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主动形状模型中的一种基于概率主成分分析的对应点搜索方法
引用本文:刘志军,张南.主动形状模型中的一种基于概率主成分分析的对应点搜索方法[J].舰船科学技术,2009,31(7):137-139.
作者姓名:刘志军  张南
作者单位:1. 华南理工大学电子与信息学院,广东,广州,510641;TCL集团工业研究院,广东,深圳,518067
2. 武汉第二船舶设计研究所,湖北,武汉,430064
摘    要:主动形状模型是一种以迭代的方式形变以匹配新图像中的目标实例的统计形状模型,它的关键是如何搜索形状模型标记点的对应点.本文提出一种新颖的采用概率主成分分析的主动形状模型的对应点搜索方法.该方法是一种基于灰度图像的对应点搜索算法,不需要对原图像进行边缘提取.在江面船舶目标的主动形状跟踪实验中,采用该方法能较准确地搜索到对应点.

关 键 词:主动形状  概率主成分分析  对应点  灰度图像  边缘提取

An algorithm for searching the correspondence points in the active shape models using the probabilistic principal component analysis
LIU Zhi-jun,ZHANG Nan.An algorithm for searching the correspondence points in the active shape models using the probabilistic principal component analysis[J].Ship Science and Technology,2009,31(7):137-139.
Authors:LIU Zhi-jun  ZHANG Nan
Institution:1.School of Electronics and Information Engineering;South China University of Technology;Guangzhou 510641;China;2.TCL Corporation Research;Shenzen 518067;3.The 719 Research Institute of CSIC;Wuhan 430064;China
Abstract:Active shape models(ASMs)are statistical models of the shapes of objects which iteratively deform to fit to an example of the object in a new image.The key of the ASMs is how to search the corresponding points of the landmarks in the ASMs.In this paper,a novel method based on Probabilistic Principal Component Analysis(PPCA)for the search of the corresponding points in the ASMs is presented.This approach is a kind of gray image-based method without the need for extracting the edge.Experimental results show t...
Keywords:active shape  probabilistic principal component analysis  corresponding points  grayimage  edge extraction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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