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基于主成份分析的仿射不变特征图像匹配方法
  • ISSN号：1004-731X
  • 期刊名称：系统仿真学报
  • 时间：0
  • 页码：629-636
  • 语言：中文
  • 分类：TP391.4[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]上海交通大学图像处理与模式识别研究所,上海200240
  • 相关基金：基金项目;国家自然科学基金（60675023）
  • 相关项目：复杂场景下稳健视觉跟踪算法研究
作者： 杨杰|沈红斌|刘小军|刘惠|
关键词： 主成份分析, 尺度不变特征变换, 仿射不变特征, 图像匹配, principal components analysis, scale-invariant features transform, affine-invariant features, image matching
中文摘要：

从理论和实验上分析比较了尺度不变特征图像匹配方法和仿射不变特征图像匹配方法的异同，为提高图像匹配的速度和图像特征描述的准确性，提出了一种利用主成份分析时仿射不变特征匹配特征描述向量降雏的方法。实验结果表明该方法能加速仿射不变特征图像匹配方法，在不降低匹配效果的前提下，将128维特征向量降低至15维。

英文摘要：

A comparison of the Scale-Invariant Features Transform approach and Harris-Affine Invariant features approach was studied theoretically and experimentally. To improve the speed of image matching and accuracy of image features descriptors, an approach of reducing the dimensions of image matching features descriptors was proposed, which was applied to Harris-Affine region detectors based on Principal Components Analysis. Experimental results show that the method can accelerate the Harris-Affine Invariant features approach. On the premise of not degrading the matching effect, the method can reduce the dimensions of features vectors from 128 to 15.

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复杂场景下稳健视觉跟踪算法研究
期刊论文 60 会议论文 7 专利 3
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期刊信息
  • 《系统仿真学报》
  • 北大核心期刊（2011版）
  • 主管单位:中国航天科工集团公司
  • 主办单位:北京仿真中心 中国仿真学会
  • 主编：李伯虎
  • 地址：北京市海淀区永定路50号院
  • 邮编：100039
  • 邮箱：simu-xb@vip.sina.com
  • 电话：010-88527147
  • 国际标准刊号：ISSN：1004-731X
  • 国内统一刊号：ISSN：11-3092/V
  • 邮发代号:82-9
  • 获奖情况:
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,荷兰文摘与引文数据库,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）
  • 被引量:51729