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Images are one of the key elements of the content of the World Wide Web. One group of web images are also photos of people. When various institutions (universities, research organizations, companies, associations, etc.) present their staff, they should include photos of people for the purpose of more informative presentation. The fact is, that there are many specifies how people see face images and how do they remember them. Several methods to investigate person’s behavior during use of web content can be performed and one of the most reliable method among them is eye tracking. It is very common technique, particularly when it comes to observing web images. Our research focused on behavior of observing face images in process of memorizing them. Test participants were presented with face images shown at different time scale. We focused on three main face elements: eyes, mouth and nose. The results of our analysis can help not only in web presentation, which are, in principle, not limited by time observation, but especially in public presentations (conferences, symposia, and meetings). [ABSTRACT FROM AUTHOR]

Photometric parameters and the evaluation of colour phenomena based on real human perception of light and colour were introduced into colour science in the first half of the 20th century. However, in the last two decades some known software programs for 3D computer graphics attempt to simulate realistic light source and optical effects with the help of photometric parameters. The reason for somewhat late arrival of such software applications can be found in the prevalent use of RGB colour space and the complexity of achieving realistic light source and colour effects. The aim of the research was to write and implement a simple gamut compression algorithm that will make colour transformation from input XYZ data to appropriate RGB data of sRGB colour space within large number of colours (1872) and different illuminants (16), and also to define appropriate light source intensity in 3D modelling software to achieve optimal matching of simulated and real photographic lights with predefined RGB values. Due to discrepancies between real light sources and the interpretation of light source colours in 3D, RGB colours of sRGB had to be adjusted with calibration procedure developed. The results of the research offer the possibility for theoretical prediction of virtual colours and light source intensity for different colours of light sources. [ABSTRACT FROM AUTHOR]