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

Previous frame	Current frame

to estimate disparity map or depth map:

Depth map vs current frame

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

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

Generated depth map vs current frame	Generated stereo pair

Contacts

For questions and proposition please contact us

E-mail: 3dvideo@compression.ru