期刊文献+

Robust Wide Baseline Point Matching Based on Scale Invariant Feature Descriptor 被引量:6

基于SIFT的鲁棒的宽基线特征点匹配计算(英文)
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摘要 In order to obtain a large number of correct matches with high accuracy,this article proposes a robust wide baseline point matching method,which is based on Scott s proximity matrix and uses the scale invariant feature transform (SIFT). First,the distance between SIFT features is included in the equations of the proximity matrix to measure the similarity between two feature points; then the normalized cross correlation (NCC) used in Scott s method,which has been modified with adaptive scale and orientation,... In order to obtain a large number of correct matches with high accuracy,this article proposes a robust wide baseline point matching method,which is based on Scott s proximity matrix and uses the scale invariant feature transform (SIFT). First,the distance between SIFT features is included in the equations of the proximity matrix to measure the similarity between two feature points; then the normalized cross correlation (NCC) used in Scott s method,which has been modified with adaptive scale and orientation,...
出处 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2009年第1期70-74,共5页 中国航空学报(英文版)
基金 National High-tech Research and Development Program (2007AA01Z314) National Natural Science Foundation of China (60873085)
关键词 computer vision image analysis image match scale invariant feature descriptor computer vision image analysis image match scale invariant feature descriptor
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参考文献1

  • 1David G. Lowe. Distinctive Image Features from Scale-Invariant Keypoints[J] 2004,International Journal of Computer Vision(2):91~110

同被引文献51

  • 1董明利,王振华,祝连庆,孙雨南,吕乃光.基于RANSAC算法的立体视觉图像匹配方法[J].北京工业大学学报,2009,35(4):452-457. 被引量:10
  • 2汪华琴,谈国新,钱小红,朱海燕.一种基于曲率尺度空间的自适应角点检测方法[J].计算技术与自动化,2007,26(2):123-127. 被引量:10
  • 3D. G. Lowe. Distinctive image features from scale-invariant key points [ J ]. International Journal of Computer Vision, 2004, 60 (2) : 91-110.
  • 4Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool. SURF: Speeded Up Robust Features [ J ]. Computer Vision and Image Understanding, 2008, 110 (3) : 346-359.
  • 5J S Beis, D G. Lowe. Shape indexing using approximate nearest-neighbor search in high-dimensional spaces [ C ] //IEEE Computer Society Conference on Computer Vision and Pattern Recognition ( CVPR' 97 ), ( San Juan, Puerto Rico), 1997, 1000-1006.
  • 6D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree [ J ]. Computer Vision and Pattern Recognition, 2006, 2: 2161-2168.
  • 7王永明,王贵锦.图像局部不变特征与描述[M].北京:国防工业出版社,2010:53-56.
  • 8ZITOV:, B, FLISSER J, Image registration methods: A survey [ J ]. Image and Vision Computing,2003,21 ( 11 ) : 977-1000.
  • 9RATrARANGSI A, CHIN R T. Scale-based detection of comers of planar Curves [ J ]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1992, 14 4 ): 430 -449.
  • 10DAVID G L. Distinctive image features from seale-invari- ant keypoints [ J ]. International Journal of Computer Vi- sion,2004,60 (2) :91-110.

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