PPT-GrabCut
Author : alida-meadow | Published Date : 2016-04-22
Interactive Image and Stereo Segmentation Joon Jae Lee Keimyung University Characteristics Improved from graph cut Use Gaussian Mixture Model GMM for clustering
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "GrabCut" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
GrabCut: Transcript
Interactive Image and Stereo Segmentation Joon Jae Lee Keimyung University Characteristics Improved from graph cut Use Gaussian Mixture Model GMM for clustering in color space. GraphCut[BoykovandJolly2001;Greigetal.1989]isapow-erfuloptimisationtechniquethatcanbeusedinasettingsimilartoBayesMatting,includingtrimapsandprobabilisticcolourmod-els,toachieverobustsegmentationevenin for Binary Energies. Presenter: . Meng Tang. Joint work with. Ismail Ben . Ayed. Yuri Boykov. 1. / 27. Labeling Problems in Computer Vision. foreground selection. Geometric model fitting. Stereo. Semantic segmentation. . observed for . average association. . in [2]. We extend . Breiman’s. . . analysis [3] to continuous case. common adaptive kernels . (e.g. . KNN. ). . . eliminate such bias . (see paper) .
Download Document
Here is the link to download the presentation.
"GrabCut"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents
