Querying 3D Data by Adjacency Graphs
2015 (English)In: Computer Vision Systems / [ed] Nalpantidis, Lazaros and Krüger, Volker and Eklundh, Jan-Olof and Gasteratos, Antonios, Springer Publishing Company, 2015, 243-252 p.Chapter in book (Refereed)
The need for robots to search the 3D data they have saved is becoming more apparent. We present an approach for finding structures in 3D models such as those built by robots of their environment. The method extracts geometric primitives from point cloud data. An attributed graph over these primitives forms our representation of the surface structures. Recurring substructures are found with frequent graph mining techniques. We investigate if a model invariant to changes in size and reflection using only the geometric information of and between primitives can be discriminative enough for practical use. Experiments confirm that it can be used to support queries of 3D models.
Place, publisher, year, edition, pages
Springer Publishing Company, 2015. 243-252 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 9163
Object retrieval, 3D data, point cloud
Computer Science Robotics
Research subject Computer Science
IdentifiersURN: urn:nbn:se:kth:diva-177976DOI: 10.1007/978-3-319-20904-3_23ISI: 000364183300023ScopusID: 2-s2.0-84949036031ISBN: 978-3-319-20904-3; 978-3-319-20903-6OAI: oai:DiVA.org:kth-177976DiVA: diva2:875928
10th International Conference on Computer Vision Systems (ICVS), JUL 06-09, 2015, Copenhagen, DENMARK
FunderEU, FP7, Seventh Framework Programme, 600623
QC 201603212015-12-022015-11-302016-06-20Bibliographically approved