Disparity and depth map generation.
Monoscopic video to 3D

This technology provides high quality depth map estimation for video. Our algorithm doesn’t require stereo content. Only information from single view video is used. Algorithm estimates motion in video sequence, generates disparity map and depth map. Similar technology can be used to convert stereo video to multiview 3D video.

Description

Algorithm uses spatial and temporal information from consecutive frames of monoscopic video

Previous frame Current frame
Previous frame Current frame

to estimate disparity map or depth map:

Depth map anв current frame
Depth map vs current frame

Also stereo pair or multiview 3D video can be generated using the depth map:

Stereo pair
Stereo pair

Higher quality of multiview 3D video and depth/disparity map is achieved when stereoscopic material is used as the source of conversion.

More examples

Previous frame Current frame
Previous frame Current frame
Depth map Stereo pair
Generated depth map vs current frame Generated stereo pair

Contacts

For questions and proposition please contact us

E-mail: 3dvideo@compression.ru

10 Mar 2011
See Also
Parallax range estimation in S3D video
Parallax determines the depth of S3D movies. The range of parallaxes should be both comfortable and entertaining for spectators.
MSU Video Group / Video data filtering and compession
VirtualDub MSU Logo Remover
The filter is intended to remove logo from films
MSU Stereo To Multiview 3D Video Conversion ( Glasses-free 3D-Displays Video Content creation)
Stereo to multiview video conversion algorithm for glasses-free autostereoscopic 3D displays
MSU Video Super-Resolution Filter
This filter increases resolution of video sequence while saving and improving details and reducing artifacts.
MSU Video Group / Video data filtering and compession
Site structure