Robust Gap Removal from Binary Volumes

Simple item page
dc.contributor.authorSobiecki, Andreen_US
dc.contributor.authorJalba, Andrei C.en_US
dc.contributor.authorTelea, Alexandruen_US
dc.contributor.editorT. Bashford-Rogers and L. P. Santosen_US
dc.date.accessioned2016-04-26T07:56:08Z
dc.date.available2016-04-26T07:56:08Z
dc.date.issued2016en_US
dc.description.abstractWe present a method for the robust detection and removal of cracks and holes from binary voxel shapes based on the shapes' surface and curve skeletons. For this, we first classify gaps or indentations in the input shape by their position with respect to the shape's curve skeleton, into details (which should be preserved) and defects (which should be removed). Next, we remove defects, and preserve details, by using a local reconstruction process that uses the shape's surface skeleton. We illustrate our method by comparing it against classical morphological solutions on a wide collection of real-world shapes.en_US
dc.description.sectionheadersModellingen_US
dc.description.seriesinformationEG 2016 - Short Papersen_US
dc.identifier.doi10.2312/egsh.20161004en_US
dc.identifier.issn1017-4656en_US
dc.identifier.pages17-20en_US
dc.identifier.urihttps://doi.org/10.2312/egsh.20161004en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleRobust Gap Removal from Binary Volumesen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
017-020.pdf
Size:
13.64 MB
Format:
Adobe Portable Document Format
Download
Collections
EG 2016 - Short Papers