Title :
An extraction and recognition method for partially hidden objects
Author :
Takaaki Oka;Masakazu Morimoto
Author_Institution :
Graduate School of Engineering, University of Hyogo, Himeji, JAPAN
fDate :
6/1/2015 12:00:00 AM
Abstract :
To realize object recognition in practical applications, it is necessary to handle layered objects. In this paper we introduce RGB-D sensor for object recognition system to treat overlapped objects. In the proposed method, we divide objects into segments and merge them by consulting partially recognition scheme. By several experiments, out method can recognize 30% occluded object with enough accuracy.
Keywords :
"Shape","Image segmentation","Feature extraction","Accuracy","Image recognition","Object recognition","Cameras"
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2015 International Conference on
DOI :
10.1109/ICIEV.2015.7334055