3D objects descriptors methods: Overview and trends
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | 3D objects descriptors methods: Overview and trends |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | H'roura J, Bekkari A, Mammass D, Bouzit A, Mansouri A, Roy M, Le Goic G |
| Editor | ElHassouni M, Karim M, BenHamida A, BenSlima A, Solaiman B |
| Conference Name | 2017 3RD INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP) |
| Publisher | Univ Sidi Mohamed Ben Abdellah; Fac Sci; Fac Med & Pharm; CNRST; TICSM; IEEE Morocco Sect; IEEE Signal Proc Soc Morocco Chapter |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5386-0551-6 |
| Mots-clés | 3D objects, Computer vision, Keypoints, Recognition, skeleton |
| Résumé | Object recognition or object's category recognition under varying conditions is one of the most astonishing capabilities of human visual system. The scientists in computer vision have been trying for decades to reproduce this ability by implementing algorithms and providing computers with appropriate tools. Hence, several intelligent systems have been proposed To act in this field, numerous approaches have been proposed In this paper we present an overview of the current trend in 3D objects recognition and describe some representative state of the art methods, highlighting their limits and complexity. |