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2D geon based generic object recognition

dc.contributor.authorJomier, Geneviève
dc.contributor.authorGouton, Pierre
dc.contributor.authorOria, Vincent
dc.contributor.authorYu, Xiangqian
dc.date.accessioned2012-05-21T13:51:35Z
dc.date.available2012-05-21T13:51:35Z
dc.date.issued2011
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/9259
dc.language.isoenen
dc.subjectrecognitionen
dc.subjectob ject classificationen
dc.subjectlevenshtein distanceen
dc.subjectsegmentationen
dc.subjectgeon extractionen
dc.subject.ddc006.3en
dc.title2D geon based generic object recognitionen
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherUniversite de Bourgogne;France
dc.contributor.editoruniversityotherNew Jersey Institute of Technology, Newark,;États-Unis
dc.description.abstractenThe Recognition by Components(RBC) is a theory in Psychology introduced by Biederman in the late 80s, by which humans perceive scenes through simple 3D objects with regular shapes such as spheres, cubes, cylinders, cones, or wedges, called Geons (geometric ions). Extracting geons from 2D images is a very challenging task as it requires a good segmentation and the recognition of the 3D geons in a 2D space. In this paper, we propose a novel approach for extracting 2D geons from 2D images. The process is composed of three major parts: image preprocessing which includes image background removal and segmentation, arc-geon detection, and polygon-geon detection. We also propose a general procedure for matching the extracted 2D geons to given models for object recognition. Experiment results show that our approach is competitive compared to existing object recognition methodologies in general.en
dc.identifier.citationpages1493-1496en
dc.relation.ispartoftitleProceedings of the 19th ACM international conference on Multimediaen
dc.relation.ispartofpublnameACMen
dc.relation.ispartofdate2011
dc.relation.ispartofurlhttp://dx.doi.org/10.1145/2072298.2072048en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn978-1-4503-0616-4en
dc.relation.conftitleMM '11en
dc.relation.confdate2011-10
dc.relation.confcityScottsdaleen
dc.relation.confcountryÉtats-Unisen


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