dc.contributor.author | Johnson, Micah K. | |
dc.contributor.author | Cole, Forrester | |
dc.contributor.author | Raj, Alvin | |
dc.contributor.author | Adelson, Edward H. | |
dc.date.accessioned | 2014-04-14T12:48:54Z | |
dc.date.available | 2014-04-14T12:48:54Z | |
dc.date.issued | 2011-07 | |
dc.identifier.isbn | 9781450309431 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/86138 | |
dc.description.abstract | We describe a system for capturing microscopic surface geometry. The system extends the retrographic sensor [Johnson and Adelson 2009] to the microscopic domain, demonstrating spatial resolution as small as 2 microns. In contrast to existing microgeometry capture techniques, the system is not affected by the optical characteristics of the surface being measured---it captures the same geometry whether the object is matte, glossy, or transparent. In addition, the hardware design allows for a variety of form factors, including a hand-held device that can be used to capture high-resolution surface geometry in the field. We achieve these results with a combination of improved sensor materials, illumination design, and reconstruction algorithm, as compared to the original sensor of Johnson and Adelson [2009]. | en_US |
dc.description.sponsorship | National Science Foundation (U.S.) (Grant 0739255) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Contract 1-R01-EY019292-01) | en_US |
dc.language.iso | en_US | |
dc.publisher | Association for Computing Machinery (ACM) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1145/1964921.1964941 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | MIT Web Domain | en_US |
dc.title | Microgeometry capture using an elastomeric sensor | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Micah K. Johnson, Forrester Cole, Alvin Raj, and Edward H. Adelson. 2011. Microgeometry capture using an elastomeric sensor. In ACM SIGGRAPH 2011 papers (SIGGRAPH '11), Hugues Hoppe (Ed.). ACM, New York, NY, USA, Article 46, 8 pages. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
dc.contributor.mitauthor | Johnson, Micah K. | en_US |
dc.contributor.mitauthor | Cole, Forrester | en_US |
dc.contributor.mitauthor | Raj, Alvin | en_US |
dc.contributor.mitauthor | Adelson, Edward H. | en_US |
dc.relation.journal | ACM SIGGRAPH 2011 papers (SIGGRAPH '11) | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dspace.orderedauthors | Johnson, Micah K.; Cole, Forrester; Raj, Alvin; Adelson, Edward H. | en_US |
dc.identifier.orcid | https://orcid.org/0000-0003-2222-6775 | |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |