc.subjectLaser RADARen
dc.subjectVolumetric Imageryen
dc.subjectRange Imageryen
dc.titleCOMPRESSION FOR STORAGE AND TRANSMISSION OF LASER RADAR MEASUREMENTSen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentUniversity of Arizonaen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
refterms.dateFOA2018-09-11T09:43:40Z
html.description.abstractWe develop novel methods for compressing volumetric imagery that has been generated by single platform (mobile) range sensors. We exploit the correlation structure inherent in multiple views in order to improve compression efficiency. We show that, for lossy compression, three-dimensional volumes compress more efficiently than two-dimensional (2D) images. In fact, our error metric suggests that accumulating more than 9 range images in one volume before compression yields up to a 99% improvement in compression performance over 2D compression.


Files in this item

Thumbnail
Name:
ITC_2003_03-29-01.pdf
Size:
626.9Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record