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.

Date Published: 4 February 2013
PDF: 9 pages
Proc. SPIE 8660, Digital Photography IX, 866002 (4 February 2013); doi: 10.1117/12.2001658

Published in SPIE Proceedings Vol. 8660:
Digital Photography IX
Nitin Sampat; Sebastiano Battiato, Editor(s)