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 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
Springer Nature B.V
01.07.2005
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| ISSN: | 0920-5691, 1573-1405 |
| On-line přístup: | Získat plný text |
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| Abstract | 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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| AbstractList | 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. 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] |
| Author | Soatto, Stefano Jin, Hailin Yezzi, Anthony J. |
| Author_xml | – sequence: 1 givenname: Hailin surname: Jin fullname: Jin, Hailin – sequence: 2 givenname: Stefano surname: Soatto fullname: Soatto, Stefano – sequence: 3 givenname: Anthony J. surname: Yezzi fullname: Yezzi, Anthony J. |
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| DOI | 10.1007/s11263-005-6876-7 |
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