DocumentCode
1948595
Title
Superpixel fats for fast foreground extraction
Author
Kang Liu ; Xuelong Li ; Yongsheng Dong
Author_Institution
Center for Opt. IMagery Anal. & Learning (OPTIMAL), Xi´an Inst. of Opt. & Precision Mech., Xi´an, China
fYear
2015
fDate
12-15 July 2015
Firstpage
132
Lastpage
136
Abstract
Fast foreground extraction is an important and challenging problem. Although GrabCut can perform well in foreground extraction, the average accuracy is not satisfactory, and more importantly, its computational cost is large. In this paper, we propose a fast interactive foreground extraction based on superpixel GrabCut and matting. Specifically, we use a superpixel method to process images in order to improve the efficiency of the GrabCut. To obtain a refined mask, we employ the Shared matting method whose trimaps are implemented by our constructed fast and adaptive trimaps (FATs). Experimental results demonstrate the proposed method is more competitive and effective in the visual sense, E-Time and MSE criterions.
Keywords
computer vision; feature extraction; graph theory; image segmentation; E-time; MSE criterion; computational cost; fast and adaptive trimap; fast foreground extraction; interactive foreground extraction; shared matting method; superpixel GrabCut; superpixel fat; superpixel method; Computer vision; Conferences; Fats; Feature extraction; Gravity; Image color analysis; Image segmentation; Computer vision; fast and adaptive trimaps; foreground extraction; image segmentation; superpixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/ChinaSIP.2015.7230377
Filename
7230377
Link To Document