A study of digital camera colorimetric characterisation based on polynomial modelling

By Guowei Hong, M. Luo, P. Rhodes. 2001

459 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/62c40f959f4b358165304a15d4c294af7306baf4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

1. M. Stevens
2. Tom Troscianko
3. Innes C. Cuthill

In Computer Vision and Pattern Recognition

1. C. Alejandro Párraga
2. David I. Perrett
3. M. Stevens
4. Innes C. Cuthill
5. Anthony C. Little

Citations in the corpus

• Cross-cultural effects of color, but not morphological masculinity, on perceived attractiveness of men's faces (2012, methodology): “We color-corrected images using a least154 squares transform, from an 11-expression polynomial expansion (Hong et al. 2001) 155 of camera RGB values for 24 ColorChecker patches to the manufacturer-specified 156 CIELab values of the same patches.”
• Using digital photography to study animal coloration (2007, background): “These problems can be avoided by changing the exposure/integration time (t), or altering the intensity of the light source, because these determine the flux of light reaching the camera’s sensors (Hong et al., 2001).”