Scene Segmentation Based on NURBS Surface Fitting Metrics

Simple item page
dc.contributor.authorPagnutti, Giampaoloen_US
dc.contributor.authorZanuttigh, Pietroen_US
dc.contributor.editorAndrea Giachetti and Silvia Biasotti and Marco Tarinien_US
dc.date.accessioned2015-10-14T06:02:19Z
dc.date.available2015-10-14T06:02:19Z
dc.date.issued2015en_US
dc.description.abstractThis paper proposes a segmentation scheme jointly exploiting color and depth data within a recursive region splitting framework. A set of multi-dimensional vectors is built from color and depth data and the scene is segmented in two parts using normalized cuts spectral clustering. Then a NURBS model is fitted on each of the two parts and various metrics based on the surface fitting results are used to measure the plausibility that each segment represents a single surface or object. Segments that do not represent a single surface are recursively split in a tree-structured procedure until the final segmentation is obtained. Different metrics based on the fitting error and on the curvature of the fitted surfaces are presented and tested inside this framework. Experimental results show how a reliable scene segmentation can be obtained from this procedure.en_US
dc.description.sectionheaders3D Reconstructionen_US
dc.description.seriesinformationSmart Tools and Apps for Graphics - Eurographics Italian Chapter Conferenceen_US
dc.identifier.doi10.2312/stag.20151289en_US
dc.identifier.isbn978-3-905674-97-2en_US
dc.identifier.pages25-34en_US
dc.identifier.urihttps://doi.org/10.2312/stag.20151289en_US
dc.publisherThe Eurographics Associationen_US
dc.titleScene Segmentation Based on NURBS Surface Fitting Metricsen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
025-034.pdf
Size:
7.04 MB
Format:
Adobe Portable Document Format
Download
Collections
Italian Chapter Conference 2015 - Smart Tools and Apps in computer Graphics