Abstract

3D movies have received more and more attention in recent years. However, the investment in making 3D movies is high and difficult, which restricts its development. And there are many existing 2D movie resources, and how to convert it into 3D movies is also a problem. Therefore, this paper proposes a 3D video conversion system based on depth information extraction. The system consists of four parts: segmentation of movie video frame sequences, extraction of frame image depth information, generation of virtual multi-viewpoint and synthesis of 3D video. The system can effectively extract the depth information of the movie and by it finally convert a 2D movie into a 3D movie.

Highlights

  • In recent years, 3D movies have developed rapidly

  • The system consists of four parts: segmentation of movie video frame sequences, extraction of frame image depth information, generation of virtual multi-viewpoint and synthesis of 3D video

  • This paper proposes a 3D video conversion system based on depth information extraction

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Summary

Introduction

3D movies have developed rapidly. The release of "Avatar" has made 3D movies come alive. 2D movies can create an environment of experience with the plot, and bring the viewer corresponding touch. There are abundant 2D movie resources on the market, and converting 2D video into 3D video provides us with new ideas for making 3D movies. Depth information perception is the premise of human stereo vision. The system consists of four parts: segmentation of movie video frame sequences, extraction of frame image depth information, generation of virtual multi-viewpoint and synthesis of 3D video. The system can effectively extract the depth information of a film, and through the above steps, converting into a 3D movie.

Related work
Overview
Depth information extraction
Image frames acquirement
Network prediction
Scale-Invariant loss
Model training
The output of depth map
Multi-viewpoint generation
Interface design
Conclusion
Full Text
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