Detection of object boundary inconsistencies between 2D-3D conversion results and depth maps

Introduction

The creation of S3D movies by converting 2D captured footage requires the high-quality depth maps. In case of inaccurate depth maps’ usage during the conversion different types of artifacts can occur. Such artifacts can make the viewing experience significantly worse even if it appears only in the background.

Our method extracts information about motion in the scene and detects conversion-related discrepancies between motion strength and depth.

An example of a scene containing a defect found by the proposed method: the foreground object was merged with the background.

Example

Proposed method

Algorithm scheme

Algorithm scheme

The disparity map estimation step may be skipped if the original depth map is available.

Experiments

The algorithm was tested on 39 converted stereoscopic feature movies. As a result, 125 scenes with this artifact were found.

The number of scenes with notable artifacts found during the analysis of feature movies are illustrated below.

Number of scenes

The examples of detected scenes are listed below. In these scenes, foreground objects merge with the background.

Example

05 May 2020
See Also
MSU Video Upscalers Benchmark 2021
The most comprehensive comparison of video super resolution (VSR) algorithms by subjective quality
MSU 3D-video Quality Analysis. Report 12
MSU 3D-video Quality Analysis. Report 11
MSU 3D-video Quality Analysis. Report 10
Detection of stereo window violation
How to find objects that are present only in one view?
Depth continuity estimation in S3D video
How smooth is the depth transition between scenes?
Site structure