Multiview specular stereo reconstruction of large mirror surfaces

Handle URI:
http://hdl.handle.net/10754/564391
Title:
Multiview specular stereo reconstruction of large mirror surfaces
Authors:
Balzer, Jonathan; Höler, Sebastian; Beyerer, Jürgen
Abstract:
In deflectometry, the shape of mirror objects is recovered from distorted images of a calibrated scene. While remarkably high accuracies are achievable, state-of-the-art methods suffer from two distinct weaknesses: First, for mainly constructive reasons, these can only capture a few square centimeters of surface area at once. Second, reconstructions are ambiguous i.e. infinitely many surfaces lead to the same visual impression. We resolve both of these problems by introducing the first multiview specular stereo approach, which jointly evaluates a series of overlapping deflectometric images. Two publicly available benchmarks accompany this paper, enabling us to numerically demonstrate viability and practicability of our approach. © 2011 IEEE.
KAUST Department:
Visual Computing Center (VCC)
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
CVPR 2011
Conference/Event name:
2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011
Issue Date:
Jun-2011
DOI:
10.1109/CVPR.2011.5995346
Type:
Conference Paper
ISSN:
10636919
ISBN:
9781457703942
Appears in Collections:
Conference Papers; Visual Computing Center (VCC)

Full metadata record

DC FieldValue Language
dc.contributor.authorBalzer, Jonathanen
dc.contributor.authorHöler, Sebastianen
dc.contributor.authorBeyerer, Jürgenen
dc.date.accessioned2015-08-04T06:25:56Zen
dc.date.available2015-08-04T06:25:56Zen
dc.date.issued2011-06en
dc.identifier.isbn9781457703942en
dc.identifier.issn10636919en
dc.identifier.doi10.1109/CVPR.2011.5995346en
dc.identifier.urihttp://hdl.handle.net/10754/564391en
dc.description.abstractIn deflectometry, the shape of mirror objects is recovered from distorted images of a calibrated scene. While remarkably high accuracies are achievable, state-of-the-art methods suffer from two distinct weaknesses: First, for mainly constructive reasons, these can only capture a few square centimeters of surface area at once. Second, reconstructions are ambiguous i.e. infinitely many surfaces lead to the same visual impression. We resolve both of these problems by introducing the first multiview specular stereo approach, which jointly evaluates a series of overlapping deflectometric images. Two publicly available benchmarks accompany this paper, enabling us to numerically demonstrate viability and practicability of our approach. © 2011 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleMultiview specular stereo reconstruction of large mirror surfacesen
dc.typeConference Paperen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journalCVPR 2011en
dc.conference.date20 June 2011 through 25 June 2011en
dc.conference.name2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011en
dc.conference.locationColorado Springs, COen
dc.contributor.institutionKIT, 76131 Karlsruhe, Germanyen
dc.contributor.institutionFraunhofer IOSB, 76131 Karlsruhe, Germanyen
kaust.authorBalzer, Jonathanen
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