Depth-Map Generation using Pixel Matching in Stereoscopic Pair of Images
This work addresses the need for better 3D content creation in multimedia, though it appears incremental as it builds on existing depth-map generation approaches.
The paper tackles the problem of generating depth-maps from stereoscopic image pairs by proposing a new pixel-to-pixel matching algorithm, resulting in improved depth-maps compared to existing methods.
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.