Image Understanding

where ~ means satisfying a distribution and kd is a constant. This model indicates that the expectation of the disparity at (u, v) equals the expectation of the disparity at the center of the window (0, 0), but the variance of their disparity difference increases with the increment of the distance from (u, v) to (0, 0).

Suppose further that the first-order partial differential of the image intensity at (u, v) in fL(x, y) satisfies the following statistical model

$\frac{\partial }{{du}_{}}{f}_L\left(u,v\right)~N\left(0,k_{\text{f}}\right)\left(2.52\right)$

where kf is a constant that denotes the fluctuant of the image intensity along a local direction (see below). This model indicates that the expectation of the image intensity at (u, v ...