Ensuring Color Consistency across Multiple Cameras

Authors:
Adrian Ilie;Greg Welch
Affiliations:
University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill
Venue:
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Year:
2005

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Abstract

Most multi-camera vision applications assume a single common color response for all cameras. However different cameras 驴 even of the same type 驴 can exhibit radically different color responses, and the differences can cause significant errors in scene interpretation. To address this problem we have developed a robust system aimed at inter-camera color consistency. Our method consists of two phases: an iterative closed-loop calibration phase that searches for the per-camera hardware register settings that best balance linearity and dynamic range, followed by a refinement phase that computes the per-camera parametric values for an additional software-based color mapping.