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Cavlectometry: Towards holistic reconstruction of large mirror objects

: Balzer, J.; Acevedo-Feliz, D.; Soatto, S.; Höfer, S.; Hadwiger, M.; Beyerer, Jürgen

Postprint urn:nbn:de:0011-n-3331033 (9.0 MByte PDF)
MD5 Fingerprint: 1cfdf11b80ae82154dff150ffac82923
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Erstellt am: 9.4.2015

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
2nd International Conference on 3D Vision, 3DV 2014. Proceedings. Vol.1 : 8-11 December 2014, Tokyo, Japan
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2014
ISBN: 978-1-4799-7000-1
ISBN: 978-1-4799-7001-8
International Conference on 3D Vision (3DV) <2, 2014, Tokyo>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

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 extraordinary 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. To facilitate research on specular surface reconstruction, we will make our data set publicly available.