An Automatic Method of Stereoscopic Video Synthesis from Monoscopic Video
Baoliang B. Wang · The Smart Computing Review · 2014
This paper presents a novel depth-image-based rendering system for the generation of stereoscopic video from a monoscopic video sequence. The key point of the proposed system is that all the conversion procedures are accomplished automatically. First, we use Global Motion Estimation and an Adaptive Gaussian Mixture Model to segment the foreground and background. Second, different depth values are assigned to the foreground and background. Finally, image warping according to the depth map and stereoscopic video is synthesized. Experimental results show that the proposed method can effectively segment the foreground from the background and synthesize a satisfactory 3D effect, so the proposed approach is successful.