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Image Segmentation

PORTRAIT SEGMENTATION BY DEEP REFINEMENT OF IMAGE MATTING


Portrait segmentation is becoming a hot topic nowadays.
In this paper we propose a novel framework to cope with
the high precision requirements that portrait segmentation
demands on boundary area by deep refinement of the
portrait matting. Our approach introduces three novel
techniques. First, a trimap is proposed by fusing information
coming from two well-known techniques for image
segmentation, i.e., Mask R-CNN and DensePose. Second,
an alpha matting algorithm runs over the previous trimap

Paper Details

Authors:
Carlos Orrite, Miguel Angel Varona, Eduardo Estopiñán, José Ramón Beltrán
Submitted On:
17 September 2019 - 6:00am
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poster paper code 2790

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[1] Carlos Orrite, Miguel Angel Varona, Eduardo Estopiñán, José Ramón Beltrán, "PORTRAIT SEGMENTATION BY DEEP REFINEMENT OF IMAGE MATTING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4658. Accessed: Nov. 17, 2019.
@article{4658-19,
url = {http://sigport.org/4658},
author = {Carlos Orrite; Miguel Angel Varona; Eduardo Estopiñán; José Ramón Beltrán },
publisher = {IEEE SigPort},
title = {PORTRAIT SEGMENTATION BY DEEP REFINEMENT OF IMAGE MATTING},
year = {2019} }
TY - EJOUR
T1 - PORTRAIT SEGMENTATION BY DEEP REFINEMENT OF IMAGE MATTING
AU - Carlos Orrite; Miguel Angel Varona; Eduardo Estopiñán; José Ramón Beltrán
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4658
ER -
Carlos Orrite, Miguel Angel Varona, Eduardo Estopiñán, José Ramón Beltrán. (2019). PORTRAIT SEGMENTATION BY DEEP REFINEMENT OF IMAGE MATTING. IEEE SigPort. http://sigport.org/4658
Carlos Orrite, Miguel Angel Varona, Eduardo Estopiñán, José Ramón Beltrán, 2019. PORTRAIT SEGMENTATION BY DEEP REFINEMENT OF IMAGE MATTING. Available at: http://sigport.org/4658.
Carlos Orrite, Miguel Angel Varona, Eduardo Estopiñán, José Ramón Beltrán. (2019). "PORTRAIT SEGMENTATION BY DEEP REFINEMENT OF IMAGE MATTING." Web.
1. Carlos Orrite, Miguel Angel Varona, Eduardo Estopiñán, José Ramón Beltrán. PORTRAIT SEGMENTATION BY DEEP REFINEMENT OF IMAGE MATTING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4658

IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Slides)


We target at solving the problem of automatic image segmentation. Although 1D contour and 2D surface cues have been widely utilized in existing work, 3D depth information of an image, a necessary cue according to human visual perception, is however overlooked in automatic image segmentation. In this paper, we study how to fully utilize 1D contour, 2D surface, and 3D depth cues for image segmentation. First, three elementary segmentation modules are developed for these cues respectively.

Paper Details

Authors:
Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo
Submitted On:
16 September 2017 - 1:44am
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[1] Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo, " IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Slides)", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2176. Accessed: Nov. 17, 2019.
@article{2176-17,
url = {http://sigport.org/2176},
author = {Chen Chen; Jian Li; Changhu Wang; C.-C. Jay Kuo },
publisher = {IEEE SigPort},
title = { IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Slides)},
year = {2017} }
TY - EJOUR
T1 - IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Slides)
AU - Chen Chen; Jian Li; Changhu Wang; C.-C. Jay Kuo
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2176
ER -
Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo. (2017). IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Slides). IEEE SigPort. http://sigport.org/2176
Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo, 2017. IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Slides). Available at: http://sigport.org/2176.
Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo. (2017). " IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Slides)." Web.
1. Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo. IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Slides) [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2176

IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Poster)


We target at solving the problem of automatic image segmentation. Although 1D contour and 2D surface cues have been widely utilized in existing work, 3D depth information of an image, a necessary cue according to human visual perception, is however overlooked in automatic image segmentation. In this paper, we study how to fully utilize 1D contour, 2D surface, and 3D depth cues for image segmentation. First, three elementary segmentation modules are developed for these cues respectively.

Paper Details

Authors:
Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo
Submitted On:
16 September 2017 - 1:45am
Short Link:
Type:
Event:
Document Year:
Cite

Document Files

2405_poster

(244)

Keywords

Additional Categories

Subscribe

[1] Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo, " IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Poster)", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2175. Accessed: Nov. 17, 2019.
@article{2175-17,
url = {http://sigport.org/2175},
author = {Chen Chen; Jian Li; Changhu Wang; C.-C. Jay Kuo },
publisher = {IEEE SigPort},
title = { IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Poster)},
year = {2017} }
TY - EJOUR
T1 - IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Poster)
AU - Chen Chen; Jian Li; Changhu Wang; C.-C. Jay Kuo
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2175
ER -
Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo. (2017). IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Poster). IEEE SigPort. http://sigport.org/2175
Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo, 2017. IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Poster). Available at: http://sigport.org/2175.
Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo. (2017). " IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Poster)." Web.
1. Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo. IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES (Poster) [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2175