Recognising Algebraic Surfaces from Two Outlines
Journal of Mathematical Imaging and Vision
Robust Surface Fitting from Two Views using Restricted Correspondence
Journal of Mathematical Imaging and Vision
Generic Scene Recovery Using Multiple Images
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions
International Journal of Computer Vision
Photometric stereo under low frequency environment illumination
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
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We describe a method to recover the surface reflectance and the 3-d shape of a non-Lambertian object as well as illumination, from a collection of images. It is based on the so-called frontier points, which are extracted from the outlines of an object. Frontier points provide 3-d locations on the object surface where the surface normal is known. This information is exploited to infer the surface reflectance of the object and the light distribution of the scene both under varying illumination and fixed vantage point, and under varying vantage point and fixed illumination. We also show how to apply frontier points for shape recovery in photometric stereo. The effectiveness of frontier points for recovering reflectance, illumination and shape is confirmed by a number of experiments on both real and synthetic data.