Mateo Agulló, Carlos, Gil, Pablo, Torres, Fernando
A Performance Evaluation of Surface Normals-Based Descriptors for Recognition of Objects using CAD-Models
ICINCO 2014, Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Vienna, Austria, 1-3 September, 2014. SciTePress, 2014, pp. 428-435
URI: http://hdl.handle.net/10045/45469
DOI: 10.5220/0005056504280435
ISSN: 
ISBN: 978-989-758-040-6
Abstract: 
This paper describes a study and analysis of surface normal-base descriptors for 3D object recognition. Specifically, we evaluate the behaviour of descriptors in the recognition process using virtual models of objects created from CAD software. Later, we test them in real scenes using synthetic objects created with a 3D printer from the virtual models. In both cases, the same virtual models are used on the matching process to find similarity. The difference between both experiments is in the type of views used in the tests. Our analysis evaluates three subjects: the effectiveness of 3D descriptors depending on the viewpoint of camera, the geometry complexity of the model and the runtime used to do the recognition process and the success rate to recognize a view of object among the models saved in the database.
Keywords:Object recognition, Surface descriptors, Surface normal, Geometric modelling, 3D vision
SCITEPRESS
info:eu-repo/semantics/conferenceObject