Interocular Phase Difference Research Articles

Techniques for disparity measurement

Many different approaches have been suggested for the measurement of structure in space from spatially separated cameras. In this report we critically examine some of these techniques. Through a series of examples we show that none of the current mechanisms of disparity measurement are particularly robust. By considering some of the implications of disparity in the frequency domain, we present a new definition of disparity that is tied to the interocular phase difference in bandpass versions of the monocular images. Finally, we present a new technique for measuring disparity as the local phase difference between bandpass versions of the two images, and we show how this technique surmounts some of the difficulties encountered by current disparity detection mechanisms.

The influence of bandwidth and temporal properties of spatial noise on binocular masking-level differences

Low-frequency horizontally oriented gratings presented with an 180° vertical interocular phase difference are detected in visual masking noise with nearly one log unit less contrast than gratings with no interocular phase difference. The difference in detectability, the Binocular Masking-Level Difference (BMLD), does not depend on differences in the temporal characteristics of the signal and noise gratings. Although the BMLD is larger with narrowband noise than with broadband noise, it was not sufficiently larger to support the notion that the BMLD is based solely on interocular phase cues.