TY - GEN
T1 - AI-based Stereoview to Multiview Generation by Using Deformable Convolution
AU - Hong, Wei Lun
AU - Yang, Jar Ferr
N1 - Funding Information:
ACKNOWLEDGEMENT This work was partially supported by the Ministry of Science and Technology under Grant MOST 109-2218-E-006-032 and Qualcomm, USA under Grant SOW#NAT-435536.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Three dimension (3D) movies are the main trend in the film industry. In the current stereoview, the audiences require wearing 3D glasses to perceive 3D visualization. The 3D movies with stereoview with only left and right views, which cannot be directly displayed in the naked-eyes 3D displays. To directly support naked-eyes 3D displays, which require multiple views, we propose a deep learning based stereo to multiview conversion system by using the deformable convolution to synthesize additional virtual views. For immersive 3D multimedia services, we hope we can improve the quality of user 3D experiences without wearing 3D glasses without the needs of depth estimation and depth image based rendering functions.
AB - Three dimension (3D) movies are the main trend in the film industry. In the current stereoview, the audiences require wearing 3D glasses to perceive 3D visualization. The 3D movies with stereoview with only left and right views, which cannot be directly displayed in the naked-eyes 3D displays. To directly support naked-eyes 3D displays, which require multiple views, we propose a deep learning based stereo to multiview conversion system by using the deformable convolution to synthesize additional virtual views. For immersive 3D multimedia services, we hope we can improve the quality of user 3D experiences without wearing 3D glasses without the needs of depth estimation and depth image based rendering functions.
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U2 - 10.1109/ISPACS51563.2021.9651052
DO - 10.1109/ISPACS51563.2021.9651052
M3 - Conference contribution
AN - SCOPUS:85124125865
T3 - ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding
BT - ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
Y2 - 16 November 2021 through 19 November 2021
ER -