Results 1  10
of
11
Color Ratios and Chromatic Adaptation
 Proc. IS&T CGIV
, 2002
"... In this paper, the performance of chromatic adaptation transforms based on stable color ratios is investigated. It was found that for three different sets of reflectance data, their performance was not statistically different from CMCCAT2000, when applying the chromatic adaptation transforms to Lam& ..."
Abstract

Cited by 3 (1 self)
 Add to MetaCart
(Show Context)
In this paper, the performance of chromatic adaptation transforms based on stable color ratios is investigated. It was found that for three different sets of reflectance data, their performance was not statistically different from CMCCAT2000, when applying the chromatic adaptation transforms to Lam's corresponding color data set and using a perceptual error metric of CIE AE94. The sensors with the best color ratio stability are much sharper and more decorrelated than the CMCCAT2000 sensors, corresponding better to sensor responses found in other psychovisual studies. The new sensors also closely match those used by the sharp adaptation transform Keywords Spherical Sampling, Optimization, Color constancy, Color ratio stability, Chromatic Adaptation Transforms (CATs), CMCCAT2000.
Optimization for Hue Constant RGB Sensors
"... We present an optimization technique to find hue constant RGB sensors. The hue representation is based on a log RGB opponent color space that is invariant to brightness and gamma. While modeling the visual response did not derive the opponent space, the hue definition is similar to the ones found in ..."
Abstract

Cited by 2 (1 self)
 Add to MetaCart
(Show Context)
We present an optimization technique to find hue constant RGB sensors. The hue representation is based on a log RGB opponent color space that is invariant to brightness and gamma. While modeling the visual response did not derive the opponent space, the hue definition is similar to the ones found in CIE Lab and IPT. Finding hue constant RGB sensors through this optimization might be applicable in color engineering applications such as finding RGB sensors for color image encodings.
Illuminant retrieval for fixed location cameras
"... Fixed location cameras, such as panoramic cameras or surveillance cameras, are very common. In images taken with these cameras, there will be changes in lighting and dynamic image content, but there will also be constant objects in the background. We propose to solve for color constancy in this fram ..."
Abstract

Cited by 2 (2 self)
 Add to MetaCart
Fixed location cameras, such as panoramic cameras or surveillance cameras, are very common. In images taken with these cameras, there will be changes in lighting and dynamic image content, but there will also be constant objects in the background. We propose to solve for color constancy in this framework. We use a set of images to recover the scenes ’ illuminants using only a few surfaces present in the scene. Our method retrieves the illuminant in every image by minimizing the difference between the reflectance spectra of the redundant elements ’ surfaces or, more precisely, between their corresponding sensor response values. It is assumed that these spectra are constant across images taken under different illuminants. We also recover an estimate of the reflectance spectra of the selected elements. Experiments on synthetic and real images validate our method.
Evaluating chromatic adaptation transform performance
 Proc. IS&T/SID 13th Color Imaging Conference 2005
"... The performance of many color science and imaging algorithms are evaluated based on their mean errors. However, if these errors are not normally distributed, statistical evaluations based on the mean are not appropriate performance metrics. We present a nonparametric method, called the Wilcoxon sig ..."
Abstract

Cited by 1 (0 self)
 Add to MetaCart
(Show Context)
The performance of many color science and imaging algorithms are evaluated based on their mean errors. However, if these errors are not normally distributed, statistical evaluations based on the mean are not appropriate performance metrics. We present a nonparametric method, called the Wilcoxon signedrank test, which can be used to evaluate performance without making any underlying assumption of the error distribution. When applying the metric to the performance of chromatic adaptation transforms on corresponding color data, we can derive a new CAT that statistically significantly outperforms CAT02 at the 95% confidence level.
unknown title
"... In computer graphics, the term rendering describes the process of generating images from a scene description. The scene description typically contains a geometrical representation of the objects in the scene, properties of the surface materials of the objects and the illumination. The term inverse r ..."
Abstract
 Add to MetaCart
(Show Context)
In computer graphics, the term rendering describes the process of generating images from a scene description. The scene description typically contains a geometrical representation of the objects in the scene, properties of the surface materials of the objects and the illumination. The term inverse rendering describes the inverse process, that is, given a set of pictures of a scene and the geometry, inverse rendering is the process of estimating the properties of the materials and recovering the illumination in the scene. Several attempts have been made at solving the inverse rendering problem, but common for all attempts is that a number of limiting assumptions or requirements are made. Most algorithms require known and controllable illumination, usually just allowing one single light source, or impose strict limitations on the materials, for instance allowing only diffuse materials. Recently, Ramamoorthi & Hanrahan developed a theoretical framework for analysing inverse rendering problems, and based on this framework
unknown title
"... In computer graphics, the term rendering describes the process of generating images from a scene description. The scene description typically contains a geometrical representation of the objects in the scene, properties of the surface materials of the objects and the illumination. The term inverse r ..."
Abstract
 Add to MetaCart
(Show Context)
In computer graphics, the term rendering describes the process of generating images from a scene description. The scene description typically contains a geometrical representation of the objects in the scene, properties of the surface materials of the objects and the illumination. The term inverse rendering describes the inverse process, that is, given a set of pictures of a scene and the geometry, inverse rendering is the process of estimating the properties of the materials and recovering the illumination in the scene. Several attempts have been made at solving the inverse rendering problem, but common for all attempts is that a number of limiting assumptions or requirements are made. Most algorithms require known and controllable illumination, usually just allowing one single light source, or impose strict limitations on the materials, for instance allowing only diffuse materials. Recently, Ramamoorthi & Hanrahan developed a theoretical framework for analysing inverse rendering problems, and based on this framework
Marguier Joanna, Perceptually Uniform RGB space COLOR MATCHING FUNCTIONS FOR A PERCEPTUALLY UNIFORM RGB SPACE
"... We present methods to estimate perceptual uniformity of color spaces and to derive a perceptually uniform RGB space using geometrical criteria defined in a logarithmic opponent color representation. 1. ..."
Abstract
 Add to MetaCart
(Show Context)
We present methods to estimate perceptual uniformity of color spaces and to derive a perceptually uniform RGB space using geometrical criteria defined in a logarithmic opponent color representation. 1.