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dc.contributor.authorGreene, W Nicholas
dc.contributor.authorRoy, Nicholas
dc.date.accessioned2022-09-20T16:29:35Z
dc.date.available2022-09-20T16:29:35Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/145524
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/ICRA48506.2021.9562096en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther repositoryen_US
dc.titleMultiViewStereoNet: Fast Multi-View Stereo Depth Estimation using Incremental Viewpoint-Compensated Feature Extractionen_US
dc.typeArticleen_US
dc.identifier.citationGreene, W Nicholas and Roy, Nicholas. 2021. "MultiViewStereoNet: Fast Multi-View Stereo Depth Estimation using Incremental Viewpoint-Compensated Feature Extraction." 2021 IEEE International Conference on Robotics and Automation (ICRA).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.relation.journal2021 IEEE International Conference on Robotics and Automation (ICRA)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-09-20T16:19:21Z
dspace.orderedauthorsGreene, WN; Roy, Nen_US
dspace.date.submission2022-09-20T16:19:23Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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