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.