An algorithm for estimating reliable and accurate depth maps from stereoscopic image pairs is presented, which is based on block–matching techniques for disparity estimation. By taking neighboring disparity values into account, reliability and accuracy of the estimated disparity values are increased and the corona effect at disparity discontinuities is avoided. An interpolation of disparity val...

Local disparity signals must interact in visual cortex to represent boundaries and surfaces of three-dimensional (3D) objects. We investigated how disparity signals interact in 3D contours and in 3D surfaces generated from the contours. We compared flat (single disparity) stimuli with curved (multi-disparity) stimuli. We found no consistent differences in sensitivity to contours vs. surfaces; f...

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...