DocumentCode :
3695384
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
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
4
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"
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICIEV.2015.7334055
Filename :
7334055
Link To Document :
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