Glass object localization by joint inference of boundary and depth
| dc.contributor.author | Wang, Tao | |
| dc.contributor.author | He, Xuming | |
| dc.contributor.author | Barnes, Nick | |
| dc.coverage.spatial | Tsukuba Japan | |
| dc.date.accessioned | 2015-12-13T22:18:18Z | |
| dc.date.created | November 11-15 2012 | |
| dc.date.issued | 2012 | |
| dc.date.updated | 2016-02-24T09:02:23Z | |
| dc.description.abstract | We address the problem of localizing glass objects with a multimodal RGB-D camera. Our method integrates the intensity and depth information from a single view point, and builds a Markov Random Field that predicts glass boundary and region jointly. Based | |
| dc.identifier.isbn | 9784990644109 | |
| dc.identifier.uri | http://hdl.handle.net/1885/71580 | |
| dc.publisher | Conference Organising Committee | |
| dc.relation.ispartofseries | International Conference on Pattern Recognition (ICPR 2012) | |
| dc.source | Proceedings - International Conference on Pattern Recognition | |
| dc.subject | Keywords: Depth information; Depth value; Markov Random Fields; Multi-modal; Object localization; Rgb-d cameras; Single view points; Markov processes; Pattern recognition; Glass | |
| dc.title | Glass object localization by joint inference of boundary and depth | |
| dc.type | Conference paper | |
| local.bibliographicCitation.lastpage | 3786 | |
| local.bibliographicCitation.startpage | 3783 | |
| local.contributor.affiliation | Wang, Tao, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | He, Xuming, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Barnes, Nick, College of Engineering and Computer Science, ANU | |
| local.contributor.authoruid | Wang, Tao, u4817108 | |
| local.contributor.authoruid | He, Xuming, u4981609 | |
| 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 | 020504 - Photonics, Optoelectronics and Optical Communications | |
| local.identifier.absfor | 080109 - Pattern Recognition and Data Mining | |
| local.identifier.absseo | 970109 - Expanding Knowledge in Engineering | |
| local.identifier.ariespublication | f5625xPUB2781 | |
| local.identifier.scopusID | 2-s2.0-84874572202 | |
| local.type.status | Published Version |
Downloads
Original bundle
1 - 1 of 1
Loading...
- Name:
- 01_Wang_Glass_object_localization_by_2012.pdf
- Size:
- 1.45 MB
- Format:
- Adobe Portable Document Format