Probabilistic matching of lines for their homography

Author

Kim, Taemin ; Woo, Jihwan ; Kweon, In So

Author_Institution

NASA Ames Res. Center, Moffett Field, CA, USA

fYear

2009

fDate

7-10 Nov. 2009

Firstpage

3489

Lastpage

3492

Abstract

A probabilistic matching of lines, which form a homography in two images, is formulated in the framework of the forward stepwise regression. A membership matrix represents the likelihood of line correspondences to the homography. The correspondence measure is borrowed from the forward stepwise regression so that the squared error of the homography and the number of correspondences are balanced simultaneously. An alternating scheme for optimizing the membership and homography is provided. The experimental results on synthetic and real images validate the proposed method.

Keywords

geometry; image matching; mean square error methods; probability; regression analysis; forward stepwise regression; homography; line correspondence; membership matrix; probabilistic lines matching; real image; squared error; synthetic image; Computer errors; Computer vision; Graph theory; Image registration; Image segmentation; NASA; Relaxation methods; Roads; Satellites; Space technology; Forward stepwise regression; Line correspondences; Membership and homography;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2009 16th IEEE International Conference on

Conference_Location

Cairo

ISSN

1522-4880

Print_ISBN

978-1-4244-5653-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2009.5414062

Filename

5414062