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• W2567687466 abstract "We present an approach for detecting and matching building facades between aerial view and street-view images. We exploit the regularity of urban scene facades as captured by their lattice structures and deduced from median-tiles' shape context, color, texture and spatial similarities. Our experimental results demonstrate effective matching of oblique and partially-occluded facades between aerial and ground views. Quantitative comparisons for automated urban scene facade matching from three cities show superior performance of our method over baseline SIFT, Root-SIFT and the more sophisticated Scale-Selective Self-Similarity and Binary Coherent Edge descriptors. We also illustrate regularity-based applications of occlusion removal from street views and higher-resolution texture-replacement in aerial views." @default.
• W2567687466 created "2017-01-06" @default.
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• W2567687466 date "2016-06-01" @default.
• W2567687466 modified "2023-10-17" @default.
• W2567687466 title "Regularity-Driven Building Facade Matching between Aerial and Street Views" @default.
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• W2567687466 doi "https://doi.org/10.1109/cvpr.2016.176" @default.
• W2567687466 hasPublicationYear "2016" @default.
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