Model-based object recognition from 3D laser data
| Autor(en): | Günther, M. Wiemann, T. Albrecht, S. Hertzberg, J. |
Stichwörter: | 3D point cloud; 3D point clouds; CAD model matching; CAD models; Computer aided design; Intelligent agents; Laser data; Model structures; Multi agent systems; Object class; object recognition; Ontology; OWL-DL ontology; Point cloud; Potassium iodide; semantic mapping; Semantics, Three dimensional; Structural models, Clouds | Erscheinungsdatum: | 2011 | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volumen: | 7006 LNAI | Startseite: | 99 | Seitenende: | 110 | Zusammenfassung: | This paper presents a method for recognizing objects in 3D point clouds. Based on a structural model of these objects, we generate hypotheses for the location and 6DoF pose of these models and verify them by matching a CAD model of the object into the point cloud. Our method only needs a CAD model of each object class; no previous training is required. © 2011 Springer-Verlag. |
Beschreibung: | Conference of 34th Annual German Conference on Artificial Intelligence, KI 2011, in Co-location with the 41st Annual Meeting of the Gesellschaft fur Informatik, INFORMATIK 2011 and the 9th German Conference on Multi-Agent System Technologies, MATES 2011 ; Conference Date: 4 October 2011 Through 7 October 2011; Conference Code:86895 |
ISBN: | 9783642244544 | ISSN: | 03029743 | DOI: | 10.1007/978-3-642-24455-1_9 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053974161&doi=10.1007%2f978-3-642-24455-1_9&partnerID=40&md5=04260a21df1674d449fc00117e12f17d |
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