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Most multi-camera vision applications assume a single common color response for all cameras. However different cameras - even of the same type - 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
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Ilie et al. (2005) studied this question.
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