  Modern day multimedia content generation and dissemination is moving towards
the presentation of more and more `realistic' scenarios. The switch from
2-dimensional (2D) to 3-dimensional (3D) has been a major driving force in that
direction. Over the recent past, a large number of approaches have been
proposed for creating 3D images/videos most of which are based on the
generation of depth-maps. This paper presents a new algorithm for obtaining
depth information pertaining to a depicted scene from a set of available pair
of stereoscopic images. The proposed algorithm performs a pixel-to-pixel
matching of the two images in the stereo pair for estimation of depth. It is
shown that the obtained depth-maps show improvements over the reported
counterparts.
