Location recognition based on image local feature matching

Zhuoyue Gao; Lin Chai; Lizuo Jin

doi:10.1117/12.2539113

14 February 2020 Location recognition based on image local feature matching

Zhuoyue Gao, Lin Chai, Lizuo Jin

Proceedings Volume 11429, MIPPR 2019: Automatic Target Recognition and Navigation; 114290Q (2020) https://doi.org/10.1117/12.2539113
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Location identification is a research hot spot in computer vision. For a scene with the building, the location recognition method in this paper can accurately detect the building and identify the location. The specific method is to firstly determine the local feature extraction method to obtain more stable local features under different conditions. Secondly, encode image features effectively, build Scene codebook, establish image index, and compare image similarity. Fast and large-scale image retrieval can be achieved in this way. Then, in order to filter out the error matching results and choose the best matching result, a matching algorithm based on local spatial consistency is proposed. The shape model voting method with small calculation amount is proposed to obtain the position of the building in the scene picture. The experimental results show that the method can more accurately identify the location of the building, and the building images show good robustness and distinguishability when they are transformed.

Citation Download Citation

Zhuoyue Gao, Lin Chai, and Lizuo Jin "Location recognition based on image local feature matching", Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 114290Q (14 February 2020); https://doi.org/10.1117/12.2539113

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KEYWORDS

Feature extraction

Image retrieval

Detection and tracking algorithms

Databases

Data modeling

Image filtering

Visualization

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