This paper describes a new curvature consistency method for shape-from-shading. Our idea is to combine evidence for the best surface normal direction. To do this we transport surface normals across the surface using a local estimate of the Hessian matrix. The evidence combination process uses the normal curvature to compute a weighted average surface normal direction. We experiment with the resulting shape-from-shading method on a variety of real world synthetic data. © Springer-Verlag 2003.
CITATION STYLE
Sartori, F., & Hancock, E. R. (2003). Curvature consistency for shape-from-shading. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2749, 67–74. https://doi.org/10.1007/3-540-45103-x_10
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