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  1. Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning (SMVC '10)
  2. GrabcutD: improved grabcut using depth information
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Next generation 3d video representation, processing and coding
A real-time performance system for virtual theater
Towards a spatio-temporal appearance model for human skin
Towards an expressive virtual tutor: an implementation of a virtual tutor based on an empirical study of non-verbal behaviour
Using virtual worlds for behaviour clustering-based analysis
Automatic 3d virtual cloning of a speaking human face
Virtual gazing in video surveillance
A virtual coaching environment for improving golf swing technique
Presentation of geo-referenced videos with google earth
GrabcutD: improved grabcut using depth information
A new approach to photography forensics using 3d analysis for correcting perception errors: a case study
3D reconstruction of indoor and outdoor building scenes from a single image
Building virtual worlds by 3d object mapping

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GrabcutD: improved grabcut using depth information

Content Provider ACM Digital Library
Author Izquierdo, Ebroul Aksay, Anil Vaiapury, Karthikeyan
Abstract Popular state of the art segmentation methods such as Grab cut include a matting technique to calculate the alpha values for boundaries of segmented regions. Conventional Grabcut relies only on color information to achieve segmentation. Recently, there have been attempts to improve Grabcut using motion in video sequences. However, in stereo or multi-view analysis, there is additional information that could be also used to improve segmentation. Clearly, depth based approaches bear the potential discriminative power of ascertaining whether the object is nearer of farer. In this work, we propose and evaluate a Grabcut segmentation technique based on combination of color and depth information. We show the usefulness of the approach when stereo information is available and evaluate it using standard datasets against state of the art results.
Starting Page 57
Ending Page 62
Page Count 6
File Format PDF
ISBN 9781450301756
DOI 10.1145/1878083.1878099
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Improved grabcut Segmentation Silhouette Depth
Content Type Text
Resource Type Article
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