Robles-Kelly, A and Hancock, E R (2004) A graph-spectral approach to shape-from-shading. IEEE Transactions on Image Processing. pp. 912-926. ISSN 1057-7149Full text available as:
In this paper, we explore how graph-spectral methods can be used to develop a new shape-from-shading algorithm. We characterize the field of surface normals using a weight matrix whose elements are computed from the sectional curvature between different image locations and penalize large changes in surface normal direction. Modeling the blocks of the weight matrix as distinct surface patches, we use a graph seriation method to find a surface integration path that maximizes the sum of curvature-dependent weights and that can be used for the purposes of height reconstruction. To smooth the reconstructed surface, we fit quadrics to the height data for each patch. The smoothed surface normal directions are updated ensuring compliance with Lambert's law. The processes of height recovery and surface normal adjustment are interleaved and iterated until a stable surface is obtained. We provide results on synthetic and real-world imagery.
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|Keywords:||graph seriation, graph-spectral methods, shape-from-shading, SPECULAR REFLECTION, VISCOSITY SOLUTIONS, SURFACES|
|Academic Units:||The University of York > Computer Science (York)|
|Depositing User:||Repository Officer|
|Date Deposited:||21 Feb 2007|
|Last Modified:||17 Oct 2013 14:26|