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Robust Shape from Polarisation and Shading

Huynh, Cong; Robles-Kelly, Antonio; Hancock, Edwin R

Description

In this paper, we present an approach to robust estimation of shape from single-view multi-spectral polarisation images. The developed technique tackles the problem of recovering the azimuth angle of surface normals robust to image noise and a low degree

dc.contributor.authorHuynh, Cong
dc.contributor.authorRobles-Kelly, Antonio
dc.contributor.authorHancock, Edwin R
dc.coverage.spatialIstanbul Turkey
dc.date.accessioned2015-12-10T23:00:18Z
dc.date.createdAugust 23-26 2010
dc.identifier.urihttp://hdl.handle.net/1885/61299
dc.description.abstractIn this paper, we present an approach to robust estimation of shape from single-view multi-spectral polarisation images. The developed technique tackles the problem of recovering the azimuth angle of surface normals robust to image noise and a low degree
dc.publisherIEEE Computer Society
dc.relation.ispartofseriesInternational Conference on Pattern Recognition (ICPR 2010)
dc.sourceProceedings of the International Conference on Pattern Recognition (ICPR 2010)
dc.subjectKeywords: Azimuth angles; Ground truth; Hyperspectral Imaging; Image noise; Linear least squares; Low degree; Multi-spectral; Polarisation; Real images; Robust estimation; Robust estimators; Robust statistics; Shape from shading; Shape recovery; Surface normals; Su
dc.titleRobust Shape from Polarisation and Shading
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2010
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu4334215xPUB601
local.type.statusPublished Version
local.contributor.affiliationHuynh, Cong, College of Engineering and Computer Science, ANU
local.contributor.affiliationRobles-Kelly, Antonio, College of Engineering and Computer Science, ANU
local.contributor.affiliationHancock, Edwin R, University of York
local.description.embargo2037-12-31
local.bibliographicCitation.startpage810
local.bibliographicCitation.lastpage813
local.identifier.doi10.1109/ICPR.2010.204
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-02-24T11:02:13Z
local.identifier.scopusID2-s2.0-78149487634
CollectionsANU Research Publications

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