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- W2912101708 abstract "In order to solve the problems of image differences in scale, rotation, grayscale and 3D viewpoint, and achieve target recognition during electro-optical imaging terminal guidance, a new invariant descriptor based on Local Phase Quantization is constructed and a new approach based on the descriptor and Maximally Stable Extremal Regions is proposed. It is steps of realizing the method that, the MSER features of reference image and real-time image which are affine invariant are extracted respectively, rotation, blur and grayscale invariant description based on Local Phase Quantization are performed, the matching MSER features between the two images are obtained based on Euclidean distance ratio criterion, epipolar geometry of the two images is estimated by applying PROSAC to the centers of gravity of the matching MSER features, target location in real-time image are obtained based on the epipolar geometry. Simulation results show that the proposed method provides robust target recognition during electro-optical imaging terminal guidance." @default.
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- W2912101708 date "2012-04-06" @default.
- W2912101708 modified "2023-09-24" @default.
- W2912101708 title "Target Recognition Based on Local Phase Quantization During Electro-optical Imaging Terminal Guidance" @default.
- W2912101708 doi "https://doi.org/10.1109/iceice.2012.805" @default.
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