Stereo matching using sub-segmentation and robust higher-order graph cut
| dc.contributor.author | Xie, Yiran | |
| dc.contributor.author | Liu, Nianjun | |
| dc.contributor.author | Liu, Sheng | |
| dc.contributor.author | Barnes, Nick | |
| dc.coverage.spatial | Noosa Australia | |
| dc.date.accessioned | 2015-12-08T22:20:12Z | |
| dc.date.created | December 6-8 2011 | |
| dc.date.issued | 2011 | |
| dc.date.updated | 2016-02-24T09:43:28Z | |
| dc.description.abstract | This paper provides a novel and efficient approach to dense stereo matching. The first contribution is, rather than applying disparity distribution inside a segment as hard constraint to directly project the likelihood of corresponding candidates to each | |
| dc.identifier.isbn | 9780769545882 | |
| dc.identifier.uri | http://hdl.handle.net/1885/31886 | |
| dc.publisher | IEEE Communications Society | |
| dc.relation.ispartofseries | Digital Image Computing: Techniques and Applications (DICTA 2011) | |
| dc.source | A Novel Illumination-Invariant Loss for Monocular 3D Pose Estimation | |
| dc.subject | Keywords: Graph cut; Hard constraints; Higher order; Soft constraint; stereo matching; Constraint theory; Graphic methods higher-order; stereo matching | |
| dc.title | Stereo matching using sub-segmentation and robust higher-order graph cut | |
| dc.type | Conference paper | |
| local.bibliographicCitation.lastpage | 523 | |
| local.bibliographicCitation.startpage | 518 | |
| local.contributor.affiliation | Xie, Yiran, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Liu, Nianjun, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Liu, Sheng, Zhejiang University of Technology | |
| local.contributor.affiliation | Barnes, Nick, College of Engineering and Computer Science, ANU | |
| local.contributor.authoruid | Xie, Yiran, u4788194 | |
| local.contributor.authoruid | Liu, Nianjun, u1814805 | |
| local.contributor.authoruid | Barnes, Nick, a176407 | |
| local.description.embargo | 2037-12-31 | |
| local.description.notes | Imported from ARIES | |
| local.description.refereed | Yes | |
| local.identifier.absfor | 080104 - Computer Vision | |
| local.identifier.absfor | 080106 - Image Processing | |
| local.identifier.absseo | 970109 - Expanding Knowledge in Engineering | |
| local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
| local.identifier.ariespublication | f5625xPUB87 | |
| local.identifier.doi | 10.1109/DICTA.2011.93 | |
| local.identifier.scopusID | 2-s2.0-84863068786 | |
| local.type.status | Published Version |
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