Computer vision is one out of many areas that wants to understand the process of human functionality and copy that process with 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”. Mentioned installation unites the areas of modern art and technology. Its algorithm is based on skin colour detection. One of the problems 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...
Abstract. Skin color detection is often an effective means used to define a set of candidate areas l...
AbstractIt is very challenging to recognize a face from an image due to the wide variety of face and...
2002-2003 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe
Computer vision is one out of many areas that wants to understand the process of human functionalit...
Computer vision is one out of many areas that want to understand the process of human functionality ...
Abstract — Computer vision is one out of many areas that wants to un-derstand the process of human f...
Computer vision is one out of many areas that want to understand the process of human functionality ...
Author name used in this publication: Kin-Man Lam2005-2006 > Academic research: refereed > Publicati...
This paper describes a new approach to face detection. A colour input image is first processed using...
Automatic human face detection is becoming a critical required step in a wide range of applications ...
Human skin detection is an important preprocessing step in many applications involving images such a...
Abstract The colours of objects perceived by a colour camera are dependent on the illumination condi...
In this paper a new approach to detect human skin in colour images is proposed. The method uses the ...
Because of increasing demands for security in today-s society and also due to paying much more atten...
Among the various features of human face, skin colour is a more powerful means of discerning face ap...
Abstract. Skin color detection is often an effective means used to define a set of candidate areas l...
AbstractIt is very challenging to recognize a face from an image due to the wide variety of face and...
2002-2003 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe
Computer vision is one out of many areas that wants to understand the process of human functionalit...
Computer vision is one out of many areas that want to understand the process of human functionality ...
Abstract — Computer vision is one out of many areas that wants to un-derstand the process of human f...
Computer vision is one out of many areas that want to understand the process of human functionality ...
Author name used in this publication: Kin-Man Lam2005-2006 > Academic research: refereed > Publicati...
This paper describes a new approach to face detection. A colour input image is first processed using...
Automatic human face detection is becoming a critical required step in a wide range of applications ...
Human skin detection is an important preprocessing step in many applications involving images such a...
Abstract The colours of objects perceived by a colour camera are dependent on the illumination condi...
In this paper a new approach to detect human skin in colour images is proposed. The method uses the ...
Because of increasing demands for security in today-s society and also due to paying much more atten...
Among the various features of human face, skin colour is a more powerful means of discerning face ap...
Abstract. Skin color detection is often an effective means used to define a set of candidate areas l...
AbstractIt is very challenging to recognize a face from an image due to the wide variety of face and...
2002-2003 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe