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Class Summary | |
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BeliefPropagation | some implementation notes: = we perform message-passing on the factor graph representation of a given Table[] array. |
MaxProduct | |
MaxProductLinearSmoothness | Max-Product BP with more efficient message updates as in "Efficient Belief Propagation for Early Vision" by Felzenszwalb and Huttenlocher CVPR 2004, IJCV 2006 this assumes smoothness cost: \rho_p(d_s,d_t) = min(\lambda |d_s-d_t|,T) as in "Symmetric Stereo Matching for Occlusion Handling" by Sun, Li, Kang, and Shum CVPR 2005 |
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