A transformation-invariant recursive subdivision method for shape analysis
作者： Zhu Quiming , Poh Lay-Kheng
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摘要: A method is presented for shape analysis by recursive subdivisions. The subdivisions are invariant with respect to translation, scaling, rotation, and intensity shifting. Eigenvectors of the second central movements used derive such hierarchical description uses invariants defined on moments approach emphasizes local feature recognizing object shapes as similar. >
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