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Published on: August 12, 2021
Stereoscopic video synthesis from a monocular video.
Guofeng Zhang1, Wei Hua, Xueying Qin
1State Key Lab of CAD & CG, Zhejiang University, Hangzhou, PR China. zhangguofeng@cad.zju.edu.cn
Summary
This study introduces an automatic method to create stereoscopic videos from monocular footage by directly using motion parallax. The technique optimizes frame selection for smooth, convincing 3D video synthesis without user input.
Area of Science:
- Computer Vision
- Image Processing
- Computer Graphics
Background:
- Monocular video is ubiquitous, but lacks depth information for stereoscopic viewing.
- Existing methods for stereoscopic video synthesis often require depth map estimation or user interaction.
Purpose of the Study:
- To develop an automatic and robust approach for synthesizing stereoscopic videos from monocular videos.
- To avoid explicit depth map recovery by leveraging motion parallax.
Main Methods:
- Formulating synthesis as an optimization problem with cost functions for stereoscopic effects, similarity, and smoothness.
- Selecting optimal frames from input monocular video for stereoscopic frame generation.
- Utilizing simple constant-depth warping for synthesis.
Main Results:
- Successfully synthesized convincing and smooth stereoscopic videos from ordinary monocular footage.
- Demonstrated visually plausible results with videos acquired by handheld cameras.
- Achieved synthesis without requiring user interaction.
Conclusions:
- The proposed method offers an effective way to generate stereoscopic video from monocular sources.
- The approach is robust and applicable to footage from commodity video cameras.
- Directly synthesizing parallax from motion parallax simplifies the stereoscopic video creation process.
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