Finding Point Correspondence Using Local Similarity and Global Constraint

Author

Chuang, Jen-Hui ; Kao, Jau-Hong ; Lin, Chien-Chou

Author_Institution

Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu

Volume

2

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

258

Lastpage

261

Abstract

Establishing feature point correspondences from a pair of stereo images or a long sequence of images is a very important research topic in computer vision. In this paper, an algorithm using local similarity and global constraint to obtain point correspondence is proposed. The point correspondences are obtained by comparing the color codes, computed by image gradients obtained as by-products from the corner detector, and spatial relationships among neighboring feature points

Keywords

computer vision; edge detection; feature extraction; image coding; image colour analysis; image sequences; stereo image processing; color codes; computer vision; corner detector; feature point correspondences; global constraint; image gradients; local similarity; long image sequence; spatial relationships; stereo images; Computer science; Computer vision; Data mining; Detectors; Feature extraction; Image analysis; Information science; Jacobian matrices; Layout; Stereo vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.278

Filename

1691976