In this section, we will discuss how to solve the proposed trinocular stereo matching model in details. We apply an iterative optimization algorithm to minimize the energy function (1) defined in our paper, and compute disparity and occlusion by Belief Propagation algorithm. Similar to [2], the optimization process iterates between two steps: 1) estimate occlusion given disparity, and 2) estima...

The structure of human disparity representation is examined through (i) adaptation experiments and (ii) model simulations of the data. Section 3 presents results of adaptation experiments designed to illuminate the structure of human disparity representation. Section 4 presents model simulations of three different disparity representation schemes. In the experiments, participants adapted to a 0...

The masking effect of a Gaussian blob on detection of a Gaussian target was measured as a function of the position, disparity, width and polarity of the mask. The data reveal a large degree of disparity-specific masking that cannot be explained by the masking of its monocular constituents. At 5 degrees eccentricity, the masking range extends about +/-1 degrees around the lines of sight of the t...

A visual search task was used to investigate the spatially parallel coding of depth from binocular disparity and from binocularly unmatched features. Experiment 1, using disparity noise, showed that detectability is higher for illusory phantom targets defined by unmatched features than for disparity-defined targets, although the two targets were equated as to theoretically minimum depth. Experi...

Spatial stereoresolution (the finest detectable modulation of binocular disparity) is much poorer than luminance resolution (finest detectable luminance variation). In a series of psychophysical experiments, we examined four factors that could cause low stereoresolution: (1) the sampling properties of the stimulus, (2) the disparity gradient limit, (3) low-pass spatial filtering by mechanisms e...

Disparity estimation is a fundamental problem of computer vision. Besides other approaches, disparity estimation from phase information is a quite wide-spread technique. In the present paper, we have considered the influence of the involved quadrature filters and we have replaced them with filters based on the monogenic signal. The implemented algorithm makes use of a scale-pyramid and applies ...

Binocular disparities have a straightforward geometric relation to object depth, but the computation that humans use to turn disparity signals into depth percepts is neither straightforward nor well understood. One seemingly solid result, which came out of Wheatstone's work in the 1830s, is that the sign and magnitude of horizontal disparity predict the perceived depth of an object: 'positive' ...

Vertical binocular disparity is a source of distance information allowing the portrayal of the layout and 3D metrics of the visual space. The role of vertical disparity in the perception of depth, size, curvature, or slant of surfaces was revealed in several previous studies using cue conflict paradigms. In this study, we varied the configuration of stereo-cameras to investigate how changes in ...

between the two eyes' receptive fields. The phase-shift model proposes that disparity is computed by a difference in the arrangement of ON and OFF subunits between the two eyes' receptive fields. This model is based Harvard Medical School on the hypothesis that simple cell receptive fields are 220 Longwood Avenue well modeled by A Gabor function is a product of a Gaussian and a sine wave. The p...

MNI coordinates determined using SPM2 and FSL/FLIRT with the ICBM-152 template were compared to Talairach coordinates determined using a landmark-based Talairach registration method (TAL). Analysis revealed a clear-cut bias in reference frames (origin, orientation) and scaling (brain size). Accordingly, ICBM-152 fitted brains were consistently larger, oriented more nose down, and translated sli...