Dense Shape Reconstruction of a Moving Object under Arbitrary, Unknown Lighting

Authors:
Denis Simakov;Darya Frolova;Ronen Basri
Affiliations:
-;-;-
Venue:
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Year:
2003

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Abstract

We present a method for shape reconstruction from severalimages of a moving object. The reconstruction is dense(up to image resolution). The method assumes that themotion is known, e.g., by tracking a small number of featurepoints on the object. The object is assumed Lambertian(completely matte), light sources should not be veryclose to the object but otherwise arbitrary, and no knowledgeof lighting conditions is required. An object changesits appearance significantly when it changes its orientationrelative to light sources, causing violation of the commonbrightness constancy assumption. While a lot of effort isdevoted to deal with this violation, we demonstrate howto exploit it to recover 3D structure from 2D images. Wepropose a new correspondence measure that enables pointmatching across views of a moving object. The method hasbeen tested both on computer simulated examples and on areal object.