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
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;
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
DOI :
10.1109/ICCA.2014.6871043