TY - GEN
T1 - Spatio-temporal adaptive 2D to 3D video conversion for 3DTV
AU - Liu, Longjun
AU - Ge, Chenyang
AU - Zheng, Nanning
AU - Li, Qianmin
AU - Yao, Huimin
PY - 2012
Y1 - 2012
N2 - This paper proposes an efficient scheme to automatically achieve the 2D to 3D video conversion, which exploits different algorithms based on the spatio-temporal relationship of image sequences. For the static sceneries, we directly use geometrical transformation to generate a pair eyes' frames; while for the motion ones, we firstly extract depth map of the frame, then use the depth image based rendering (DIBR) algorithm to render two viewpoints' frames. Experimental results show that the proposed method can achieve 2D to 3D conversion effectively and successfully.
AB - This paper proposes an efficient scheme to automatically achieve the 2D to 3D video conversion, which exploits different algorithms based on the spatio-temporal relationship of image sequences. For the static sceneries, we directly use geometrical transformation to generate a pair eyes' frames; while for the motion ones, we firstly extract depth map of the frame, then use the depth image based rendering (DIBR) algorithm to render two viewpoints' frames. Experimental results show that the proposed method can achieve 2D to 3D conversion effectively and successfully.
UR - https://www.scopus.com/pages/publications/84863342986
U2 - 10.1109/ICCE.2012.6161946
DO - 10.1109/ICCE.2012.6161946
M3 - 会议稿件
AN - SCOPUS:84863342986
SN - 9781457702310
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 465
EP - 466
BT - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Y2 - 13 January 2012 through 16 January 2012
ER -