Spatio-Temporal Grabcut human segmentation for face and pose recovery (original) (raw)
Related papers
GrabCut-Based Human Segmentation in Video Sequences
2012
Modified GrabCut for human face segmentation
2014
Humanising GrabCut: Learning to segment humans using the Kinect
2011
An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans
2007
Rithm for Human Video Segmentation
2016
A New Approach of Human Segmentation from Photo Images
Automated person segmentation in videos
Automatic people segmentation with a template-driven graph cut
2011 18th IEEE International Conference on Image Processing, 2011
Bayesian human segmentation in crowded situations
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts
International Journal of Computer …, 2008
Posecut: Simultaneous Segmentation and 3d Pose Estimation of Humans Using Dynamic Graph-Cuts
Computer VisionECCV 2006, 2006
Human segmentation from video by combining random walks with human shape prior adaption
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013
A Pose-Invariant Descriptor for Human Detection and Segmentation
2008
Detecting Probable Regions of Humans in Still Images Using Raw Edges
2009 International Conference on Knowledge and Systems Engineering, 2009
2008
E-GrabCut: an economic method of iterative video object extraction
Frontiers of Computer Science, 2017
Face and Hands Segmentation in Color Images and Initial Matching
2003
Human body motion segmentation in a complex scene
Pattern Recognition, 1987
Improved Head-Shoulder Human Contour Estimation through Clusters of Learned Shape Models
2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015
Active motion-based segmentation of human body outlines
Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects, 1994
A Methodology for Extracting Standing Human Bodies from Single Images
Human extraction from a sequence of depth images using segmentation and foreground detection
Proceedings of the Fifth Symposium on Information and Communication Technology - SoICT '14, 2014