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[Fast Explicit Diffusion for Accelerated
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Features in Nonlinear Scale Spaces](http://www.bmva.org/bmvc/2013/Papers/paper0013/paper0013.pdf)
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> To preserve low computational demand and storage requirement, we also introduce a
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highly efficient Modified-Local Difference Binary (M-LDB) descriptor. While the original
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LDB descriptor presented in [20] is neither rotation nor scale invariant as BRIEF is, we build
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a robust binary descriptor that is rotation and scale invariant and exploits gradient information
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from the nonlinear scale space, increasing distinctiveness.
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> To preserve low computational demand and storage requirement, we also introduce a highly efficient Modified-Local Difference Binary (M - LDB) descriptor. While the original LDB descriptor presented in [20] is neither rotation nor scale invariant as BRIEF is, we build a robust binary descriptor that is rotation and scale invariant and exploits gradient information from the nonlinear scale space, increasing distinctiveness.
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M-LDBは、LDBを回転不変およびスケール不変にしたものだそうです。
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