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基于特征点匹配对平面相似度的图像拼接

周雪 曹爽 何香静 邹见效

电子科技大学学报2017,Vol.46Issue(6):877-882,6.
电子科技大学学报2017,Vol.46Issue(6):877-882,6.DOI:10.3969/j.issn.1001-0548.2017.05.015

基于特征点匹配对平面相似度的图像拼接

Image Stitching Based on the Planar Similarity Among Matching Pairs of Feature Points

周雪 1曹爽 1何香静 1邹见效1

作者信息

  • 1. 电子科技大学自动化工程学院 成都 611731
  • 折叠

摘要

Abstract

An image stitching method for two images with parallax taking at different viewpoints is proposed based on the planar similarity among matching pairs of feature points. This method makes use of the property that feature points belonging to the same plane often share the same transformation matrix. By defining the planar similarity measure between feature point pairs, the missed matching rate is effectively decreased, and the image registration accuracy is improved. Subsequently, we adopt a graph cut-based algorithm to obtain the optimal stitching line. Experimental results on several datasets have demonstrated that our method outperforms the current state-of-art methods with a better anti-parallax robustness.

关键词

特征点/图割/图像拼接/平面相似度

Key words

feature point/graph cut/image stitching/planar similarity

分类

信息技术与安全科学

引用本文复制引用

周雪,曹爽,何香静,邹见效..基于特征点匹配对平面相似度的图像拼接[J].电子科技大学学报,2017,46(6):877-882,6.

基金项目

国家自然科学基金(61472063) (61472063)

电子科技大学学报

OA北大核心CSCDCSTPCD

1001-0548

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