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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorVaxman, A.
dc.contributor.advisorKreveld, M. van
dc.contributor.authorMarcus, R.C.
dc.date.accessioned2017-04-24T17:03:24Z
dc.date.available2017-04-24T17:03:24Z
dc.date.issued2017
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/25769
dc.description.abstractWe present a voxel-based surface representation that contains level of detail (LOD) independent surfaces. We approximate the surface in every voxel by storing scalar data in every corner. The representation is close to the original surface in terms of contour information. In order to preserve the contour as accurately as possible, we introduce a new error metric that operates on the voxels. By simplifying voxels that contain the least amount of contour information, we achieve a voxel structure with low memory requirements. Our error metric correlates the level of detail with the amount of error of the surface approximation. We can create a model to a specific level of detail by constraining either maximum memory requirements, or the maximum allowed error of the approximation, with respect to the original model.
dc.description.sponsorshipUtrecht University
dc.format.extent14515266
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleLevel-of-Detail Independent Voxel-Based Surface Approximations
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsVolumetric data, Voxels, Surface approximation
dc.subject.courseuuGame and Media Technology


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