In the field of augmented reality, it is important to solve a geometric registration problem between real and virtual worlds.
To solve this problem, many kinds of image based online camera parameter estimation methods have been proposed. As one
of these methods, we have been proposed a feature landmark based camera parameter estimation method. In this method,
extrinsic camera parameters are estimated from corresponding landmarks and image features. Although the method can
work in large and complex environments, our previous method cannot work in real-time due to high computational cost
in matching process. Additionally, initial camera parameters for the first frame must be given manually. In this study,
we realize real-time and manual-initialization free camera parameter estimation based on feature landmark database. To
reduce the computational cost of the matching process, the number of matching candidates is reduced by using priorities
of landmarks that are determined from previously captured video sequences. Initial camera parameter for the first frame
is determined by a voting scheme for the target space using matching candidates. To demonstrate the effectiveness of
the proposed method, applications of landmark based real-time camera parameter estimation are demonstrated in outdoor
environments.
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.