Multiview specular stereo reconstruction of large mirror surfaces
KAUST DepartmentVisual Computing Center (VCC)
Permanent link to this recordhttp://hdl.handle.net/10754/564391
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AbstractIn 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.
CitationBalzer, J., Hofer, S., & Beyerer, J. (2011). Multiview specular stereo reconstruction of large mirror surfaces. CVPR 2011. doi:10.1109/cvpr.2011.5995346
Conference/Event name2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011