Sentence examples for disparity distribution from inspiring English sources

Here, we deploy the same features to model a perceptually processed disparity distribution.

Hence, we instead only study discomfort prediction frameworks based on analysis of the disparity distribution.

These features may include, for example, the maximum disparity, disparity range, disparity energy, and other measures of the disparity distribution.

These features included the disparity location, disparity gradient, disparity range, maximum angular disparity, and disparity distribution [7, 12 16].

However, computation of the full disparity distribution with an advanced Bayesian model is usually an intractable problem, and proves computationally challenging even with a simple model.

For the disparity distribution in the left image, this is begin{aligned} &{Q_{i}^{L}}(d) = frac{1}{Z_{i}} exp left{{vphantom{sum_{j}}}-{phi_{u}^{L}}(x_{i}) - right.

By observing the histograms of the disparity distributions in Fig. 2, it may be seen that the disparities produced by DSSIM and DSAD span nearly the entire disparity range.

The corresponding disparity maps e h calculated by DFLOW, i l calculated by DSSIM, and m p calculated by DSAD Fig. 2 Histograms or empirical disparity distributions corresponding to the images "cup," "human," "lawn," and "stone".

Feature extraction from disparity distributions measured on the DSSIM and DSAD maps will likely be seriously affected by the high percentages of estimated errors, thereby adversely affecting discomfort prediction results.

In turn, this pattern of age disparity distributions reflects the fact that young men typically partner with women their own age, but older men partner with younger as well as same-aged women.

The age, gender, education and rural - urban disparities distributions of each cohort are detailed in Table  5.