Efficiently utilizing the stereo Images to generate a desirable semi dense disparity map is a challenging problem. Disparity image is a projected geometric space contains more primitive information directly computed from stereo Images. Stereo matching is considered as difficult in image processing due to complexity and structure ambiguity. In this Paper, we propose a novel efficient disparity i...

introduction: health care is one of the most important sectors in the development of each country and disparities in their distribution will reduce the level of development. the aim of this study was to examine the access to healthcare and degree of development in health care resources in the west of iran in 2011. method: this was a cross-sectional and retrospective study. the study setting was...

Traditional measurements of fixation disparity, like other binocidar measurements, confound influences from both blur-driven and disparity-driven components. Measuring fixation disparity with accommodation open-loop eliminates accommodative interactions, and results show fixation disparity is reduced to about half the value observed normally for high levels of forced vergence. Thus fixation dis...

Motivated by the need to meaningfully implement the Institute of Medicine's (IOM's) definition of health care disparity, this paper proposes statistical frameworks that lay out explicitly the needed causal assumptions for defining disparity measures. Our key emphasis is that a scientifically defensible disparity measure must take into account the direction of the causal relationship between all...

Binocular disparities applied to large-field patterns elicit vergence eye movements at ultra-short latencies. We used the electromagnetic search coil technique to record the horizontal and vertical positions of both eyes while subjects briefly viewed (150 ms) large patterns that were identical at the two eyes except for a difference in position (binocular disparity) that was varied in direction...

Algorithms that predict the degree of visual discomfort experienced when viewing stereoscopic 3D (S3D) images usually first execute some form of disparity calculation. Following that, features are extracted on these disparity maps to build discomfort prediction models. These features may include, for example, the maximum disparity, disparity range, disparity energy, and other measures of the di...

Judgments of visual depth rely crucially on the relative binocular disparity between two visual features. While areas of ventral visual cortex contain neurons that signal the relative disparity between spatially adjacent visual features, the same tests in dorsal visual areas yield little evidence for relative disparity selectivity. We investigated the sensitivity of neurons in dorsal visual are...