Effects of diotic fringes on interaural disparity detection (L)

2012 ◽  
Vol 132 (5) ◽  
pp. 2959-2962 ◽  
Author(s):  
Nicolas Le Goff ◽  
Armin Kohlrausch ◽  
Torsten Dau
Keyword(s):  
Disparity Detection

Observations on Spatial-Frequency Doubling

Perception ◽  
1974 ◽  
Vol 3 (1) ◽  
pp. 81-86 ◽  
Author(s):  
C W Tyler
Keyword(s):  
Spatial Frequency ◽  
Transient Response ◽  
Frequency Doubling ◽  
Amacrine Cells ◽  
Distortion Model ◽  
Detection Model ◽  
Disparity Detection

The involvement of disparity detectors in the perception of spatial-frequency doubling in a flickering grating was tested by viewing the grating horizontally. Frequency doubling was unimpaired, and must therefore occur independently of disparity detection. A distortion model of frequency doubling was compared with a flicker-detection model, in predicting the appearance of nonsinusoidal gratings. The results support the flicker-detection model but not the distortion model. Physiological considerations suggest that spatial-frequency doubling may be mediated by the transient response of the amacrine cells in the retina.

Local and global factors in disparity detection of rows of points

1988 ◽  
Vol 28 (1) ◽  
pp. 171-178 ◽  
Author(s):  
M. Fahle ◽  
G. Westheimer
Keyword(s):  
Disparity Detection

Disparity Detection in Anticorrelated Stereograms

Perception ◽  
1998 ◽  
Vol 27 (11) ◽  
pp. 1367-1377 ◽  
Author(s):  
Bruce G Cumming ◽  
Susan E Shapiro ◽  
Andrew J Parker
Keyword(s):  
Disparity Detection

scholarly journals The effect of depth variation on disparity tasks in natural scenes

2017 ◽  
Author(s):  
Arvind V. Iyer ◽  
Johannes Burge
Keyword(s):  
Disparity Estimation ◽  
Stereo Image ◽  
Natural Scenes ◽  
Occlusion Detection ◽  
Spatial Integration ◽  
Stereo Images ◽  
Distance Measurements ◽  
Depth Variation ◽  
Disparity Detection ◽  
Local Depth

ABSTRACTLocal depth variation is a distinctive property of natural scenes and its effects on perception have only recently begun to be investigated. Here, we demonstrate how natural depth variation impacts performance in two fundamental tasks related to stereopsis: half-occlusion detection and disparity detection. We report the results of a computational study that uses a large database of calibrated natural stereo-images with precisely co-registered laser-based distance measurements. First, we develop a procedure for precisely sampling stereo-image patches from the stereo-images, based on the distance measurements. The local depth variation in each stereo-image patch is quantified by disparity contrast. Next, we show that increased disparity contrast degrades performance in half-occlusion detection and disparity detection tasks, and changes the size and shape of the optimal spatial integration areas (“receptive fields”) for computing the task-relevant decision variables. Then, we show that a simple binocular image statistic predicts disparity contrast in natural scenes. Finally, we report results on the most likely patterns of disparity variation in natural scenes. Our findings motivate computational and psychophysical investigations of the mechanisms that underlie disparity estimation in local regions of natural scenes.

Behavioural and Visual Evoked Potential Measures of the Role of Disparity in Stereo Detection and Discrimination

Perception ◽  
1996 ◽  
Vol 25 (1_suppl) ◽  
pp. 139-139
Author(s):  
C M Selmes ◽  
D C Finlay ◽  
W R Fulham
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Background Condition ◽  
Depth Direction ◽  
Depth Discrimination ◽  
Uncrossed Disparity ◽  
Random Dot Stereograms ◽  
Disparity Detection ◽  
Visual Evoked

The initial experiment in this research used psychophysical responses to dynamic random-dot stereograms (DRDS) to examine disparity detection and disparity or depth discrimination in stereopsis. Using identical crossed and uncrossed disparity stimuli across conditions at 150 ms exposure, we found that while disparity could be detected and form discriminated, observers were unable to discriminate depth direction. These results suggest that disparity detection is a faster process than disparity discrimination and that form can be discriminated prior to the assignment of depth direction. In a second experiment we examined disparity (correlation) and noncorrelation in stereopsis and used visual evoked potentials (VEPs) in response to three DRDS displays: (a) a target containing disparity on a correlated background, (b) an uncorrelated target on a correlated background, and (c) a target containing disparity on an uncorrelated background. At 200 ms stimulus exposures, VEPs to regions of disparity and regions of noncorrelation on correlated backgrounds were largely undifferentiated. There was not, however, any discernible VEP to stimuli incorporating disparity on an uncorrelated background. These findings imply that while form may be discriminated on the basis of a region of disparity (correlation) in stereopsis, the uncorrelated background condition suggests this is a slow process, since there was no apparent response to form or depth in the recording epoch. Early processes may regard the entire DRDS as a region of noncorrelation with both target and background being mismatched, and hence initially undifferentiated. A faster process may discriminate form on the basis of a region of noncorrelation, as suggested by the correlated background conditions.

Reaction–diffusion algorithm for stereo disparity detection

2008 ◽  
Vol 20 (3) ◽  
pp. 175-187 ◽  
Author(s):  
Atsushi Nomura ◽  
Makoto Ichikawa ◽  
Hidetoshi Miike
Keyword(s):  
Reaction Diffusion ◽  
Stereo Disparity ◽  
Disparity Detection
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