Orientation disparity, the difference in orientation that results when a texture element on a slanted surface is projected to the two eyes, has been proposed as a binocular cue for 3D orientation. Since orientation disparity is confounded with position disparity, neither behavioral nor neurophysiological experiments have successfully isolated its contribution to slant estimates or established w...

Most models of disparity selectivity consider only the spatial properties of binocular cells. However, the temporal response is an integral component of real neurons' activities, and time-varying stimuli are often used in the experiments of disparity tuning. To understand the temporal dimension of V1 disparity representation, we incorporate a specific temporal response function into the dispari...

Visual overlay masking is typically studied with a mask and target located at the same depth plane. Masking is reduced when binocular disparity separates the target from the mask (G. Moraglia & B. Schneider, 1990). We replicate this finding for a broadband target masked by natural images and find the greatest masking (threshold elevation) when target and mask occupy the same depth plane. Maskin...

Specifying software quality for a product that has still to be developed is difficult for the purchaser or supplier. The purchaser needs to understand clearly and be able to communicate his/her requirements for the product to be developed. The supplier needs to be certain he/she understands the requirement, and is able to assess with confidence whether it is possible to provide the product with...

We propose a fast depth reconstruction algorithm for stereo sequences using camera geometry and disparity estimation. In disparity estimation process, we calculate dense background disparity fields in an initialization step so that only disparities of moving object regions are updated in the main process using real-time segmentation and hierarchical disparity estimation techniques. The estimate...

The current paper proposes a real-time dense stereo matching algorithm based on a DSI (Disparity Space Image ) data structure that can produce accurate disparity map. Our approach divides the disparity map computing into two main steps. The first step deals with the computing of the initial disparity map using DSI method. The second step presents a simple and a fast method to refine the initial...

A Madden–Jillian oscillation (MJO) and boreal summer intraseasonal (BSISO) are important climate variabilities, which affect a forecast of weather climate. In this study, the MJO BSISO hindcasts from Global Seasonal Forecast System, version 5 (GS5) were diagnosed using dynamic-oriented theories. We additionally analyzed GS5 climatological run to identify whether weakness hindcast results model ...

A central problem in stereo matching by computing correlation or sum of squared differences (SSD) lies in selecting an appropriate window size. If the window is too small and does not cover enough intensity variation, it gives a poor disparity estimate, because the signal (intensity variation) to noise ratio is low. If, on the other hand, the window is too large and covers a region in which the...