Figure 1 - uploaded by Guy K. Kloss
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A simple model of image formation: light from a source is reflected on a (coloured) object's surface. A fraction of the (coloured) light is reflected towards the eye or camera.
Source publication
Digital colour cameras are dramatically falling in price, making them affordable for ubiquitous appliances in many applications. An attempt to use colour information reveals a significant problem that usually escapes our awareness. Due to the adaptive nature of the human visual system in most cases we do not recognise most changes in illumination c...
Context in source publication
Context 1
... origins of colour lay in the distribution of the intensities in the visible spectrum. The human eye can perceive light in the range for wavelengths of about 400 to 700 nm. In the most general case light is emitted from a source (nat- ural, artificial, or due to reflectance from other objects) and incides on a surface (Fig. 1). A fraction of the light is re- flected towards the eye or an observant detector (camera). A lens focuses the incoming light onto a light sensitive photo ...
Citations
... Due to the course of a running session however the illumination conditions may change. Bystanders may shadow more or less secondary light sources, indirect daylight through open windows may change its quality due to clouds, etc. Methodologies on obtaining colour stability in these environments by means of ICC profile based colour correction and de-coupled profile adaptation have been described previously [11]. This paper focuses on the actual algorithm to obtain an updated ICC profile. ...
This manuscript describes an implementation of a system that can adaptively cope with the task of robust colour identification in the domain of robot soccer. The main challenge is to perform this in an environment of changing light conditions and/or cameras used. The camera setup is first characterised using common techniques from colour management with ICC profiles. In a second step current light conditions are compensated for by means of an affine colour transformation determined repeatedly at runtime. Lastly, a self learning hybrid fuzzy colour contrast fusion algorithm is used to discriminate the detected colours optimally against each other. This enables the system to robustly and efficiently identify individual players and objects on the playing field.
