IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
- 29 February 2012
- journal article
- research article
- Published by Elsevier BV in Computer Vision and Image Understanding
- Vol. 116 (2), 274-291
- https://doi.org/10.1016/j.cviu.2011.10.003
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Synergistic arc-weight estimation for interactive image segmentation using graphsComputer Vision and Image Understanding, 2010
- Fast interactive segmentation of natural images using the image foresting transformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Links Between Image Segmentation Based on Optimum-Path Forest and Minimum Cut in GraphJournal of Mathematical Imaging and Vision, 2009
- Interactive Image Segmentation via Adaptive Weighted DistancesIEEE Transactions on Image Processing, 2007
- Image and Video Matting: A SurveyFoundations and Trends® in Computer Graphics and Vision, 2007
- Object trackingACM Computing Surveys, 2006
- Graph Cuts and Efficient N-D Image SegmentationInternational Journal of Computer Vision, 2006
- "GrabCut"ACM Transactions on Graphics, 2004
- The image foresting transform: theory, algorithms, and applicationsIeee Transactions On Pattern Analysis and Machine Intelligence, 2004
- An adaptive color-based particle filterImage and Vision Computing, 2003