Title:
Multiview Stereo Reconstruction of Dense Shape and Complex Appearance
Multiview Stereo Reconstruction of Dense Shape and Complex Appearance
| dc.contributor.author | Jin, Hailin | en_US |
| dc.contributor.author | Soatto, Stefano | en_US |
| dc.contributor.author | Yezzi, Anthony | en_US |
| dc.contributor.corporatename | Adobe Systems. Office of Technology | en_US |
| dc.contributor.corporatename | University of California, Los Angeles. Computer Science Dept. | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | en_US |
| dc.date.accessioned | 2013-08-29T20:28:22Z | |
| dc.date.available | 2013-08-29T20:28:22Z | |
| dc.date.issued | 2005-07 | |
| dc.description | ©2005 Springer-Verlag Berlin Heidelberg. The original publication is available at www.springerlink.com | en_US |
| dc.description | DOI: 10.1007/s11263-005-6876-7 | en_US |
| dc.description.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. | en_US |
| dc.identifier.citation | H. Jin, S. Soatto, and A. Yezzi, “Multiview Stereo Reconstruction of Dense Shape and Complex Appearance,” International Journal of Computer Vision, 63, 3, 175-189 (July 2005) | en_US |
| dc.identifier.doi | 10.1007/s11263-005-6876-7 | |
| dc.identifier.isbn | ||
| dc.identifier.issn | 0920-5691 | |
| dc.identifier.uri | http://hdl.handle.net/1853/48744 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | Springer Verlag | en_US |
| dc.subject | Image-based modeling and rendering | en_US |
| dc.subject | Multi-view stereo | en_US |
| dc.subject | Non-lambertian reflection | en_US |
| dc.subject | 3-d | en_US |
| dc.subject | Shape reconstruction | en_US |
| dc.subject | Variational methods | en_US |
| dc.subject | Level set methods | en_US |
| dc.subject | Appearance models | en_US |
| dc.title | Multiview Stereo Reconstruction of Dense Shape and Complex Appearance | en_US |
| dc.type | Text | |
| dc.type.genre | Article | |
| dc.type.genre | Post-print | |
| dspace.entity.type | Publication | |
| local.contributor.author | Yezzi, Anthony | |
| local.contributor.corporatename | School of Electrical and Computer Engineering | |
| local.contributor.corporatename | College of Engineering | |
| relation.isAuthorOfPublication | 53ee63a2-04fd-454f-b094-02a4601962d8 | |
| relation.isOrgUnitOfPublication | 5b7adef2-447c-4270-b9fc-846bd76f80f2 | |
| relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 |
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