Patch-wise skin segmentation of human body parts via deep neural networks

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	Patch-wise skin segmentation of human body parts via deep neural networks
	Tao Xu; Zhaoxiang Zhang; Yunhong Wang
发表期刊	Journal of Electronic Imaging
	2015-08-10
卷号	24 期号:4 页码:1-13
摘要	In human-centric technologies, skin segmentation of body parts is a prerequisite for high-level processing. The traditional method of skin detection is pixel-wise detection coupled with morphological operations. Pixel-wise methods usually generate a number of false samples and outlier skin pixels, which can make it difficult for morphological operations to provide satisfactory results in complex scenarios. Furthermore, in many cases only a coarse region is required (e.g., the bounding-box of the face) rather than detailed pixel-wise labeling. A patch-wise skin segmentation method is proposed based on deep neural networks. Our method treats image patches as processing units instead of pixels, which directly exploits the spatial information of pixels in the detection stage rather than using morphological operations on isolated pixels after detection. An image patch dataset is built and deep skin models (DSMs) are trained based on the new dataset. Trained DSMs are then integrated into a sliding window framework to segment skin regions of the human body parts. Experiments on standard benchmarks demonstrate that DSMs provide more explicit skin region of interest candidates than pixel-wise methods in complex scenarios, and achieve competitive performance on pixel-wise skin detection.
关键词	Image Segmentation Skin
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13213
专题	智能感知与计算研究中心
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Tao Xu,Zhaoxiang Zhang,Yunhong Wang. Patch-wise skin segmentation of human body parts via deep neural networks[J]. Journal of Electronic Imaging,2015,24(4):1-13.
APA	Tao Xu,Zhaoxiang Zhang,&Yunhong Wang.(2015).Patch-wise skin segmentation of human body parts via deep neural networks.Journal of Electronic Imaging,24(4),1-13.
MLA	Tao Xu,et al."Patch-wise skin segmentation of human body parts via deep neural networks".Journal of Electronic Imaging 24.4(2015):1-13.