Difference between revisions of "2D to 3D Video Conversion"
| Line 11: | Line 11: | ||
<center> | <center> | ||
{| border="0" | {| border="0" | ||
| − | |[[Image:Overview_N.png|center|The proposed 2D-to-3D conversion system| | + | |[[Image:Overview_N.png|center|The proposed 2D-to-3D conversion system|200px]] |
|- | |- | ||
|align="center" width="200pt"|The proposed conversion system | |align="center" width="200pt"|The proposed conversion system | ||
Revision as of 18:06, 7 November 2016
People
- Kiana Calagari
- Mohamed Hefeeda
Abstract
A wide spread adoption of 3D displays is hindered by the lack of content that matches the user expectations. Producing 3D videos is far more costly and time-consuming than regular 2D videos, which makes it challenging and thus rarely attempted, especially for live events, such as soccer games. In this project we develop a high-quality automated 2D-to-3D conversion method for soccer videos. Our method is data driven, relying on a reference database of 3D videos. Our key insight is that we use computer generated depth from current computer sports games for creating a synthetic 3D database.
Details
 |
| The proposed conversion system |
Publications
K. Calagari, M. Elgharib, P. Didyk, A. Kaspar, W. Matusik, and M. Hefeeda, “Gradient-based 2D-to-3D Conversion for Soccer Videos”, In Proc. of the ACM Multimedia (MM’15), p 331-340, 2015.
