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- W2183140150 abstract "We present a method for automatic facade rectification and detection in the Manhattan world scenario. A Bayesian inference approach is proposed to recover the Manhattan directions in camera coordinate system, based on a prior we derived from the analysis of urban datasets. In addition, a SVM-based procedure is used to identify right-angle corners in the rectified images. These corners are clustered in facade regions using a greedy rectangular min-cut technique. Experiments on a standard dataset show that our algorithm performs better or as well as state-of-the-art techniques while being much faster." @default.
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- W2183140150 date "2015-09-01" @default.
- W2183140150 modified "2023-10-15" @default.
- W2183140150 title "Prior-Based Facade Rectification for AR in Urban Environment" @default.
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- W2183140150 doi "https://doi.org/10.1109/ismarw.2015.25" @default.
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