Method of motion object recognition based on affine invariant

YANG Xin-mei; WU Qin-zhang; ZHOU Jin

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Method of motion object recognition based on affine invariant

更新时间：2020-08-12

- Method of motion object recognition based on affine invariant
- Optics and Precision Engineering Vol. 15, Issue 7, Pages: 1112-1116(2007)
- 作者机构：
  
  中国科学院光电技术研究所三室,四川成都 610209
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：16 October 2006，
  
  Revised：04 April 2007，
  
  Published Online：30 July 2007，
  
  Published：30 July 2007
- 稿件说明：
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YANG Xin-mei, WU Qin-zhang, ZHOU Jin. Method of motion object recognition based on affine invariant[J]. Optics and precision engineering, 2007, 15(7): 1112-1116.
DOI：

YANG Xin-mei, WU Qin-zhang, ZHOU Jin. Method of motion object recognition based on affine invariant[J]. Optics and precision engineering, 2007, 15(7): 1112-1116. DOI：

摘要

提出了一种在三维空间内对运动目标识别的方法

该方法对目标平移、旋转、尺度及视角变化具有良好的不变性。将目标轮廓曲线用仿射不变量参数化

待识别目标的参数化轮廓线正交投影后

可使其与库存同一型号的目标轮廓线保持较强的相关性。最后

用归一化相关函数作为识别准则进行了实验。实验结果表明

对于空间姿态变化前后的目标

它们的相关结果＞95％

该方法能够以较高的识别率识别出图像序列中各种变化的同一目标。

Abstract

A method characterized by its excellent invariability in translation

rotation

scale and angle of view for recognizing motion object in 3D space was presented. The contour curve of object was parameterized by an affine invariable and the parameterized curve of object waiting for recognition was projected orthogonally. So it could keep better correlation with the object of the same type in store. Finally

normalized related function was regarded as the criterion of recognition. The experimental results show that the correlation of objects is over 95% in the 3D's change of pose

the proposed method can recognize objects of multiform changes with superior discrimination rate.

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Related Institution

School of Electronic and Information Engineering, Lanzhou Jiaotong University

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