The TPCA method with the smooth term iteratively removes the noise caused by TCC census raw matching.
The pairwise term can be considered as a smooth term, which penalizes the inconsistent labeling among images.
For each estimated additive model, approximate t-tests can be constructed to determine the significance of each smooth term.
In the model the time trend is fitted with a smooth term and linear coefficients are estimated for the variables sex, age and region.
The TPCA combines data term and smooth term together in order to achieve accurate disparity maps in smooth areas and precise object boundaries.
and λ is the smooth term parameter; if the value of λ is increased, the occlusion and wrong disparity areas shrink apparently between them, and vice versa.
The initial horizontal smooth term at x = 1 is set as Fig. 5 The diagram of solution using horizontal smooth term {C}_{mathrm{smooth}}^hleft left 1, yright), dright)={C}_{mathrm{TCC}}left left 1, yright), dright); yin left[1,mathrm{H}right]. (6).
For semi-global disparity estimation, the aim of this disparity space model is first to find the position of minimum disparity cost in horizontal direction from x = 1 to x = W by using horizontal iterative smooth term.
The second and third terms are the smooth term and the length restraint term of the contour C. In fact, because of non-convex property, it is a difficult problem to find the optimal solution of (1).
In the context of our additive models, the partial residual plots help us assess the relationship between the response variable and each smooth term, given that the other smooth terms are in the model.
Initially, for y = 1, the vertical smooth term is set as {C}_{mathrm{smooth}}^vleft left( x,1right), dright)={C}_{mathrm{smooth}}^hleft left( x,1right), dright); kern0.5em xin left[1,mathrm{W}right] (9).
