Homography estimation from planar contours in image sequence

Ming Zhai; Shan Fu; Zhongliang Jing

doi:10.1117/1.3364071

Abstract

Homography can be estimated from corresponding points, lines, or textures. But in some scenarios these features are not always available. As a supplement, the newly developed contour-based method is presented, which can be used to estimate the homography between any two planar contours of an image sequence. The proposed method improves the random sampling consensus (RANSAC) method into an iterative form. In the iterations, the random sample process of RANSAC is constrained by the previous iteration results. It reduces the blind sample process and ensures fast convergence speed. The experimental results demonstrate that the proposed method is effective.

Citation Download Citation

Ming Zhai, Ming Zhai, Shan Fu, Shan Fu, Zhongliang Jing, Zhongliang Jing, } "Homography estimation from planar contours in image sequence," Optical Engineering 49(3), 037202 (1 March 2010). https://doi.org/10.1117/1.3364071 . Submission:

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $20.00

Non-members: $25.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years