DocumentCode :
1775491
Title :
Th SIFT features matching for spherical panoramic images
Author :
Shuai Liu ; Lingli Zhao ; Junsheng Li ; Qun Cai
Author_Institution :
Sch. of Eng., Honghe Univ., Mengzi, China
fYear :
2014
fDate :
18-20 June 2014
Firstpage :
914
Lastpage :
917
Abstract :
Realistic panoramic image of its strong, deep, 360-degree panoramic view of the characteristics of convenience by the increasingly widespread concern for the real world to provide full 360 degree scene information, which has been widely applied in various fields. Panoramic three-dimensional measurement reconstruction needs to identify some feature matching. So the paper is focused on the research and applications of Spherical panoramic images feature points matching, introduces a SIFT feature matching method, which is applied to the automatic spherical panoramic image feature points matching.
Keywords :
feature extraction; image matching; SIFT feature matching; automatic spherical panoramic image feature points matching; panoramic 3D measurement reconstruction; realistic panoramic image; scene information; Educational institutions; Feature extraction; Image matching; Image reconstruction; Object recognition; Solid modeling; Vectors; SIFT; panoramic images; points matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/ICCA.2014.6871043
Filename :
6871043
Link To Document :
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