Ensuring Color Consistency Across Multiple Cameras
Abstract
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
Cite
Text
Ilie and Welch. "Ensuring Color Consistency Across Multiple Cameras." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.88Markdown
[Ilie and Welch. "Ensuring Color Consistency Across Multiple Cameras." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/ilie2005iccv-ensuring/) doi:10.1109/ICCV.2005.88BibTeX
@inproceedings{ilie2005iccv-ensuring,
title = {{Ensuring Color Consistency Across Multiple Cameras}},
author = {Ilie, Adrian and Welch, Greg},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2005},
pages = {1268-1275},
doi = {10.1109/ICCV.2005.88},
url = {https://mlanthology.org/iccv/2005/ilie2005iccv-ensuring/}
}