An efficient 3D video frame interpolation method using color-depth-motion information

An efficient frame interpolation method for 3D video is proposed in this paper. First, the motion vector field (MVF) of the interpolated frame is estimated using bidirectional motion estimation method. Then, the blocks in the interpolated frame are classified into occlusion and normal blocks according to the depth information. After that, the motion vector (MV) outliers of the normal blocks are detected and corrected. Furthermore, the MVs of the occlusion blocks are post-processed using a foreground matching method, and one occlusion block is segmented into foreground and background parts, which will be interpolated discriminatively. Simulation results show that the proposed method achieves higher PSNR and SSIM values than traditional motion-compensated frame interpolation (MCFI) methods, and moreover, the visual quality of the interpolated frames using the proposed method is better.