Foreground Object Segmentation from Dense Multi-view Images

摘要：

In order to extract foreground objects from dense multi-view images precisely and automatically, a level set evolution segmentation method without user interaction is proposed. Firstly, we make a statistical analysis of the straight lines in Epipolar Plane Image (EPI) and the EPl-lines corresponding to the foreground object are converted into original image space to get an initial contour. Then, we design a contour growing algorithm to shorten the gaps between broken edge segments and a morphological operation is utilized to obtain a closed exterior contour. Finally, a level set evolution without re-initialization is applied to drive the contour close to real object boundaries. Experimental results show that, our method can extract foreground objects from natural images more accurate and more effective than some user-assisted segmentation methods.

关键词： multi-view images Epipolar Plane Image object segmentation level set evolution

作者: Fan Liangzhong Yu Xin Shu Zhenyu

作者单位: Laboratory of Information and Optimization,Ningbo Institute of Technology,Zhejiang University,Ningbo China Zhejiang Provincial Key Laboratory of Information Network Technology Hangzhou,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 473-476

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）