Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance

We address the problem of estimating the three-dimensional shape and complex appearance of a scene from a calibrated set of views under fixed illumination. Our approach relies on a rank condition that must be satisfied when the scene exhibits "specular + diffuse" reflectance characteristic...

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Vydáno v:International journal of computer vision Ročník 63; číslo 3; s. 175 - 189
Hlavní autoři: Jin, Hailin, Soatto, Stefano, Yezzi, Anthony J.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer Nature B.V 01.07.2005
ISSN:0920-5691, 1573-1405
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Shrnutí:We address the problem of estimating the three-dimensional shape and complex appearance of a scene from a calibrated set of views under fixed illumination. Our approach relies on a rank condition that must be satisfied when the scene exhibits "specular + diffuse" reflectance characteristics. This constraint is used to define a cost functional for the discrepancy between the measured images and those generated by the estimate of the scene, rather than attempting to match image-to-image directly. Minimizing such a functional yields the optimal estimate of the shape of the scene, represented by a dense surface, as well as its radiance, represented by four functions defined on such a surface. These can be used to generate novel views that capture the non-Lambertian appearance of the scene.[PUBLICATION ABSTRACT]
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ISSN:0920-5691
1573-1405
DOI:10.1007/s11263-005-6876-7