In this paper, we propose a modified disparity estimation method using belief propagation (BP) for view interpolation. The view interpolation method generates an arbitrary intermediate view image with disparity. To extract disparities, we modified the BP based stereo matching algorith which solves the problem using Bayesian belief propagation. We propose two methods to improve accuracy of dispa...

Neurons selective for binocular disparity are found in a number of visual cortical areas in primates, but there is little evidence that any of these areas are specialized for disparity processing. We have examined the organization of disparity-selective neurons in the middle temporal visual area (MT), an area shown previously to contain an abundance of disparity-sensitive neurons. We recorded e...

Older minority Americans experience worse health outcomes than their white counterparts, exhibiting the need for social justice in all areas of their health care. Justice, fairness, and equity are crucial to minimizing conditions that adversely affect the health of individuals and communities. In this paper, Alzheimer's disease (AD) is used as an example of a health care disparity among elderly...

Light field imaging is a rich way of representing the 3D world around us. However, due to limited sensor resolution capturing light field data inherently poses spatio-angular resolution trade-off. In this paper, we propose a deep learning based solution to tackle the resolution trade-off. Specifically, we reconstruct full sensor resolution light field from a single coded image. We propose to do...

1 ABSTRACT Stereo matching is fundamental to applications such as 3-D visual communications and depth measurements. There are several diierent approaches towards this objective, including feature-based methods, 1,2 block-based methods, 3,4 and pixel-based methods. 5 Most approaches use regularization to obtain reliable elds. Generally speaking, when smoothing is applied to the estimated depth e...

Can the motion system selectively process elements at a particular depth? We attempted to answer this question using global coherence tasks in which signal and noise elements could be given different disparities. In experiment 1 we found that, if all the signal elements had a disparity different from that of the noise elements, performance was far better than when they had the same disparity (a...

In this paper, we demonstrate how disparity maps could be improved by applying adaptive windows (varying in their shape). In our approach, windows adapt to high-correlation structures in disparity space, which we call disparity components. The method is straightforward and it is applicable to any stereo algorithm. This helps us in solving standard stereo problems such as: (1) to enforce the int...

Perceived slant produced by size disparities in random-dot displays was measured by tactile matching. For a 60 deg surface, slant produced by vertical-size disparity (the induced effect) was opposite to that produced by horizontal-size disparity. Overall-size disparity produced a little slant. With small displays, effects of horizontal and vertical disparities were reduced but not those of over...

We present a new algorithm for solving the stereo vision matching problem by using dynamic programming. Edge pixels extracted from two images are matched and a dense disparity map is obtained by tilling in the spaces between two consecutive edge pixels. (~) 1997 Elsevier Science B.V.