Stereoscopic Video Generation From Monoscopic Video

Abstract

Stereoscopic video is relied on the illusion effect of the human eye. Due to the difference of perception of the left and right eyes to reconstructed the stereo effect. The purpose of this project is to generate low quality of stereoscopic video from the monoscopic video. There are two key steps in the stereo video generation, 1) the depth map generation and 2) left and right eye videos generation based on Depth Image based Rendering. The source video is used to estimate the depth map based on motion vectors and segmentation map based on colours. Fusion with depth and segmentation map is a step to get the final depth map. Filtering is applied to final depth map to avoid the clipping effect in the next step, constructing the stereoscopic video based on the DIBR. For user friendly consideration, a graphic user interface is integrated to this project. Base on the motion parallax, the near objects move faster across the human retina than the distant ones which provides important depth cue. The source video requires background is static. Otherwise, it causes significant effect for the depth estimation. Results show that the proposed method achieves good stereo effect for videos with static background.