Digital Image Processing
A Novel Approach to Depth Image Based Rendering Based on Non-Uniform Scaling of Depth Values
FGCNS '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking Symposia - Volume 03
Nonlinear disparity mapping for stereoscopic 3D
ACM SIGGRAPH 2010 papers
ACM SIGGRAPH Asia 2010 papers
Object stereo -- Joint stereo matching and object segmentation
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Contrast enhancement using brightness preserving bi-histogram equalization
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
Adaptive image contrast enhancement using generalizations of histogram equalization
IEEE Transactions on Image Processing
Content-Aware Display Adaptation and Interactive Editing for Stereoscopic Images
IEEE Transactions on Multimedia
Perspective-aware warping for seamless stereoscopic image cloning
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Enabling warping on stereoscopic images
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Depth Mapping for Stereoscopic Videos
International Journal of Computer Vision
StereoPasting: Interactive Composition in Stereoscopic Images
IEEE Transactions on Visualization and Computer Graphics
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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.