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- W1995578368 abstract "We propose a novel monocular vision-based framework for both satellite recognition and pose estimation, using homeomorphic manifold analysis. We use a unified conceptual manifold to represent continuous pose variation of all satellites in the visual input space, learn nonlinear function mapping from conceptual manifold representation to visual inputs, and decompose discrete category variation in the mapping coefficient space. Experimental results on a simulated image data set show the effectiveness and robustness of our approach." @default.
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- W1995578368 date "2015-01-01" @default.
- W1995578368 modified "2023-10-16" @default.
- W1995578368 title "Satellite recognition and pose estimation using homeomorphic manifold analysis" @default.
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- W1995578368 doi "https://doi.org/10.1109/taes.2014.130744" @default.
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