Title :
2D-to-3D conversion based on depth-from-motion
Author :
Huabing Wang ; Yingyun Yang ; La Zhang ; Yansi Yang ; Bo Liu
Author_Institution :
Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
Abstract :
With the development of computer vision technology, stereo video technology gets more and more popular. However, compared with the growing number of stereoscopic display devices, the 3D content for display is obviously insufficient. On the other hand, there exists tremendous amount of 2D video resources. As a result, the 2D to 3D video conversion becomes a common interest of both academic and industrial communities. This paper focuses on the characteristics of 2D to 3D technology, summarizes different transformation methods, and presents a semi-automatic depth extraction scheme from motion estimation. The experimental results show that this scheme can obtain 3D depth maps with relatively high quality.
Keywords :
computer vision; feature extraction; motion estimation; stereo image processing; three-dimensional displays; video signal processing; 2D to 3D video conversion; 2D video resources; computer vision technology; motion estimation; semiautomatic depth extraction scheme; stereo video technology; stereoscopic display devices; Cameras; Computer vision; Data mining; Motion estimation; Optical filters; Stereo image processing; Three dimensional displays; Fusion Algorithm; Mean Shift; Object Tracking; Particle Filter;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025855