Point-pattern matching method using SURF and Shape Context

被引：37

作者：

Gui, Yang ^{[1
,2
]}

Su, Ang ^{[1
,2
]}

Du, Jing ^{[1
,2
]}

机构：

[1] Natl Univ Def Technol, Coll Aerosp & Mat Engn, Dept Mil Aerosp, Changsha 410073, Hunan, Peoples R China

[2] Hunan Key Lab Image Measurement & Vis Nav, Changsha 410073, Hunan, Peoples R China

来源：

OPTIK | 2013年 / 124卷 / 14期

基金：

美国国家科学基金会;

关键词：

SURF; Shape Context; Point-pattern matching; Bidirectional matching; Incorrect matching;

D O I：

10.1016/j.ijleo.2012.05.037

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Point-pattern matching is an important topic in the fields of computer vision and pattern recognition. We present a novel point-pattern matching method based on Speeded Up Robust Feature (SURF) and Shape Context to increase the matching accuracy. In the original point-pattern matching method using SURF algorithm, incorrect matching point pairs are likely to be produced and are difficult to be eliminated only by using information of image regions around the feature points. In the proposed method, firstly, SURF bidirectional matching method is applied to match the feature points in two images preliminarily. Then Shape Context descriptors are calculated for the feature points so that the information of relative positions among the feature points can be integrated in this way. Finally, incorrect matching point pairs can be eliminated gradually by an iteration method. Experiment results show that the proposed method can eliminate incorrect matching point pairs effectively and increase the accuracy of point-pattern matching. (C) 2012 Elsevier GmbH. All rights reserved.

引用

页码：1869 / 1873

页数：5

共 20 条

[1]

[Anonymous], P C CVPR

[2] SURF: Speeded up robust features [J].

Bay, Herbert ;

Tuytelaars, Tinne ;

Van Gool, Luc .

COMPUTER VISION - ECCV 2006 , PT 1, PROCEEDINGS, 2006, 3951 :404-417

[3] Shape matching and object recognition using shape contexts [J].

Belongie, S ;

Malik, J ;

Puzicha, J .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2002, 24 (04) :509-522

[4]

Belongie S, 2001, EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL I, PROCEEDINGS, P454, DOI 10.1109/ICCV.2001.937552

[5] SVD-matching using SIFT features [J].

Delponte, Elisabetta ;

Isgro, Francesco ;

Odone, Francesca ;

Verri, Alessandro .

GRAPHICAL MODELS, 2006, 68 (5-6) :415-431

[6] Combining color and shape information for illumination-viewpoint invariant object recognition [J].

Diplaros, A ;

Gevers, T ;

Patras, I .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (01) :1-11

[7]

Guo Y, 2007, PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, P181

[8]

Knopp J, 2010, LECT NOTES COMPUT SC, V6316, P589, DOI 10.1007/978-3-642-15567-3_43

[9]

LEDWICH L, 2004, AUSTR C ROB AUT CANB

[10]

Lowe D. G., 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision, P1150, DOI 10.1109/ICCV.1999.790410

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