CHEN Long, PAN Zhimin, LI Qingquan, XIAO Shilun. Multi View Traffic Sign Recognition Based on ASIFT[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 553-556.
Citation:
CHEN Long, PAN Zhimin, LI Qingquan, XIAO Shilun. Multi View Traffic Sign Recognition Based on ASIFT[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 553-556.
CHEN Long, PAN Zhimin, LI Qingquan, XIAO Shilun. Multi View Traffic Sign Recognition Based on ASIFT[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 553-556.
Citation:
CHEN Long, PAN Zhimin, LI Qingquan, XIAO Shilun. Multi View Traffic Sign Recognition Based on ASIFT[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 553-556.
Multi View Traffic Sign Recognition Based on ASIFT
Considering the multi view traffic signs in the nature scenario. This paper proposes a ASIFT MATCH(affine scale invariant feature transform,ASIFT) based multi view traffic sign recognition method. Making use of the ASIFT invariant features, we classify the signs by calculating the number of the valid matching points. Experiments show this method perform well even on the low angle signs.
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