TY - GEN
T1 - A depth refinement algorithm for multi-view video synthesis
AU - Shih, Hsin Chia
AU - Hsiao, Hsu-Feng
PY - 2010
Y1 - 2010
N2 - With the recent progress of display, capture device, and coding technologies, multi-view video applications such as stereoscopic video, free viewpoint TV (FTV), and free viewpoint video (FVV) have been introduced to the world with growing interest. To achieve free navigation of such applications, depth information is required along with the video data. There have been many research activities in the area of depth estimation; however, it still poses us great challenge to estimate accurate depth map. In this paper, we propose a depth refinement algorithm for multi-view video synthesis. The proposed algorithm classifies the pixel-wise depth map into two categories, one is reliable and the other is unreliable, followed by the depth refinement algorithm for those pixels with unreliable depth values. Except for the depth refinement algorithm, we also propose a reliable weighted view interpolation algorithm. At last, the refined depth map is evaluated by the quality of the synthesized view.
AB - With the recent progress of display, capture device, and coding technologies, multi-view video applications such as stereoscopic video, free viewpoint TV (FTV), and free viewpoint video (FVV) have been introduced to the world with growing interest. To achieve free navigation of such applications, depth information is required along with the video data. There have been many research activities in the area of depth estimation; however, it still poses us great challenge to estimate accurate depth map. In this paper, we propose a depth refinement algorithm for multi-view video synthesis. The proposed algorithm classifies the pixel-wise depth map into two categories, one is reliable and the other is unreliable, followed by the depth refinement algorithm for those pixels with unreliable depth values. Except for the depth refinement algorithm, we also propose a reliable weighted view interpolation algorithm. At last, the refined depth map is evaluated by the quality of the synthesized view.
KW - Depth estimation
KW - FTV
KW - Multi-view
KW - View synthesis
UR - http://www.scopus.com/inward/record.url?scp=78049378364&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2010.5495023
DO - 10.1109/ICASSP.2010.5495023
M3 - Conference contribution
AN - SCOPUS:78049378364
SN - 9781424442966
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 742
EP - 745
BT - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Y2 - 14 March 2010 through 19 March 2010
ER -