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Model-based shape recovery from single images of general and unknown lighting

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4 Author(s)
Ham Rara ; CVIP Laboratory, University of Louisville, KY, USA ; Shireen Elhabian ; Thomas Starr ; Aly Farag

We present a new statistical shape-from-shading framework for images of unknown illumination. The object (e.g., face) to be reconstructed is described by a parametric model. To deal with arbitrary illumination, the framework makes use of recent results that general lighting can be expressed using low-order spherical harmonics for convex Lambertian objects. The classical shape-from-shading equation is modified according to this framework. Results show accurate shape recovery with respect to ground truth data.

Published in:

2009 16th IEEE International Conference on Image Processing (ICIP)

Date of Conference:

7-10 Nov. 2009