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  Modified GrabCut for Human Face Segmentation

Khattab, D., Theobalt, C., Hussein, A. S., & Tolba, M. F. (2014). Modified GrabCut for Human Face Segmentation. Ain Shams Engineering Journal, 5(4), 1083-1091. doi:10.1016/j.asej.2014.04.012.

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Genre: Journal Article
Latex : Modified {GrabCut} for Human Face Segmentation

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 Creators:
Khattab, Dina1, Author           
Theobalt, Christian1, Author                 
Hussein, Ashraf S.2, Author
Tolba, Mohamed F.2, Author
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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Free keywords: Image segmentation
 Abstract: Abstract GrabCut is a segmentation technique for 2D still color images, which is mainly based on an iterative energy minimization. The energy function of the GrabCut optimization algorithm is based mainly on a probabilistic model for pixel color distribution. Therefore, GrabCut may introduce unacceptable results in the cases of low contrast between foreground and background colors. In this manner, this paper presents a modified GrabCut technique for the segmentation of human faces from images of full humans. The modified technique introduces a new face location model for the energy minimization function of the GrabCut, in addition to the existing color one. This location model considers the distance distribution of the pixels from the silhouette boundary of a fitted head, of a 3D morphable model, to the image. The experimental results of the modified GrabCut have demonstrated better segmentation robustness and accuracy compared to the original GrabCut for human face segmentation.

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Language(s): eng - English
 Dates: 20142014
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.asej.2014.04.012
BibTex Citekey: Khattab20141083
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Title: Ain Shams Engineering Journal
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 5 (4) Sequence Number: - Start / End Page: 1083 - 1091 Identifier: ISSN: 2090-4479