Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Three-Frame Algorithm for Estimating Two-Component Image Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Pixel Dissimilarity Measure That Is Insensitive to Image Sampling
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video matting of complex scenes
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Gaze Manipulation for One-to-one Teleconferencing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Image-based rendering using image-based priors
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Estimating Disparity and Occlusions in Stereo Video Sequences
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Efficient Dense Stereo with Occlusions for New View-Synthesis by Four-State Dynamic Programming
International Journal of Computer Vision
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Image Communication
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International Journal of Computer Vision
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Bilayer representation for three dimensional visual communication
Journal of Visual Communication and Image Representation
Multiview segmentation and tracking of dynamic occluding layers
Image and Vision Computing
Efficient texture representation using multi-scale regions
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Unsupervised multiple object segmentation of multiview images
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Better foreground segmentation for 3D face reconstruction using graph cuts
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Multi-view video based multiple objects segmentation using graph cut and spatiotemporal projections
Journal of Visual Communication and Image Representation
Multi-layer stereo video matting: video matting
Proceedings of the international conference on Multimedia
Efficient foreground layer extraction in video
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Joint Multi-Layer Segmentation and Reconstruction for Free-Viewpoint Video Applications
International Journal of Computer Vision
Shortest path based planar graph cuts for bi-layer segmentation of binocular stereo video
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Particle Filtering with Region-based Matching for Tracking of Partially Occluded and Scaled Targets
SIAM Journal on Imaging Sciences
Multi-label Moves for MRFs with Truncated Convex Priors
International Journal of Computer Vision
On Learning Conditional Random Fields for Stereo
International Journal of Computer Vision
Bilayer segmentation augmented with future evidence
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
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This paper describes models and algorithms for the real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from color/contrast or from stereo alone is known to be error-prone. Here, color, contrast, and stereo matching information are fused to infer layers accurately and efficiently. The first algorithm, Layered Dynamic Programming (LDP), solves stereo in an extended six-state space that represents both foreground/background layers and occluded regions. The stereo-match likelihood is then fused with a contrast-sensitive color model that is learned on-the-fly and stereo disparities are obtained by dynamic programming. The second algorithm, Layered Graph Cut (LGC), does not directly solve stereo. Instead, the stereo match likelihood is marginalized over disparities to evaluate foreground and background hypotheses and then fused with a contrast-sensitive color model like the one used in LDP. Segmentation is solved efficiently by ternary graph cut. Both algorithms are evaluated with respect to ground truth data and found to have similar performance, substantially better than either stereo or color/contrast alone. However, their characteristics with respect to computational efficiency are rather different. The algorithms are demonstrated in the application of background substitution and shown to give good quality composite video output.