This paper presents a practical way of adjusting global disparity with binocular energy model and image partition
for given stereoscopic images. Previous method estimated a single global disparity and then used it directly to
control the convergence angle between cameras. But, the previous method might cause local disparities to be
excessive in some regions since a single global disparity has been considered. Hence in this paper, we consider how
to mitigate the excessive disparities in some regions. To begin with, we partition the stereoscopic images into 4
sub-images, respectively, and then calculate multiple local disparities for a pair of partitioned images. Secondly,
we define a new disparity by the average value of the local disparities. Lastly, the newly defined disparity is used
to adjust the global disparity of the given stereoscopic images. Through experimental results, we show that the
proposed method can prevent the local disparities from being excessive in some regions.
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