Moscow State University: VQMT3D Project

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Visualization of a frame from The Avengers. It is clearly visible that the utilized background-reconstruction algorithm lacks quality.

As the blockbuster hit Gravity has shown us 2D to 3D conversion is finding a real place in the 3D landscape. When executed properly performing 3D conversion can create spectacular results. But, we have also seen spectacular failures. In an effort to create an assisting environment for professionals, the Moscow State University has started an research on S3D video quality assesment called “VQMT3D (Video Quality Measurement Tool 3D) Project.”

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Using a wide range of tests and tools, the team goes frame by frame for both the right and left channelsof the input S3D video. Below is a list of the released reports with the results of these tests:

The best part part about the study and testing is that  Videogroup of the Graphics & Media Lab from the Moscow State University collaborated with  respected stereographers from around the world, who commented on problems detected by their evaluation system. 3D is very much in the eye of the beholder. The human element is crucial and the perfect, ultimate tool.

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The project’s purpose is to analyze the stereo films and to investigate the potential reasons of the irritating annoyance, causing headache and eye-strain to the viewers. The Lab also planned to find inexpensive ways for automatical detecton of the stereo errors that occur in S3D films during the conversion process; these methods enable a better quality control, which is crucial for delivering the best experience for 3D viewers.

Image-4-alice-in-wonderland-3d-Example-of-the-cardboard-effectThe Lab’s aim is to help filmmakers produce high-quality 3D video by finding inexpensive ways of automatically enhancing film quality.

VQMT3D project is currently being developed.

List of Metrics

Developers of VQMT3D  project have implemented system capable of evaluating full-length S3D films by a number of metrics. The following metrics are implemented:

  • Horizontal disparity
  • Vertical disparity
  • Color mismatch
  • Sharpness mismatch

Metrics for converted stereoscopic video:

  • Edge-sharpness mismatch
  • Cardboard effect

 

 

 

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