Color constancy using the inter-reflection from a reference nose

Mohamed Abdellatif

doi:10.1023/A:1026559628005

Color constancy using the inter-reflection from a reference nose

2000-01-01

4

PRE

AI

DOI：10.1023/A:1026559628005

Original

Original request for help

Save

Abstract

En 中文

This paper introduces a novel camera attachment for measuring the illumination color spatially in the scene. The illumination color is then used to transform color appearance in the image into that under white light. The main idea is that the scene inter-reflection through a reference camera-attached surface Nose can, under some conditions, represent the illumination color directly. The illumination measurement principle relies on the satisfaction of the gray world assumption in a local scene area or the appearance of highlights, from dielectric surfaces. Scene inter-reflections are strongly blurred due to optical dispersion on the nose surface and defocusing of the nose surface image. Blurring smoothes the intense highlights and it thus becomes possible to measure the nose inter-reflection under conditions in which intensity variation in the main image would exceed the sensor dynamic range. We designed a nose surface to reflect a blurred scene version into a small image section, which is interpreted as a spatial illumination image. The nose image is then mapped to the main image for adjusting every pixel color. Experimental results showed that the nose inter-reflection color is a good measure of illumination color when the model assumptions are satisfied. The nose method performance, operating on real images, is presented and compared with the Retinex and the scene-inserted white patch methods.

Keywords:

color constancy

nose method

color imaging

robot vision

human color vision

Color constancy using the inter-reflection from a reference nose

Abstract

AI Summary

Journal

Organization

Cited Papers