Towards Object Recognition using HDR Video, Stereoscopic Depth Information and SIFT

Simple item page
dc.contributor.authorMay, Michaelen_US
dc.contributor.authorMorris, Timen_US
dc.contributor.authorMarkham, Keithen_US
dc.contributor.authorCrowther, William J.en_US
dc.contributor.authorTurner, Martin J.en_US
dc.contributor.editorWen Tang and John Collomosseen_US
dc.date.accessioned2014-01-31T20:06:47Z
dc.date.available2014-01-31T20:06:47Z
dc.date.issued2009en_US
dc.description.abstractIn this paper we propose a framework that will recognise objects from a moving platform using scale invariant features, high dynamic range (HDR) video and stereoscopic depth information. The paper focuses on initial work involving feature extraction from HDR images using SIFT. Initial results show an increase in the number of features extracted from HDR images compared to conventional, low dynamic range (LDR), images.en_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-71-5en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG09/165-168en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.9 [Image Processing and Computer Vision]: Applications I.4.6 [Image Processing and Computer Vision]: Edge and Feature Detectionen_US
dc.titleTowards Object Recognition using HDR Video, Stereoscopic Depth Information and SIFTen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
165-168.pdf
Size:
1.33 MB
Format:
Adobe Portable Document Format
Download
Collections
EG UK Theory and Practice of Computer Graphics 2009