Parsing IKEA Objects: Fine Pose Estimation

Simple item page
dc.contributor.authorLim, Joseph J.
dc.contributor.authorPirsiavash, Hamed
dc.contributor.authorTorralba, Antonio
dc.date.accessioned2019-06-28T16:29:03Z
dc.date.available2019-06-28T16:29:03Z
dc.date.issued2013-12-03
dc.description.abstractWe 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.sponsorshipThis work is funded by ONR MURI N000141010933. We also thank Phillip Isola and Aditya Khosla for important suggestions and discussion.en_US
dc.description.urihttps://ieeexplore.ieee.org/abstract/document/6751483en_US
dc.format.extent8 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/m2gdq0-sna7
dc.identifier.citationJoseph J. Lim, et.al, Parsing IKEA Objects: Fine Pose Estimation, 2013 IEEE International Conference on Computer Vision, DOI: 10.1109/ICCV.2013.372en_US
dc.identifier.urihttps://doi.org/10.1109/ICCV.2013.372
dc.identifier.urihttp://hdl.handle.net/11603/14317
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2013 IEEE
dc.subjectThree-dimensional displaysen_US
dc.subjectSolid modelingen_US
dc.subjectImage edge detectionen_US
dc.subjectEstimationen_US
dc.subjectDesign automationen_US
dc.subjectComputational modelingen_US
dc.subjectimage matchingen_US
dc.subjectIKEA object parsingen_US
dc.titleParsing IKEA Objects: Fine Pose Estimationen_US
dc.typeTexten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ikea_iccv2013.pdf
Size:
1.52 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection