首页> 外文会议>2010 20th International Conference on Pattern Recognition >Matching Image with Multiple Local Features
【24h】

Matching Image with Multiple Local Features

机译:匹配具有多个本地特征的图像

获取原文

摘要

In this paper, we present the fusional feature composed of Affine-SIFT, MSER and color moment invariants. The fusional feature is more robust and distinctive than a single local feature. Instead of adding three local features together simply, an efficient two-level matching strategy is devised with the fusional feature, which speeds up the establishment of the local correspondences. To remove partial false positives, an affine transformation is estimated with the weighted RANSAC which decreases iteration times. The experimental results show that our approach can achieve more accurate correspondence. We prospect to apply the fusional feature and match strategy to image retrieval in the end.
机译:在本文中,我们提出了由仿射SIFT,MSER和色矩不变量组成的融合特征。融合特征比单个局部特征更健壮和独特。与其简单地将三个局部特征相加,不如通过融合特征设计一种有效的两级匹配策略,从而加快了局部对应关系的建立。为了消除部分误报,可以使用加权的RANSAC估计仿射变换,从而减少迭代时间。实验结果表明,我们的方法可以实现更准确的对应。最后,我们期望将融合特征和匹配策略应用于图像检索。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号