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Linked Open Data
3D point cloud registration based on a purpose-designed similarity measure
Identificadores del recurso
1687-6180
DPI2006-15313
http://hdl.handle.net/10902/3147
10.1186/1687-6180-2012-57
Procedencia
(Repositorio Abierto de la Universidad de Cantabria)

Ficha

Título:
3D point cloud registration based on a purpose-designed similarity measure
Tema:
Laser scanner
3D point cloud
Descriptor
Similarity measure
Coarse alignment
3D registration
Descripción:
This article introduces a novel approach for finding a rigid transformation that coarsely aligns two 3D point clouds. The algorithm performs an iterative comparison between 2D descriptors by using a purpose-designed similarity measure in order to find correspondences between two 3D point clouds sensed from different positions of a free-form object. The descriptors (named with the acronym CIRCON) represent an ordered set of radial contours that are extracted around an interest-point within the point cloud. The search for correspondences is done iteratively, following a cell distribution that allows the algorithm to converge toward a candidate point. Using a single correspondence an initial estimation of the Euclidean transformation is computed and later refined by means of a multiresolution approach. This coarse alignment algorithm can be used for 3D modeling and object manipulation tasks such as "Bin Picking" when free-form objects are partially occluded or present symmetries.
This study was carried out with the support of the Spanish CICYT project DPI2006-15313
Fuente:
EURASIP Journal on Advances in Signal Processing, 2012, 57
Idioma:
English
Autor/Productor:
Torre Ferrero, Carlos
Llata García, José Ramón
Alonso Rentería, Luciano
Robla Gómez, María Sandra
González Sarabia, Esther
Editor:
Hindawi Publishing Corporation-
SpringerOpen
Otros colaboradores/productores:
Universidad de Cantabria
Derechos:
Atribución 3.0 España
http://creativecommons.org/licenses/by/3.0/es/
openAccess
Fecha:
2013-09-06T12:58:45Z
2012
Tipo de recurso:
info:eu-repo/semantics/article
publishedVersion

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    1. <dc:title>3D point cloud registration based on a purpose-designed similarity measure</dc:title>

    2. <dc:creator>Torre Ferrero, Carlos</dc:creator>

    3. <dc:creator>Llata García, José Ramón</dc:creator>

    4. <dc:creator>Alonso Rentería, Luciano</dc:creator>

    5. <dc:creator>Robla Gómez, María Sandra</dc:creator>

    6. <dc:creator>González Sarabia, Esther</dc:creator>

    7. <dc:contributor>Universidad de Cantabria</dc:contributor>

    8. <dc:subject>Laser scanner</dc:subject>

    9. <dc:subject>3D point cloud</dc:subject>

    10. <dc:subject>Descriptor</dc:subject>

    11. <dc:subject>Similarity measure</dc:subject>

    12. <dc:subject>Coarse alignment</dc:subject>

    13. <dc:subject>3D registration</dc:subject>

    14. <dc:description>This article introduces a novel approach for finding a rigid transformation that coarsely aligns two 3D point clouds. The algorithm performs an iterative comparison between 2D descriptors by using a purpose-designed similarity measure in order to find correspondences between two 3D point clouds sensed from different positions of a free-form object. The descriptors (named with the acronym CIRCON) represent an ordered set of radial contours that are extracted around an interest-point within the point cloud. The search for correspondences is done iteratively, following a cell distribution that allows the algorithm to converge toward a candidate point. Using a single correspondence an initial estimation of the Euclidean transformation is computed and later refined by means of a multiresolution approach. This coarse alignment algorithm can be used for 3D modeling and object manipulation tasks such as "Bin Picking" when free-form objects are partially occluded or present symmetries.</dc:description>

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    16. <dc:date>2013-09-06T12:58:45Z</dc:date>

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      1. <dc:contributor>Universidad de Cantabria</dc:contributor>

      2. <dc:creator>Torre Ferrero, Carlos</dc:creator>

      3. <dc:creator>Llata García, José Ramón</dc:creator>

      4. <dc:creator>Alonso Rentería, Luciano</dc:creator>

      5. <dc:creator>Robla Gómez, María Sandra</dc:creator>

      6. <dc:creator>González Sarabia, Esther</dc:creator>

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      17. <dc:subject lang="es_ES">Descriptor</dc:subject>

      18. <dc:subject lang="es_ES">Similarity measure</dc:subject>

      19. <dc:subject lang="es_ES">Coarse alignment</dc:subject>

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