Multiview specular stereo reconstruction of large mirror surfaces
Type
Conference PaperKAUST Department
Visual Computing Center (VCC)Date
2011-06Permanent link to this record
http://hdl.handle.net/10754/564391
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Show full item recordAbstract
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.Citation
Balzer, J., Hofer, S., & Beyerer, J. (2011). Multiview specular stereo reconstruction of large mirror surfaces. CVPR 2011. doi:10.1109/cvpr.2011.5995346Journal
CVPR 2011Conference/Event name
2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011ISBN
9781457703942ae974a485f413a2113503eed53cd6c53
10.1109/CVPR.2011.5995346