Title
Depth manipulation using disparity histogram analysis for stereoscopic 3D
Abstract
The importance of post-production for stereoscopic 3D is increasing rapidly. In particular, depth manipulation is essential, as there are many situations in which the captured depth requires further adjustment. Nonlinear disparity mapping has been a popular choice for efficient depth manipulation. However, most existing work requires users to have a deep understanding of how stereo works. This paper proposes a novel and very intuitive-to-use nonlinear disparity mapping technique. A聽commonly used multirigging technique inspired this work. Specifically, our method creates multiple depth layers using the Gaussian Mixture Model (GMM) and a histogram analysis. The depth position and volume are then manipulated with simple parameters at each layer individually, achieving complex nonlinearity in terms of depth control. The employed optimization scheme ensures the preservation of the original depth order. A聽user study shows that our method is very easy to use and simple to control. We demonstrate the versatility of our method with various practical applications.
Year
DOI
Venue
2014
10.1007/s00371-013-0868-3
The Visual Computer
Keywords
Field
DocType
Stereoscopic 3D, Depth manipulation, Disparity retargeting, Depth editing
Computer vision,Histogram,Nonlinear system,Equalization (audio),Computer science,Stereoscopy,Artificial intelligence,Mixture model
Journal
Volume
Issue
ISSN
30
4
1432-2315
Citations 
PageRank 
References 
8
0.46
14
Authors
6
Name
Order
Citations
PageRank
Sangwoo Lee15315.00
Younghui Kim2587.55
jungjin lee3303.05
Kyehyun Kim41238.29
Kyunghan Lee5151.83
Jun-yong Noh638427.22