Open AccessIndoor image matching algorithm based on improved SIFT algorithm
Author(s) -
Libiao Zhang,
Yuqing Liu,
Chengqi Zhang,
Bin Zhang,
Meiyi Ge
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/5/052131
Subject(s) - scale invariant feature transform , algorithm , matching (statistics) , computer science , image (mathematics) , identification (biology) , blossom algorithm , artificial intelligence , feature (linguistics) , feature matching , function (biology) , energy (signal processing) , image matching , pattern recognition (psychology) , computer vision , mathematics , linguistics , statistics , botany , philosophy , evolutionary biology , biology
Aiming at the indoor positioning by using SIFT algorithm, because the structure information is more or similar, and there is no obvious identification, which will lead to low accuracy and poor applicability, this paper proposes an improved SIFT algorithm for image matching. Choosing Junction feature which is more suitable for indoor structure, and combining with the improved CPW energy function method to eliminate mismatching points. By testing the actual image to compare and analyze get the feasibility and validity of the new algorithm.