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 ...Show MoreMetadata
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 deflect metric 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.
Published in: 2014 2nd International Conference on 3D Vision
Date of Conference: 08-11 December 2014
Date Added to IEEE Xplore: 09 February 2015
Electronic ISBN:978-1-4799-7000-1
Print ISSN: 1550-6185