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Recognizing multiple overlapping objects in image: an optimal formulation
Li, S.Z.;
Image Processing, IEEE Transactions on
Volume 9,
Issue 2,
Feb. 2000
Page(s):273
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277
Abstract:
A statistically optimal formulation is presented for recognizing multiple, partially occluded objects. The optimality, in terms of the maximum a posteriori (MAP) principle, is with respect to all, rather than just individual modeled objects. Various constraints are incorporated into the posterior distribution, a two-stage MAP estimation approach is proposed to reduce the computational cost
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