Title :
A novel method for automatic 2D-to-3D video conversion
Author :
Yan, Youwei ; Xu, Feng ; Dai, Qionghai ; Liu, Xiaodong
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
In this paper, we propose an efficient scheme to automatically convert existing 2D videos to 3D ones. The proposed method extracts motion information from two consecutive frames to estimate depth map for each of them. In the method, we first develop a region-based Graph cut method to fast and accurately perform motion segmentation, which is robust to large interframe motions. Then, a depth assigning step for the segments is conducted to obtain a smooth depth map for each frame. Experimental results on standard testing sequences demonstrate that our scheme achieves accurate motion segmentation and accordingly smooth depth map.
Keywords :
data compression; image segmentation; video coding; automatic 2D-to-3D video conversion; depth map estimation; graph cut method; motion information extraction; motion segmentation; Automation; Cameras; Computer vision; Data mining; Image motion analysis; Image segmentation; Karhunen-Loeve transforms; Layout; Motion estimation; Motion segmentation; 2D-to-3D; EMD; Graph cut; Motion segmentation; Over segmentation;
Conference_Titel :
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2010
Conference_Location :
Tampere
Print_ISBN :
978-1-4244-6377-0
Electronic_ISBN :
978-1-4244-6378-7
DOI :
10.1109/3DTV.2010.5506489