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 :
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