2D-to-3D Conversion Based on Motion and Color Mergence

In this paper, we present an efficient scheme to synthesize stereoscopic video from monoscopic video. We use the improved optical flow method to extract pixel-level motion for each frame. By considering the intensity of the estimated motion, we can classify the moving objects. Then, to achieve more accurate classification, we combine color information in the frame using the method derives from the minimum discrimination information (MDI) principle. Finally, constraints-involved flood-fill method is developed to segment the frame and assign depth values for different segmented regions. The experimental results show that our scheme achieves good performances on both segmentation and depth determination.