标题:Active learning based automatic face segmentation for kinect video
作者:Zhang, Jixia ;Wang, Haibo ;Liu, Shaoguo ;Davoine, Franck ;Pan, Chunhong ;Xiang, Shiming
作者机构:[Zhang, Jixia ;Liu, Shaoguo ;Pan, Chunhong ;Xiang, Shiming ] National Laboratory of Pattern Recognition, CASIA, China;[Davoine, Franck ] National Labo 更多
会议名称:2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
会议日期:26 May 2013 through 31 May 2013
来源:ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
出版年:2013
页码:1816-1820
DOI:10.1109/ICASSP.2013.6637966
摘要:This paper presents a novel segmentation approach for extracting faces from videos. Under an active learning framework, the segmentation is conducted automatically without human interactions. A small portion of pixels are first labeled as face or non-face. Given these labeled samples, a semi-supervised spline regression model is then applied to obtain the face region. Based on the segmentation result, new pixels are selected and labeled. These two steps perform iterately until convergence. The main novelty is that color and depth data are combined to provide the labeling information. Our approach is validated via comparisons with state-of-the-art methods on real videos captured from the commodity Kinect camera. © 2013 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890478121&doi=10.1109%2fICASSP.2013.6637966&partnerID=40&md5=ee3055c8329f1d290044883b7280bb35
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