For the latest computer vision applications, it becomes more and more popular to take advantage of multichannel
cameras (RGB cameras, etc.) to obtain not only gray values but also color information of pixels. The currently
most common approach for multichannel camera calibration is the straightforward application of methods developed
for calibration of single channel cameras. These conventional calibration methods may give quite poor
performances including color fringes and displacement of features, especially for high-resolution multichannel
cameras. In order to suppress the undesired effects, a novel multichannel camera calibration approach is introduced
and evaluated in this paper. This approach considers each single channel individually and involves
different transversal chromatic aberration models. In comparison to the standard approach, the proposed approach
provides more accurate calibration results in most cases and should lead subsequently to more reliable
estimation results for computer vision issues. Moreover, besides the existing transversal chromatic aberration
(TCA) model, further TCA models and correction methods are introduced which are superior to the existing
ones. Since the proposed approach is based on the most popular calibration routine, only minimal modifications
have to be made to the existing approaches to obtain the improved calibration quality.
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.