Abstraction of man-made shapes

Handle URI:
http://hdl.handle.net/10754/575741
Title:
Abstraction of man-made shapes
Authors:
Mehra, Ravish; Zhou, Qingnan; Long, Jeremy; Sheffer, Alla; Gooch, Amy Ashurst; Mitra, Niloy J. ( 0000-0002-2597-0914 )
Abstract:
Man-made objects are ubiquitous in the real world and in virtual environments. While such objects can be very detailed, capturing every small feature, they are often identified and characterized by a small set of defining curves. Compact, abstracted shape descriptions based on such curves are often visually more appealing than the original models, which can appear to be visually cluttered. We introduce a novel algorithm for abstracting three-dimensional geometric models using characteristic curves or contours as building blocks for the abstraction. Our method robustly handles models with poor connectivity, including the extreme cases of polygon soups, common in models of man-made objects taken from online repositories. In our algorithm, we use a two-step procedure that first approximates the input model using a manifold, closed envelope surface and then extracts from it a hierarchical abstraction curve network along with suitable normal information. The constructed curve networks form a compact, yet powerful, representation for the input shapes, retaining their key shape characteristics while discarding minor details and irregularities. © 2009 ACM.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Association for Computing Machinery (ACM)
Journal:
ACM SIGGRAPH Asia 2009 papers on - SIGGRAPH Asia '09
Conference/Event name:
SIGGRAPH Asia 2009
Issue Date:
2009
DOI:
10.1145/1661412.1618483
Type:
Conference Paper
ISSN:
07300301
ISBN:
9781605588582
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorMehra, Ravishen
dc.contributor.authorZhou, Qingnanen
dc.contributor.authorLong, Jeremyen
dc.contributor.authorSheffer, Allaen
dc.contributor.authorGooch, Amy Ashursten
dc.contributor.authorMitra, Niloy J.en
dc.date.accessioned2015-08-24T09:24:53Zen
dc.date.available2015-08-24T09:24:53Zen
dc.date.issued2009en
dc.identifier.isbn9781605588582en
dc.identifier.issn07300301en
dc.identifier.doi10.1145/1661412.1618483en
dc.identifier.urihttp://hdl.handle.net/10754/575741en
dc.description.abstractMan-made objects are ubiquitous in the real world and in virtual environments. While such objects can be very detailed, capturing every small feature, they are often identified and characterized by a small set of defining curves. Compact, abstracted shape descriptions based on such curves are often visually more appealing than the original models, which can appear to be visually cluttered. We introduce a novel algorithm for abstracting three-dimensional geometric models using characteristic curves or contours as building blocks for the abstraction. Our method robustly handles models with poor connectivity, including the extreme cases of polygon soups, common in models of man-made objects taken from online repositories. In our algorithm, we use a two-step procedure that first approximates the input model using a manifold, closed envelope surface and then extracts from it a hierarchical abstraction curve network along with suitable normal information. The constructed curve networks form a compact, yet powerful, representation for the input shapes, retaining their key shape characteristics while discarding minor details and irregularities. © 2009 ACM.en
dc.publisherAssociation for Computing Machinery (ACM)en
dc.subjectCurve networken
dc.subjectNPRen
dc.subjectPerceptionen
dc.subjectShape analysisen
dc.titleAbstraction of man-made shapesen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalACM SIGGRAPH Asia 2009 papers on - SIGGRAPH Asia '09en
dc.conference.date2009-12-19en
dc.conference.nameSIGGRAPH Asia 2009en
dc.conference.locationYokohama, Japanen
dc.contributor.institutionUniv. of British Columbia, Canadaen
dc.contributor.institutionIIT Delhi, Indiaen
dc.contributor.institutionUniv. of Victoria, Canadaen
kaust.authorMitra, Niloy J.en
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