TY - GEN
T1 - Viewpoint-predicting-based remote rendering on mobile devices using multiple depth images
AU - Wang, Xiaochuan
AU - Liang, Xiaohui
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/5/9
Y1 - 2016/5/9
N2 - In order to break through the constraint of mobile hardware resource and wireless network bandwidth, a viewpoint-predicting-based remote rendering on mobile devices using multiple depth images is proposed. First, a reference viewpoint selection mechanism is given based on user interactions at present, and then guide the generation of corresponding depth images. Secondly, an edge based depth map reconstruction method is brought into encoding and decoding in order to furthermore improve rendering efficiency meanwhile reduce total transmit data on the network. Final synthesis result is produced with the received multiple depth images using 3D image warping. The experimental results show that it not only rises the rendering quality but also reduces the quantity of transmit data, hence meets the requirement of real-time interaction on mobile devices.
AB - In order to break through the constraint of mobile hardware resource and wireless network bandwidth, a viewpoint-predicting-based remote rendering on mobile devices using multiple depth images is proposed. First, a reference viewpoint selection mechanism is given based on user interactions at present, and then guide the generation of corresponding depth images. Secondly, an edge based depth map reconstruction method is brought into encoding and decoding in order to furthermore improve rendering efficiency meanwhile reduce total transmit data on the network. Final synthesis result is produced with the received multiple depth images using 3D image warping. The experimental results show that it not only rises the rendering quality but also reduces the quantity of transmit data, hence meets the requirement of real-time interaction on mobile devices.
KW - 3D image warping
KW - Depth map reconstruction
KW - Mobile remote rendering
KW - Multiple depth images
KW - Viewpoint predicting
UR - https://www.scopus.com/pages/publications/84978518026
U2 - 10.1109/ICVRV.2015.23
DO - 10.1109/ICVRV.2015.23
M3 - 会议稿件
AN - SCOPUS:84978518026
T3 - Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015
SP - 216
EP - 223
BT - Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015
A2 - Zhou, Zhong
A2 - Meng, Weiliang
A2 - Yao, Junfeng
A2 - Zhang, Xiaopeng
A2 - Luo, Xun
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Virtual Reality and Visualization, ICVRV 2015
Y2 - 17 October 2015 through 18 October 2015
ER -