Name
Abstract | ||
|---|---|---|
Camera spectral sensitivity functions relate scene radiance with captured RGB triplets. They are important for many computer vision tasks that use color information, such as multispectral imaging, color rendering, and color constancy. In this paper, we aim to explore the space of spectral sensitivity functions for digital color cameras. After collecting a database of 28 cameras covering a variety of types, we find this space convex and two-dimensional. Based on this statistical model, we propose two methods to recover camera spectral sensitivities using regular reflective color targets (e.g., color checker) from a single image with and without knowing the illumination. We show the proposed model is more accurate and robust for estimating camera spectral sensitivities than other basis functions. We also show two applications for the recovery of camera spectral sensitivities — simulation of color rendering for cameras and computational color constancy. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/WACV.2013.6475015 | WACV |
Keywords | Field | DocType |
computational color constancy,color constancy,color information,color checker,regular reflective color target,spectral sensitivity function,camera spectral sensitivity function,color rendering,digital color camera,camera spectral sensitivity,statistical analysis,computer vision | Computer vision,Color constancy,Color space,Color histogram,Pattern recognition,Computer science,Color balance,RGB color model,Artificial intelligence,Color normalization,False color,Color image | Conference |
Citations | PageRank | References |
15 | 0.90 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinwei Gu | 1 | 687 | 39.49 |
| Jun Jiang | 2 | 15 | 0.90 |
| Sabine Süsstrunk | 3 | 4984 | 207.02 |
| Dengyu Liu | 4 | 37 | 2.76 |