Cavlectometry: Towards holistic reconstruction of large mirror objects

Jonathan Balzer, Daniel Acevedo-Feliz, Stefano Soatto, Sebastian G. Höfer, Markus Hadwiger, Jürgen Beyerer

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

7 Scopus citations

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.
Original languageEnglish (US)
Title of host publication2014 2nd International Conference on 3D Vision
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages448-455
Number of pages8
ISBN (Print)9781479970018
DOIs
StatePublished - Dec 2014

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