Show simple item record

dc.contributor.author Igual, Laura
dc.contributor.author Preciozzi, Javier
dc.contributor.author Garrido, Luís
dc.contributor.author Almansa, Andrés
dc.contributor.author Caselles, Vicente
dc.contributor.author Rougé, Bernard
dc.contributor.other Universitat Pompeu Fabra
dc.date.accessioned 2013-06-14T11:22:19Z
dc.date.available 2013-06-14T11:22:19Z
dc.date.issued 2007
dc.identifier.citation Igual L, Preciozzi J, Garrido L, Almansa A, Caselles V, Rougé B. Automatic low baseline stereo in urban areas. Inverse Probl Imaging. 2007; 1 (2): 319-348. DOI 10.3934/ipi.2007.1.319
dc.identifier.issn 1930-8345
dc.identifier.uri http://hdl.handle.net/10230/20686
dc.description.abstract In this work we propose a new automatic methodology for computing accurate digital elevation models (DEMs) in urban environments from low baseline stereo pairs that shall be available in the future from a new kind of earth observation satellite. This setting makes both views of the scene similarly, thus avoiding occlusions and illumination changes, which are the main disadvantages of the commonly accepted large-baseline configuration. There still remain two crucial technological challenges: (i) precisely estimating DEMs with strong discontinuities and (ii) providing a statistically proven result, automatically. The first one is solved here by a piecewise affine representation that is well adapted to man-made landscapes, whereas the application of computational Gestalt theory introduces reliability and automation. In fact this theory allows us to reduce the number of parameters to be adjusted, and to/ncontrol the number of false detections. This leads to the selection of a suitable segmentation into affine regions (whenever possible) by a novel and completely automatic perceptual grouping method. It also allows us to discriminate e.g. vegetation-dominated regions, where such an affine model does not apply and/na more classical correlation technique should be preferred. In addition we propose here an extension of the classical ”quantized” Gestalt theory to continuous measurements, thus combining its reliability with the precision of variational robust estimation and fine interpolation methods that are necessary in the low baseline case. Such an extension is very general and will be useful for many other applications as well.
dc.description.sponsorship A. Almansa, J. Preciozzi and L. Igual acknowledge partial support from PDT project number S/C/OP/17/01 (Uruguay). A. Almansa acknowledges additional support from CSIC (Uruguay),CNES, CNRS and ENS Cachan (France), and UPF(Spain). V. Caselles acknowledges partial support by the Departament d’Universitats, Recerca i Societat de la Informació de la Generalitat de Catalunya and by PNPGC project, reference BFM2003-02125.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher AIMS American Institute of Mathematical Sciences
dc.relation.ispartof Inverse Problems and Imaging. 2007; 1 (2)
dc.rights © AIMS (http://dx.doi.org/10.3934/ipi.2007.1.319)
dc.subject.other Anàlisi global (Matemàtica)
dc.subject.other Espais simètrics
dc.title Automatic low baseline stereo in urban areas
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.3934/ipi.2007.1.319
dc.subject.keyword Stereo vision
dc.subject.keyword Subpixel urban DEMs
dc.subject.keyword Piecewise affine
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

In collaboration with Compliant to Partaking