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3DPVT
2004
IEEE

A Variational Analysis of Shape from Specularities using Sparse Data

13 years 8 months ago
A Variational Analysis of Shape from Specularities using Sparse Data
Looking around in our every day environment, many of the encountered objects are specular to some degree. Actively using this fact when reconstructing objects from image sequences is the scope of the shape from specularities problem. One reason why this problem is important is that standard structure from motion techniques fail when the object surfaces are specular. Here this problem is addressed by estimating surface shape using information from the specular reflections. A specular reflection gives constraints on the surface normal. The approach taken in this paper differs significantly from many earlier shape from specularities methods since the normal data used is sparse. The main contribution of this paper is to give a solid foundation for shape from specularities problems. Estimation of surface shape using reflections is formulated as a variational problem and the surface is represented implicitly using a level set formulation. A functional incorporating all surface constraints i...
Jan Erik Solem, Henrik Aanæs, Anders Heyden
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where 3DPVT
Authors Jan Erik Solem, Henrik Aanæs, Anders Heyden
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