Cavlectometry: Towards holistic reconstruction of large mirror objects

Handle URI:
http://hdl.handle.net/10754/575828
Title:
Cavlectometry: Towards holistic reconstruction of large mirror objects
Authors:
Balzer, Jonathan; Acevedo-Feliz, Daniel; Soatto, Stefano; Höfer, Sebastian G.; Hadwiger, Markus ( 0000-0003-1239-4871 ) ; Beyerer, Jürgen
Abstract:
We introduce a method based on the deflectometry principle for the reconstruction of specular objects exhibiting significant size and geometric complexity. A key feature of our approach is the deployment of an Automatic Virtual Environment (CAVE) as pattern generator. To unfold the full power of this experimental setup, an optical encoding scheme is developed which accounts for the distinctive topology of the CAVE. Furthermore, we devise an algorithm for detecting the object of interest in raw deflectometric images. The segmented foreground is used for single-view reconstruction, the background for estimation of the camera pose, necessary for calibrating the sensor system. Experiments suggest a significant gain of coverage in single measurements compared to previous methods. © 2014 IEEE.
KAUST Department:
KAUST Visualization Laboratory (KVL); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program; Visual Computing Center (VCC)
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 2nd International Conference on 3D Vision
Conference/Event name:
2014 2nd International Conference on 3D Vision, 3DV 2014
Issue Date:
Dec-2014
DOI:
10.1109/3DV.2014.85
Type:
Conference Paper
ISBN:
9781479970018
Appears in Collections:
Conference Papers; Computer Science Program; Computer Science Program; Visual Computing Center (VCC); Visual Computing Center (VCC); KAUST Visualization Laboratory (KVL); KAUST Visualization Laboratory (KVL); 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.authorBalzer, Jonathanen
dc.contributor.authorAcevedo-Feliz, Danielen
dc.contributor.authorSoatto, Stefanoen
dc.contributor.authorHöfer, Sebastian G.en
dc.contributor.authorHadwiger, Markusen
dc.contributor.authorBeyerer, Jürgenen
dc.date.accessioned2015-08-24T09:27:16Zen
dc.date.available2015-08-24T09:27:16Zen
dc.date.issued2014-12en
dc.identifier.isbn9781479970018en
dc.identifier.doi10.1109/3DV.2014.85en
dc.identifier.urihttp://hdl.handle.net/10754/575828en
dc.description.abstractWe introduce a method based on the deflectometry principle for the reconstruction of specular objects exhibiting significant size and geometric complexity. A key feature of our approach is the deployment of an Automatic Virtual Environment (CAVE) as pattern generator. To unfold the full power of this experimental setup, an optical encoding scheme is developed which accounts for the distinctive topology of the CAVE. Furthermore, we devise an algorithm for detecting the object of interest in raw deflectometric images. The segmented foreground is used for single-view reconstruction, the background for estimation of the camera pose, necessary for calibrating the sensor system. Experiments suggest a significant gain of coverage in single measurements compared to previous methods. © 2014 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleCavlectometry: Towards holistic reconstruction of large mirror objectsen
dc.typeConference Paperen
dc.contributor.departmentKAUST Visualization Laboratory (KVL)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journal2014 2nd International Conference on 3D Visionen
dc.conference.date8 December 2014 through 11 December 2014en
dc.conference.name2014 2nd International Conference on 3D Vision, 3DV 2014en
dc.contributor.institutionUCLA, United Statesen
dc.contributor.institutionKIT, Germanyen
dc.contributor.institutionFraunhofer IOSB, Germanyen
kaust.authorAcevedo-Feliz, Danielen
kaust.authorHadwiger, Markusen
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