dc.contributor.author | Pirsiavash, Hamed | |
dc.contributor.author | Torralba, Antonio | |
dc.contributor.author | Lim, Joseph Jaewhan | |
dc.date.accessioned | 2014-10-20T14:55:48Z | |
dc.date.available | 2014-10-20T14:55:48Z | |
dc.date.issued | 2013-12 | |
dc.identifier.isbn | 978-1-4799-2840-8 | |
dc.identifier.issn | 1550-5499 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/90988 | |
dc.description.abstract | We address the problem of localizing and estimating the fine-pose of objects in the image with exact 3D models. Our main focus is to unify contributions from the 1970s with recent advances in object detection: use local keypoint detectors to find candidate poses and score global alignment of each candidate pose to the image. Moreover, we also provide a new dataset containing fine-aligned objects with their exactly matched 3D models, and a set of models for widely used objects. We also evaluate our algorithm both on object detection and fine pose estimation, and show that our method outperforms state-of-the art algorithms. | en_US |
dc.description.sponsorship | United States. Office of Naval Research. Multidisciplinary University Research Initiative (N000141010933) | en_US |
dc.language.iso | en_US | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/ICCV.2013.372 | 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 | Parsing IKEA Objects: Fine Pose Estimation | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Lim, Joseph J., Hamed Pirsiavash, and Antonio Torralba. “Parsing IKEA Objects: Fine Pose Estimation.” 2013 IEEE International Conference on Computer Vision (December 2013). | 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 Electrical Engineering and Computer Science | en_US |
dc.contributor.mitauthor | Lim, Joseph Jaewhan | en_US |
dc.contributor.mitauthor | Pirsiavash, Hamed | en_US |
dc.contributor.mitauthor | Torralba, Antonio | en_US |
dc.relation.journal | Proceedings of the 2013 IEEE International Conference on Computer Vision | 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 | Lim, Joseph J.; Pirsiavash, Hamed; Torralba, Antonio | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-2476-6428 | |
dc.identifier.orcid | https://orcid.org/0000-0003-4915-0256 | |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |