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角点特征在目标识别中的应用
引用本文:曹健,刘琼昕,高春晓,刘玉树.角点特征在目标识别中的应用[J].北京理工大学学报,2011,31(3):308-312.
作者姓名:曹健  刘琼昕  高春晓  刘玉树
作者单位:北京工商大学计算机与信息工程学院;北京理工大学计算机学院;
基金项目:国家自然科学基金资助项目(60903071)
摘    要:针对在视点变化情况下进行目标识别这一问题,作者结合主分量变换提出了一种基于Hausdorff距离的目标匹配算法,该算法在噪声和遮挡下性能稳定,时间代价较小.作者还提出了一种具有平移、旋转、尺度不变性以及对噪声有抗干扰能力的角点特征构造方法,通过BP网络实现目标分类.与其他三种形状特征进行实验对比,结果证明该方法在视点发生变化时对目标的识别更为有效.

关 键 词:目标识别  角点  Hausdorff距离  特征提取
收稿时间:2009/11/12 0:00:00

Object Recognition with Corner-Based Feature
CAO Jian,LIU Qiong-xin,GAO Chun-xiao and LIU Yu-shu.Object Recognition with Corner-Based Feature[J].Journal of Beijing Institute of Technology(Natural Science Edition),2011,31(3):308-312.
Authors:CAO Jian  LIU Qiong-xin  GAO Chun-xiao and LIU Yu-shu
Affiliation:CAO Jian1,2,LIU Qiong-xin2,GAO Chun-xiao2,LIU Yu-shu2(1.College of Computer and Information Engineering,Beijing Technology and Business University,Beijing 100048,China,2.School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China)
Abstract:Object recognition with changes in 3D viewpoint is a hot spot currently in the domain of image pattern recognition.An algorithm for pattern matching based on Hausdorff distance is proposed in this paper.The principal components transformation is introduced to this algorithm and makes it stable,distinct and almost real time.Meanwhile,a method for extracting corner feature from images is proposed.The extracted feature is invariant to translation,rotation,scale change and is shown robust to addition of noise.F...
Keywords:object recognition  corner points  Hausdorff distance  feature extraction  
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