DOI | Trouver le DOI : https://doi.org/10.1109/ROSE.2007.4373978 |
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Auteur | Rechercher : MacKinnon, D.; Rechercher : Aitken, V.; Rechercher : Blais, F.1; Rechercher : Picard, M.1 |
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Affiliation | - Conseil national de recherches du Canada. Institut de technologie de l'information du CNRC
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Format | Texte, Article |
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Conférence | IEEE International Workshop on Robotic and Sensors Environments ROSE 2007, 12-13 October 2007, Ottawa, Ontario, Canada |
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Sujet | adaptive scanning; quality metrics; range imaging; automated scanning |
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Résumé | We present an approach to laser range scanning in which quality metrics are used to automatically reduce the number of measurements acquired from a scanner viewpoint. As part of this approach we present improved versions of the orientation, and reflectivity quality metrics, as well as introduce three quality metrics: spot size, re solvability, and planarity. These quality metrics are used to divide the total field of view from a scanner viewpoint into regions. A subset of these regions is then automatically identified as having a significant likelihood of producing useful measurements to augment the initial range image using quality metrics. The composite range image is then automatically generated from the initial scan and series of targeted subscans. |
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Date de publication | 2007-10-13 |
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Dans | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Numéro NPARC | 21268126 |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | 7ff1ee94-007c-49af-ac9b-ddcc0d402bb8 |
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Enregistrement créé | 2013-04-25 |
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Enregistrement modifié | 2020-05-10 |
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