| 多视点图像的前景对象自动分割方法 |
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| 引用本文： | 范良忠,蒋刚毅,郁梅.多视点图像的前景对象自动分割方法[J].计算机辅助设计与图形学学报,2009,21(9). |
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| 作者姓名： | 范良忠 蒋刚毅 郁梅 |
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| 作者单位： | 1. 浙江大学宁波理工学院信息处理与优化技术研究所,宁波,315100
2. 宁波大学电路与系统研究所,宁波,315211 |
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| 基金项目： | 国家自然科学基金，教育部新世纪人才支持计划项目，宁波市自然科学基金 |
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| 摘 要： | 为了将前景对象从多视点图像中自动地分割出来,提出一种基于多视点图像特征分析的对象提取方法.首先采用改进的随机Hough变换提取极线平面图中的直线,并对已检测直线的斜率进行统计分析;然后根据对象在场景中所处的深度,将对应斜率的直线转换到原始图像空间中得到初始轮廓;并利用边缘生长方法缩短断开边缘的间距;最后采用边缘连接方法获得闭合的轮廓曲线.实验结果表明,与基于水平集的主动轮廓模型分割方法相比,文中方法能更加快速、精确地将对象从复杂场景中分割出来.
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| 关 键 词： | 多视点图像 极线平面图 对象分割 边缘生长 边缘连接 |
Automatic Foreground Object Segmentation from Multi-View Images |
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| Fan Liangzhong,Jiang Gangyi,Yu Mei.Automatic Foreground Object Segmentation from Multi-View Images[J].Journal of Computer-Aided Design & Computer Graphics,2009,21(9). |
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| Authors: | Fan Liangzhong Jiang Gangyi Yu Mei |
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| Affiliation: | Laboratory of Information and Optimization Technologies;Ningbo Institute of Technology;Zhejiang University;Ningbo 315100;Institute of Circuits and Systems;Ningbo University;Ningbo 315211 |
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| Abstract: | In order to segment foreground objects from multi-view images automatically,an object extraction algorithm is proposed from multi-view images. Firstly,straight lines in epipolar plane image (EPI) are detected by an improved randomized Hough transform,and followed by a statistical analysis of the slopes of EPI lines. Then,according to the depth of the object under segmentation,the corresponding EPI lines are mapped back to the original image space to get an initial contour. After that,an edge growing method ... |
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| Keywords: | multi-view images epipolar plane image object segmentation edge growing edge linking |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
