2.50
Hdl Handle:
http://hdl.handle.net/10547/271658
Title:
3D surface reconstruction from multiview photographic images using 2D edge contours
Authors:
Prakoonwit, Simant; Benjamin, Ralph
Abstract:
Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method.
Affiliation:
Department of Computer Science and Technology, University of Bedfordshire
Citation:
Prakoonwit, S., Benjamin, R. (2012) '3D surface reconstruction from multiview photographic images using 2D edge contours' 3D Research 3(4):6-18
Publisher:
SpringerLink
Journal:
3D Research
Issue Date:
2012
URI:
http://hdl.handle.net/10547/271658
DOI:
10.1007/3DRes.04(2012)6
Additional Links:
http://www.springerlink.com/index/10.1007/3DRes.04(2012)6
Type:
Article
Language:
en
ISSN:
2092-6731
Appears in Collections:
Centre for Computer Graphics and Visualisation (CCGV)

Full metadata record

DC FieldValue Language
dc.contributor.authorPrakoonwit, Simanten_GB
dc.contributor.authorBenjamin, Ralphen_GB
dc.date.accessioned2013-03-11T12:13:24Z-
dc.date.available2013-03-11T12:13:24Z-
dc.date.issued2012-
dc.identifier.citationPrakoonwit, S., Benjamin, R. (2012) '3D surface reconstruction from multiview photographic images using 2D edge contours' 3D Research 3(4):6-18en_GB
dc.identifier.issn2092-6731-
dc.identifier.doi10.1007/3DRes.04(2012)6-
dc.identifier.urihttp://hdl.handle.net/10547/271658-
dc.description.abstractMost techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method.en_GB
dc.language.isoenen
dc.publisherSpringerLinken_GB
dc.relation.urlhttp://www.springerlink.com/index/10.1007/3DRes.04(2012)6en_GB
dc.rightsArchived with thanks to 3D Researchen_GB
dc.subject3D reconstructionen_GB
dc.subjectapparent contouren_GB
dc.subjectcontour generatoren_GB
dc.title3D surface reconstruction from multiview photographic images using 2D edge contoursen
dc.typeArticleen
dc.contributor.departmentDepartment of Computer Science and Technology, University of Bedfordshireen_GB
dc.identifier.journal3D Researchen_GB
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