Multi-view Stereo Beyond Lambert

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Multi-view Stereo Beyond Lambert
We consider the problem of estimating the shape and radiance of an object from a calibrated set of views under the assumption that the reflectance of the object is nonLambertian. Unlike traditional stereo, we do not solve the correspondence problem by comparing image-to-image. Instead, we exploit a rank constraint on the radiance tensor field of the surface in space, and use it to define a discrepancy measure between each image and the underlying model. Our approach automatically returns an estimate of the radiance of the scene, along with its shape, represented by a dense surface. The former can be used to generate novel views that capture the non-Lambertian appearance of the scene. Figure 1: (COLOR) Scenes with strong specularities or made of translucent materials with no distinct point features are a challenge to most stereo algorithms.
Hailin Jin, Stefano Soatto, Anthony J. Yezzi
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2003
Where CVPR
Authors Hailin Jin, Stefano Soatto, Anthony J. Yezzi
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