Image-Based Registration of 3D-Range Data Using Feature Surface Elements

Simple item page
dc.contributor.authorBendels, Gerhard Heinrichen_US
dc.contributor.authorDegener, Patricken_US
dc.contributor.authorWahl, Rolanden_US
dc.contributor.authorKörtgen, Marcelen_US
dc.contributor.authorKlein, Reinharden_US
dc.contributor.editorY. Chrysanthou and K. Cain and N. Silberman and F. Niccoluccien_US
dc.date.accessioned2014-01-31T08:18:57Z
dc.date.available2014-01-31T08:18:57Z
dc.date.issued2004en_US
dc.description.abstractDigitizing real-life objects via range scanners, stereo vision or tactile sensors usually requires the composition of multiple range images. In this paper we exploit intensity images often recorded with the range data and propose a fully automatic registration technique using 2D-image features with intrinsic scale information for finding corresponding points on the 3D-views. In our approach, the fine registration of two range images is performed by first aligning the feature points themselves, followed by a so-called constrained-domain alignment step. In the latter, rather than feature points, we consider feature surface elements that are derived using the scale information inherently established with the 2D-features. The global registration error is minimized using graph relaxation techniques to mediate the transformations required to align the multiple range images. We demonstrate the power and feasibility of our method by a case-study in the cultural heritage domain.en_US
dc.description.seriesinformationVAST 2004: The 5th International Symposium on Virtual Reality, Archaeology and Cultural Heritageen_US
dc.identifier.isbn3-905673-18-5en_US
dc.identifier.issn1811-864Xen_US
dc.identifier.urihttps://doi.org/10.2312/VAST/VAST04/115-124en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors according to ACM CCS): I.3.8 [Computer Graphics]: Applications I.4.1 [Image Processing And Computer Vision]: Digitization and Image Captureen_US
dc.titleImage-Based Registration of 3D-Range Data Using Feature Surface Elementsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
115-124.pdf
Size:
3.5 MB
Format:
Adobe Portable Document Format
Download
Collections
VAST04: The 5th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage