Computer vision is one of many areas that wants to understand the process of human functionality and copy that process with the intention to complement human life with intelligent machines. For better human-computer interaction it is necessary for the machine to see people. This can be achieved by employing face detection algorithms, like the one used in the installation "15 Seconds of Fame". This installation unites the areas of modern art and technology. Its algorithm is based on skin colour detection. One of the problems that this and similar algorithms have to deal with is sensitivity to the illumination conditions under which the input image is captured. Hence illumination sensitivity influences face detection results. One of the aspects from which we can observe illumination influence is the choice of proper colour space. Since some colour spaces are designed to eliminate the influence of illumination (brightness) when describing colour of an object, an idea of using such a colour space for skin-colour detection has been considered and some of the methods have been researched and tested.
[1]
Franc Solina,et al.
COLOR-BASED FACE DETECTION IN THE "15 SECONDS OF FAME" ART INSTALLATION
,
2003
.
[2]
Brian V. Funt,et al.
Is Machine Colour Constancy Good Enough?
,
1998,
ECCV.
[3]
Franc Solina,et al.
15 seconds of fame: an interactive, computer-vision based art installation
,
2004,
MULTIMEDIA '04.
[4]
Franc Solina,et al.
Eliminating the Influence of Non-Standard Illumination from Images
,
2003
.
[5]
F. Solina.
15 seconds of fame
,
2004,
Leonardo.
[6]
Graham D. Finlayson,et al.
Color by Correlation: A Simple, Unifying Framework for Color Constancy
,
2001,
IEEE Trans. Pattern Anal. Mach. Intell..
[7]
Anil K. Jain,et al.
Face Detection in Color Images
,
2002,
IEEE Trans. Pattern Anal. Mach. Intell..
[8]
Franc Solina,et al.
An Automatic Human Face Detection Method
,
1999
.
[9]
M. Pawlewski,et al.
Face detection in colour images
,
2001,
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).