DocumentCode :
1790475
Title :
Object recognition for vision-based navigation in indoor environments without using image database
Author :
Hyunho Lee ; Jaehun Kim ; Chulki Kim ; Minah Seo ; Seok Lee ; Soojung Hur ; Taikjin Lee
Author_Institution :
Sensor Syst. Res. Center, Korea Inst. of Sci. & Technol., Seoul, South Korea
fYear :
2014
fDate :
22-25 June 2014
Firstpage :
1
Lastpage :
2
Abstract :
This paper proposed recognizing methods of the indoor objects for the vision-based indoor navigation using the smartphone camera without using an image database. It is better realizable and cost-effective system than conventional system which uses an image database. In this proposed approach, we define the metrics to recognize indoor objects.
Keywords :
cameras; navigation; object recognition; indoor environments; indoor object recognizing method; object recognition; smartphone camera; vision-based indoor navigation; Feature extraction; Image databases; Image recognition; Measurement; Navigation; Object recognition; Robustness; indoor object recognition; vision-based indoor navigation; without using image database;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
Type :
conf
DOI :
10.1109/ISCE.2014.6884460
Filename :
6884460
Link To Document :
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