An Eigenvector Method for Surface Recovery

dc.contributor.authorRobles-Kelly, A.en_US
dc.contributor.authorHancock, E.R.en_US
dc.contributor.editorPeter Hall and Philip Willisen_US
dc.date.accessioned2016-02-09T10:27:05Z
dc.date.available2016-02-09T10:27:05Z
dc.date.issued2003en_US
dc.description.abstractIn this paper we explore how spectral methods for graph seriation can be used to develop a new shape-fromshading algorithm. We characterise the field of surface normals using a transition matrix whose elements are computed from the sectional curvature between different image locations. We use a graph seriation method to define a curvature minimising surface integration path for the purposes of height reconstruction. To smooth the reconstructed surface, we fit quadric patches to the height data. The smoothed surface normal directions are updated ensuring compliance with Lambert's law. The processes of height recovery and surface normal adjustment are interleaved and iterated until a stable surface is obtained. We provide results on synthetic and real-world imagery.en_US
dc.description.sectionheadersVision Methods 1en_US
dc.description.seriesinformationVision, Video, and Graphics (VVG) 2003en_US
dc.identifier.doi10.2312/vvg.20031005en_US
dc.identifier.isbn3-905673-54-1en_US
dc.identifier.pagesA. Robles-Kelly and E.R. Hancock-I.4.8 [Image Processing and Computer Vision]: Spectral-graph methods, shape-from-shadingen_US
dc.identifier.urihttps://doi.org/10.2312/vvg.20031005en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectSpectralen_US
dc.subjectgraph methodsen_US
dc.subjectshapeen_US
dc.subjectfromen_US
dc.subjectshadingen_US
dc.titleAn Eigenvector Method for Surface Recoveryen_US
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