Image Analysis and Processing, International Conference on (1999)
Sept. 27, 1999 to Sept. 29, 1999
Philip L. Worthington , University of York
Edwin R. Hancock , University of York
This paper makes two contributions to the problem of needle-map recovery using shape-from-shading. Firstly, we provide a geometric update procedure which allows the image irradiance equation to be satisfied as a hard-constraint. This improves the data-closeness of the recovered needle-map. Secondly, we consider how topographic constraints can be used to impose local consistency on the recovered needle-map. We present a curvature consistency model, and provide an experimental assessment of the new SFS framework on both real-world images and synthetic images with known ground-truth surface-normals.
E. R. Hancock and P. L. Worthington, "Shape-from-Shading Using a Curvature Consistency Constraint," Image Analysis and Processing, International Conference on(ICIAP), Venice, Italy, 1999, pp. 484.