Name
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICCV.2005.88 | ICCV |
Keywords | Field | DocType |
inter-camera color consistency,best balance linearity,per-camera hardware register setting,different color response,per-camera parametric value,refinement phase,single common color response,ensuring color consistency,multiple cameras,different camera,iterative closed-loop calibration phase,additional software-based color mapping,image reconstruction,dynamic range,computer vision,machine vision | Iterative reconstruction,Computer vision,Color mapping,Dynamic range,Machine vision,Computer graphics (images),Computer science,Hardware register,Software,Parametric statistics,Artificial intelligence,Color normalization | Conference |
ISSN | ISBN | Citations |
1550-5499 | 0-7695-2334-X-02 | 60 |
PageRank | References | Authors |
4.20 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adrian Ilie | 1 | 166 | 15.20 |
| Greg Welch | 2 | 1595 | 186.21 |