Colour in Context
Research group
Computer Vision Center


Dr. Javier Vazquez-Corral (PostDoc)

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Colour Group


 

RESEARCH INTERESTS:


- Computational Colour Constancy

Colour constancy is the ability of the human visual system to perceive a stable representation of colour despite illumination changes. Computational colour constancy tries to emulate this ability, that is, tries to recover the illuminant of a scene from an acquired image.

Related Publications:

[VVB 2012] -  Color Constancy by Category Correlation

 

- Colour Psychophysics

To understand the different abilities of the human visual system becomes highly important in order to simulate them computationally.

Related Publications:

[VPV 2009] -  Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset

 

- Colour process in the brain

To simulate the process of colour in the brain will help in developping new imaging techniques

Related Publications:

[VOV 2012] -  A new spectrally sharpenend sensor basis to predict color naming, unique hues, and hue cancellation

 

- Sensor sharpening

Sensor sharpening tries to model different sensors in order to accomplish the Von Kries model. It is usually used as a preprocessign step for computational colour constancy.

Related Publications:

[GVS 2012] - Spectral Sharpening by Spherical Sampling

 

- Colour representation

To find a reprentation where all the colour information is preserved will be very useful in order to computationally achieve some visual tasks.

Related Publications:

[Vaz 2007] - Content-based colour space