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Helmholtz Stereopsis on Rough and Strongly Textured Surfaces
Thessaloniki, Greece September 06-September 09
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TDPVT.2004.1335135Second International Symposium on 3D ...
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Jean-Yves Guillemaut, University of Surrey, UK
Ondrej Drbohlav, Heriot-Watt University, UK
Radim S?ra, Czech Technical University in Prague, CZ
John Illingworth, University of Surrey, UK
Helmholtz Stereopsis (HS) has recently been explored as a promising technique for capturing shape of objects with unknown reflectance. So far, it has been widely applied to objects of smooth geometry and piecewise uniform Bidirectional Reflectance Distribution Function (BRDF). Moreover, for non-convex surfaces the inter-reflection effects have been completely neglected. We extend the method to surfaces which exhibit strong texture, nontrivial geometry and are possibly non-convex. The problem associated with these surface features is that Helmholtz reciprocity is apparently violated when point-based measurements are used independently to establish the matching constraint as in the standard HS implementation. We argue that the problem is avoided by computing radiance measurements on image regions corresponding exactly to projections of the same surface point neighbourhood with appropriate scale. The experimental results demonstrate the success of the novel method proposed on real objects.
Citation:
Jean-Yves Guillemaut, Ondrej Drbohlav, Radim S?ra, John Illingworth, "Helmholtz Stereopsis on Rough and Strongly Textured Surfaces," 3dpvt, pp.10-17, Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04), 2004
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