Automatic 2D to 3D video and image conversion based on global depth map

3d technology brings a new era of entertainment to the human race. It offered a wide array of possibilities in near future in almost every walk of life and in entertainment segment. 3D content generation is the important step in 3D systems. Special cameras such as stereoscopic dual camera, depth range camera etc. are designed to generate the 3D model of a scene directly. There are different techniques to generate the 3D content. But the problem is our current and past media data are in 2D which needs to convert into 3D. This is where the importance of 2D to 3D transformation arises. In this paper proposed real time 3D image and video creation by depth map estimation. Depth map estimation can be done in two methods. One is based on depth fusion method and other is based on saliency map of an image. In dataset image estimate the depth map from depth fusion method and then depth is refined by color spatial variance. In non dataset images we find depth map by global saliency method. Experimental result demonstrates that the proposed technique convey better performance compared to the state-of-the-art of methods.