A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Shape from recognition: a novel approach for 3-D face shape recovery
IEEE Transactions on Image Processing
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We present a coupled statistical model that can be used to accurately recover facial surfaces from single images by jointly capturing variations in surface normal direction and surface height. The model is trained on range data. By fitting the model to surface normal data, the surface height function is implicitly recovered without having to integrate the recovered field of surface normals. We show how the coupled model can be fitted to image brightness data using geometric constraints on surface normal direction furnished by Lambert's law.