Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Joint Disparity and Motion Field Estimation in Stereoscopic Image Sequences
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
SMBV '01 Proceedings of the IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV'01)
The emerging MVC standard for 3D video services
EURASIP Journal on Applied Signal Processing - 3DTV: Capture, Transmission, and Display of 3D Video
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
A convex optimization approach for depth estimation under illumination variation
IEEE Transactions on Image Processing
A block-iterative surrogate constraint splitting method for quadratic signal recovery
IEEE Transactions on Signal Processing
Image restoration subject to a total variation constraint
IEEE Transactions on Image Processing
Journal of Visual Communication and Image Representation
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The multiview video coding (MVC) extension of H.264/MPEG-4 AVC [1] is one of the most promising visual encoders for three-dimensional television and free viewpoint video applications. In this paper, we propose a joint dense motion/disparity estimation algorithm, designed to replace the classical temporal/inter-view unit within MVC, which uses a block-based motion/disparity estimation. The motion vector fields and the disparity vector fields are therefore simultaneously derived using the stereo-motion consistency constraint in a set theoretic convex optimization framework. The obtained displacement vector fields are then jointly segmented by minimizing a rate-distortion cost function, in line with the multiple reference frame strategy used in H.264/MPEG-4 AVC. Experimental results demonstrate the benefits of the proposed method compared to the separated dense estimation scheme or the block-based estimation technique.