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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
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  

Video resources:

Call for MPEG4-AVC/H.264 codecs 2012

Public MSU video filters
Here are available VirtualDub and AviSynth filters. For a given type of digital video filtration we typically develop a family of different algorithms and implementations. Generally there are also versions optimized for PC and hardware implementations (ASIC/FPGA/DSP). These optimized versions can be licensed to companies. Please contact us for details via video(at)graphics.cs.msu_ru.
MSU/YUVsoft filters for companies
We are working with Intel, Samsung, RealNetworks and other companies on adapting our filters other video processing algorithms for specific video streams, applications and hardware like TV-sets, graphics cards, etc. Some of such projects are non-exclusive. Also we have internal researches. Please let us know via video(at)graphics.cs.msu_ru if you are interested in acquiring a license for such filters or making a custom R&D project on video processing, compression, computer vision.
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Call for MPEG4-AVC/H.264 codecs 2012
Ext. link: x264 parameters efficiency comparison
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Last updated: 10-March-2011

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Project updated by
Server Team and MSU Video Group


Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab

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