A novel 2D shape matching algorithm based on B-spline modeling

Author

Wang, Yue ; Teoh, Earn Khwang

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore

Volume

1

fYear

2004

fDate

24-27 Oct. 2004

Firstpage

409

Abstract

This paper presents a novel algorithm for 2D planar curve recognition based on B-spline modeling. It combines the advantages of the B-spline which are continuous curve representation and affine invariant, and the robustness of the CSS (curvature scale space) matching with respect to noise and affine transformation. It solves the problem of the nonuniqueness of the B-spline in curve matching. A new algorithm, which contains degree increase and reduction, is proposed for smoothing the B-spline and constructing the CSS image. The proposed algorithm has been tested and good performance has been obtained.

Keywords

image matching; image reconstruction; image representation; splines (mathematics); 2D shape matching algorithm; B-spline modeling; B-spline nonuniqueness; CSS image construction; affine invariant matching; affine transformation; continuous curve representation; curvature scale space image; degree increase; degree reduction; object matching; planar curve recognition; spline smoothing; Application software; Cascading style sheets; Image generation; Image processing; Noise robustness; Noise shaping; Shape; Smoothing methods; Spline; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2004. ICIP '04. 2004 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-8554-3

Type

conf

DOI

10.1109/ICIP.2004.1418777

Filename

1418777