MSU Device Testing - determination of the 3D devices’ characteristics: About the project

Table of contents

Introduction

The 3D devices become available to a large number of people over the past few years. The 3D technology gets more and more distributed and advertised. But still there are many problems for producer and advertisers. One of the problems with viewing high-quality 3D video is the problem with display devices (because even the best image can become a nightmare for a viewer if it is demonstrated on poor equipment)

Example problem
The example of the display problem. Stereo system, consisting of two projectors. The problem with one of the lamps.

Most of the 3D devices can not provide comfortable and high-quality displaying, and thus can both harm human health (cause eye fatigue, headaches, etc) and influence public opinion on the whole 3D video area. However, some problem of bad displaying can be diagnosed and corrected, thus making viewing more comfortable. The producer often do not fully provide the end user with information about the technical characteristics and real capabilities of their devices.

The goal and the tasks

How test works?

Prepared the test images system, which allows to determine many important characteristics of 3D device.

Checking the characteristics of the equipment is as follows:

  1. The test images are displaying on the tested equipment
  2. Taking pictures of the images obtained using the 3D device
  3. Computing the characteristics of the test equipment by means of the computer vision
  4. The results are entering into the database

    As a result - the world have become a little better!

18 Mar 2013
See Also
Call for HEVC codecs 2019
Fourteen modern video codec comparison
Automatic local color correction in S3D video
Stereo video may contain a huge color discrepancy. Most of the problems are hard to eliminate because of possible different distortions in each area in the frame.
Swapped views detection in S3D movies
Channel mismatch is one of the most painful-for-viewer problems in stereo 3D movies. This problem is very hard to detect and simply to eliminate: just swap the views.
Automatic sharpness mismatch detection and compensation in stereo
Algorithm works frame-wise: for a pair of source image's views it outputs whether it contains significant sharpness mismatch or no.
MSU 3D-video Quality Analysis (MSU Video Quality Measurement Tool 3D Project: VQMT3D)
MSU 3D-video Quality Analysis. Report 9
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