Although there is a wide variety of lens distortion models, computing their parameters remains an open problem. To this end, we introduce a criterion that uses the null space of a matrix that arises from the estimation of the homography. We provide experimental results obtained from laboratory images of calibration patterns, apply our method to images taken in natural settings, study the effect of feature location, and compare it with other approaches. The results suggest that the method works best for cases where the full set of intrinsic or extrinsic camera parameters are not needed, the camera is no longer available, or the optical parameters change over the image sequence.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.