SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Video matting of complex scenes
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Multiclass Spectral Clustering
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
ACM SIGGRAPH 2004 Papers
Effective Gaussian Mixture Learning for Video Background Subtraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
An Iterative Optimization Approach for Unified Image Segmentation and Matting
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Bilayer Segmentation of Live Video
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Probabilistic Fusion of Stereo with Color and Contrast for Bilayer Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Soft scissors: an interactive tool for realtime high quality matting
ACM SIGGRAPH 2007 papers
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
International Journal of Computer Vision
A Closed-Form Solution to Natural Image Matting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image and video matting: a survey
Foundations and Trends® in Computer Graphics and Vision
Video SnapCut: robust video object cutout using localized classifiers
ACM SIGGRAPH 2009 papers
| Hi-index | 0.00 |
In this paper, an unsupervised scheme for stereo video matting is presented, where stereo motion analysis is combined to provide an automatic multi-layer clustering scheme of alpha components. With this multi-layer matting scheme, objects in both foreground and background can be extracted for background substitution. The experiment shows that the proposed scheme can have a better performance in term of automatic grouping of alpha components in comparison with min-cut matte grouping.