In this study, we proposed a new maximum disparity estimation method and evaluated its performance in comparison with other four state-of-the-art methods, as a simple, fast, and objective 3D video quality assessment method.
These comparisons are performed by introducing a generalized model for each hardware architecture, scalable depending on design parameters such as Census Transform window size and maximum disparity range.
The minimum and the maximum disparity of Panum's fusional area of the stereo image are defined by Db and Df, respectively.
These features may include, for example, the maximum disparity, disparity range, disparity energy, and other measures of the disparity distribution.
Additionally if the pattern length is given in the form of maximum disparity search range, the algorithm using branch-and-bound search scheme to find an optimal sub-sequence of a non-recurring De Bruijn sequence is proposed.
The former scenario is supported by the observation that clades commonly reach their maximum disparity early in their evolution [ 77] and rates of morphological change are greater during this interval [ 78].
Also, Middlebury provides the maximum disparity values of each image individually.
Under fixed viewing conditions, the vergence-accommodation conflict can be related to the maximum disparity.
The maximum disparity values occurring in Middlebury database are as follows: for 6 of the images, their absolute maximum disparities are less than 20 pixels (≈5% of the scene), and in the remaining 27 images, the absolute maximum disparities vary between 38 to 71 (≈10% to 16% of the scene).
The maximum disparity between households is observed in "other transport," which varies more than 5 times between Q1 (0.010 g/y) and Q5 (0.052 g/y).
