DocumentCode :
2134423
Title :
Research on Local Image Navigation Method for Visual-Impaired Person
Author :
Wang, Xiaoli ; Wang, Lirong ; Yin, Jia ; Zhang, Chao
Author_Institution :
Coll. of Electron. & Inf. Eng., Changchun Univ., Jilin, China
fYear :
2010
fDate :
18-22 Aug. 2010
Firstpage :
613
Lastpage :
618
Abstract :
Due to no navigation in small area of the existing navigation system, we proposed an image-based matching navigation system for people with disabilities can walk in the designated area. Firstly, acquire and process the image captured from specified area by CCD digital video camera to establish Benchmark Image Library. And then pre-process the real-time image captured in walking to get Real-time Image Library. To match benchmark image with real-time image by fast scene matching algorithm based on SIFT feature. After that, match feature points for image that maybe rotation or change in scaling in different lighting and camera angles. Experimental results show that performance of the algorithm meet the requirements of high-performance of scene matching navigation systems.
Keywords :
feature extraction; handicapped aids; image matching; navigation; video cameras; CCD digital video camera; SIFT feature; benchmark image library; fast scene matching algorithm; image based matching navigation system; local image navigation method; real time image library; visual impaired person; Accuracy; Benchmark testing; Digital cameras; Feature extraction; Navigation; Pixel; Real time systems; Image Navigation; RANSAC algorithm; SIFT; Scene matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on
Conference_Location :
Changchun, Jilin Province
Print_ISBN :
978-1-4244-7779-1
Type :
conf
DOI :
10.1109/FCST.2010.96
Filename :
5575587
Link To Document :
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