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Article: Photogrammetric reconstruction of free-form objects with curvilinear structures

TitlePhotogrammetric reconstruction of free-form objects with curvilinear structures
Authors
KeywordsBundle Adjustment
Constrained Delaunay Triangulation
Curve Reconstruction
Image-Based Modeling
Thin-Plate Splines
Issue Date2005
PublisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00371/index.htm
Citation
Visual Computer, 2005, v. 21 n. 4, p. 203-216 How to Cite?
AbstractThe shapes of many natural or man-made objects have curve features. The images of such curves usually do not have sufficient distinctive features to apply conventional feature-based reconstruction algorithms. In this paper, we introduce a photogrammetric method for recovering free-form objects with curvilinear structures. Our method chooses to obtain the topology and geometry of a sparse 3D wireframe of the object first instead of directly recovering a surface or volume model. Surface patches covering the object are then constructed to interpolate the curves in this wireframe while satisfying certain heuristics such as minimal bending energy. The result is an object surface model with curvilinear structures from a sparse set of images. We can produce realistic texture-mapped renderings of the object model from arbitrary viewpoints. Reconstruction results on multiple real objects are presented to demonstrate the effectiveness of our approach. © Springer-Verlag 2005.
Persistent Identifierhttp://hdl.handle.net/10722/152321
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.778
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWu, Hen_US
dc.contributor.authorYu, Yen_US
dc.date.accessioned2012-06-26T06:37:10Z-
dc.date.available2012-06-26T06:37:10Z-
dc.date.issued2005en_US
dc.identifier.citationVisual Computer, 2005, v. 21 n. 4, p. 203-216en_US
dc.identifier.issn0178-2789en_US
dc.identifier.urihttp://hdl.handle.net/10722/152321-
dc.description.abstractThe shapes of many natural or man-made objects have curve features. The images of such curves usually do not have sufficient distinctive features to apply conventional feature-based reconstruction algorithms. In this paper, we introduce a photogrammetric method for recovering free-form objects with curvilinear structures. Our method chooses to obtain the topology and geometry of a sparse 3D wireframe of the object first instead of directly recovering a surface or volume model. Surface patches covering the object are then constructed to interpolate the curves in this wireframe while satisfying certain heuristics such as minimal bending energy. The result is an object surface model with curvilinear structures from a sparse set of images. We can produce realistic texture-mapped renderings of the object model from arbitrary viewpoints. Reconstruction results on multiple real objects are presented to demonstrate the effectiveness of our approach. © Springer-Verlag 2005.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00371/index.htmen_US
dc.relation.ispartofVisual Computeren_US
dc.subjectBundle Adjustmenten_US
dc.subjectConstrained Delaunay Triangulationen_US
dc.subjectCurve Reconstructionen_US
dc.subjectImage-Based Modelingen_US
dc.subjectThin-Plate Splinesen_US
dc.titlePhotogrammetric reconstruction of free-form objects with curvilinear structuresen_US
dc.typeArticleen_US
dc.identifier.emailYu, Y:yzyu@cs.hku.hken_US
dc.identifier.authorityYu, Y=rp01415en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s00371-005-0281-7en_US
dc.identifier.scopuseid_2-s2.0-18844440409en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-18844440409&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume21en_US
dc.identifier.issue4en_US
dc.identifier.spage203en_US
dc.identifier.epage216en_US
dc.identifier.isiWOS:000229274900001-
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridWu, H=8375851700en_US
dc.identifier.scopusauthoridYu, Y=8554163500en_US
dc.identifier.issnl0178-2789-

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