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dc.contributor.authorBalzer, Jonathan
dc.contributor.authorAcevedo-Feliz, Daniel
dc.contributor.authorSoatto, Stefano
dc.contributor.authorHöfer, Sebastian G.
dc.contributor.authorHadwiger, Markus
dc.contributor.authorBeyerer, Jürgen
dc.date.accessioned2015-08-24T09:27:16Z
dc.date.available2015-08-24T09:27:16Z
dc.date.issued2014-12
dc.identifier.citationBalzer, J., Acevedo-Feliz, D., Soatto, S., Hofer, S., Hadwiger, M., & Beyerer, J. (2014). Cavlectometry: Towards Holistic Reconstruction of Large Mirror Objects. 2014 2nd International Conference on 3D Vision. doi:10.1109/3dv.2014.85
dc.identifier.isbn9781479970018
dc.identifier.doi10.1109/3DV.2014.85
dc.identifier.urihttp://hdl.handle.net/10754/575828
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleCavlectometry: Towards holistic reconstruction of large mirror objects
dc.typeConference Paper
dc.contributor.departmentKAUST Visualization Laboratory (KVL)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journal2014 2nd International Conference on 3D Vision
dc.conference.date8 December 2014 through 11 December 2014
dc.conference.name2014 2nd International Conference on 3D Vision, 3DV 2014
dc.contributor.institutionUCLA, United States
dc.contributor.institutionKIT, Germany
dc.contributor.institutionFraunhofer IOSB, Germany
dc.identifier.arxivid1409.4095
kaust.personAcevedo-Feliz, Daniel
kaust.personHadwiger, Markus


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