This paper addresses the question of what can be said about the colours in images that is independent of illumination. We make two main assumptions: Firstly, the illumination can be characterised as Planckian (a realistic assumption for most real scenes). Secondly, the camera behaves as if it were equipped with narrow band sensors (true for a large number of cameras). The resulting physics-based method results in a transformation of the original colour image to a grey-scale one which does not vary with illumination. We give results showing invariance under a range of illumination conditions
A method was recently devised for the recovery of an invariant image from a 3-band colour image. The...
A fundamental problem in psycophysical experiments is that significant conclusions are hard to draw ...
The invariant image [1, 2] formed from an RGB image taken under light that can be approximated as Pl...
This paper addresses the question of what can be said about the colours in images that is independen...
This paper addresses the question of what can be said about the colors in images that is independent...
Still, much of computer vision is predicated on greyscale imagery. There are good reasons for this. ...
[[abstract]]An approach to analyzing the degrees of invariance of chromatic characteristics is propo...
This paper presents the measurement of colored object reflectance, under different, general assumpti...
AbstractÐThis paper presents the measurement of colored object reflectance, under different, general...
Statistics-based colour constancy algorithms work well as long as there are many colours in a scene,...
Statistics-based colour constancy algorithms work well as long as there are many colours in a scene,...
In [9], we introduced a linear statistical model of joint color changes in images due to variation i...
A method was recently devised for the recovery of an invariant image from a 3-band colour image. Th...
A well known property of human vision, known as color constancy , is the ability to correct for colo...
Most cameras detect colour by using sensors that separate red, green and blue wavelengths of light w...
A method was recently devised for the recovery of an invariant image from a 3-band colour image. The...
A fundamental problem in psycophysical experiments is that significant conclusions are hard to draw ...
The invariant image [1, 2] formed from an RGB image taken under light that can be approximated as Pl...
This paper addresses the question of what can be said about the colours in images that is independen...
This paper addresses the question of what can be said about the colors in images that is independent...
Still, much of computer vision is predicated on greyscale imagery. There are good reasons for this. ...
[[abstract]]An approach to analyzing the degrees of invariance of chromatic characteristics is propo...
This paper presents the measurement of colored object reflectance, under different, general assumpti...
AbstractÐThis paper presents the measurement of colored object reflectance, under different, general...
Statistics-based colour constancy algorithms work well as long as there are many colours in a scene,...
Statistics-based colour constancy algorithms work well as long as there are many colours in a scene,...
In [9], we introduced a linear statistical model of joint color changes in images due to variation i...
A method was recently devised for the recovery of an invariant image from a 3-band colour image. Th...
A well known property of human vision, known as color constancy , is the ability to correct for colo...
Most cameras detect colour by using sensors that separate red, green and blue wavelengths of light w...
A method was recently devised for the recovery of an invariant image from a 3-band colour image. The...
A fundamental problem in psycophysical experiments is that significant conclusions are hard to draw ...
The invariant image [1, 2] formed from an RGB image taken under light that can be approximated as Pl...