Automatic low baseline stereo in urban areas

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,...

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Authors: Igual, Laura; Preciozzi, Javier; Garrido, Luís; Almansa, Andrés; Caselles, Vicente; Rougé, Bernard
Format: Article
Status:Published version
Publication date:2007
Country:España
Institution:Universitat Pompeu Fabra
Repository:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/20686
Online Access:http://hdl.handle.net/10230/20686
http://dx.doi.org/10.3934/ipi.2007.1.319
Access Level:Open access
Keyword:Anàlisi global (Matemàtica)
Espais simètrics
Stereo vision
Subpixel urban DEMs
Piecewise affine
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author Igual, Laura
author2 Preciozzi, Javier
Garrido, Luís
Almansa, Andrés
Caselles, Vicente
Rougé, Bernard
author2_role author
author
author
author
author
author_browse Almansa, Andrés
Caselles, Vicente
Garrido, Luís
Igual, Laura
Preciozzi, Javier
Rougé, Bernard
author_facet Igual, Laura
Preciozzi, Javier
Garrido, Luís
Almansa, Andrés
Caselles, Vicente
Rougé, Bernard
author_role author
collection Repositorio Digital de la UPF
description 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.
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institution Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
network_acronym_str ES
network_name_str España
oai_identifier_str oai:repositori.upf.edu:10230/20686
publishDate 2007
publishDateSort 2007
publisher AIMS American Institute of Mathematical Sciences
publisherStr AIMS American Institute of Mathematical Sciences
reponame_str Repositorio Digital de la UPF
spelling Automatic low baseline stereo in urban areas Igual, Laura Preciozzi, Javier Garrido, Luís Almansa, Andrés Caselles, Vicente Rougé, Bernard Anàlisi global (Matemàtica) Espais simètrics Stereo vision Subpixel urban DEMs Piecewise affine 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. 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. AIMS American Institute of Mathematical Sciences http://hdl.handle.net/10230/20686 http://dx.doi.org/10.3934/ipi.2007.1.319
spellingShingle Automatic low baseline stereo in urban areas
Igual, Laura
Anàlisi global (Matemàtica)
Espais simètrics
Stereo vision
Subpixel urban DEMs
Piecewise affine
status_str publishedVersion
title Automatic low baseline stereo in urban areas
title_full Automatic low baseline stereo in urban areas
title_fullStr Automatic low baseline stereo in urban areas
title_full_unstemmed Automatic low baseline stereo in urban areas
title_short Automatic low baseline stereo in urban areas
title_sort Automatic low baseline stereo in urban areas
topic Anàlisi global (Matemàtica)
Espais simètrics
Stereo vision
Subpixel urban DEMs
Piecewise affine
topic_facet Anàlisi global (Matemàtica)
Espais simètrics
Stereo vision
Subpixel urban DEMs
Piecewise affine
url http://hdl.handle.net/10230/20686
http://dx.doi.org/10.3934/ipi.2007.1.319