An Efficient Algorithm for Generating Harmonized Stereoscopic 360° VR Images

Providing realistic immersive experiences through virtual reality (VR) has become a major goal of video technology. Techniques to generate monocular VR images have been extended to the stereoscopic mode by adding the sense of depth. Research on the generation of stereoscopic VR images relies on eith...

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Bibliographic Details
Published inIEEE transactions on circuits and systems for video technology Vol. 31; no. 12; pp. 4864 - 4882
Main Authors Nam, Da-Yoon, Han, Jong-Ki
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
360° VR image
Algorithms
Cameras
Euler angles
Image stitching
immersive experience
Prediction algorithms
Solid modeling
Stereo image processing
stereoscopic VR image
Stereoscopy
stitching
Trajectory
Virtual reality
Visualization
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Summary:Providing realistic immersive experiences through virtual reality (VR) has become a major goal of video technology. Techniques to generate monocular VR images have been extended to the stereoscopic mode by adding the sense of depth. Research on the generation of stereoscopic VR images relies on either specialized equipment or general-purpose cameras. We propose an efficient algorithm to generate stereoscopic 360° VR images from pictures captured using affordable conventional cameras. To overcome the limited ability of conventional cameras to harmonize left and right VR images, we propose a model that represents the relation between left and right views using Euler angles. Experimental results show that the proposed algorithm provides better-harmonized images than other methods both qualitatively and quantitatively.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2021.3056065