Multiview specular stereo reconstruction of large mirror surfaces

Jonathan Balzer, Sebastian Höler, Jürgen Beyerer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Scopus citations

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.
Original languageEnglish (US)
Title of host publicationCVPR 2011
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2537-2544
Number of pages8
ISBN (Print)9781457703942
DOIs
StatePublished - Jun 2011

Fingerprint

Dive into the research topics of 'Multiview specular stereo reconstruction of large mirror surfaces'. Together they form a unique fingerprint.

Cite this