| RUSSIAN |
Disparity and depth map generation
Monoscopic video to 3D
Project:
Dr. Dmitriy Vatolin
Implementation, algorithm:
Sergey Grishin,
Karen Simonyan,
Alexander Parshin,
Konstantin Strelnikov
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
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| Previous frame | Current frame |
to estimate disparity map or depth map:
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| Depth map vs current frame |
Also stereo pair or multiview 3D video can be generated using the depth map:
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| 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
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| Previous frame | Current frame |
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| Generated depth map vs current frame | Generated stereo pair |
Contacts
| For questions and proposition please contact us |  |
Server size: 8069 files, 1215Mb (Server statistics)
Project updated by
Server Team and
MSU Video Group
Project sponsored by YUVsoft Corp.
Project supported by MSU Graphics & Media Lab