TY - GEN
T1 - A new approach to face localization in the HSV space using the Gaussian model
AU - Deriche, Mohamed
AU - Naseem, Imran
PY - 2007
Y1 - 2007
N2 - We propose a model based approach for the problem of face localization. Traditionally, images are represented in the RGB color space, which is a 3-dimensional space that includes the illumination factor. However, the human skin color of different ethnic groups has been shown to change because of brightness. We therefore propose to transform the RGB images into the HSV color-space. We then exclude the V component, and use the HS-domain to represent skin pixels using a Gaussian probability model. The model is used to obtain a skin likelihood image which is further transformed into a binary image using the fuzzy C-mean clustering (FCM) technique. The candidate skin regions are checked for some facial properties and finally a template face matching approach is used to localize the face.. The developed algorithm is found robust and reliable under various imaging conditions and even in the presence of structural objects like hairs, spectacles, etc.
AB - We propose a model based approach for the problem of face localization. Traditionally, images are represented in the RGB color space, which is a 3-dimensional space that includes the illumination factor. However, the human skin color of different ethnic groups has been shown to change because of brightness. We therefore propose to transform the RGB images into the HSV color-space. We then exclude the V component, and use the HS-domain to represent skin pixels using a Gaussian probability model. The model is used to obtain a skin likelihood image which is further transformed into a binary image using the fuzzy C-mean clustering (FCM) technique. The candidate skin regions are checked for some facial properties and finally a template face matching approach is used to localize the face.. The developed algorithm is found robust and reliable under various imaging conditions and even in the presence of structural objects like hairs, spectacles, etc.
UR - https://www.scopus.com/pages/publications/38349079103
U2 - 10.1007/978-3-540-74607-2_34
DO - 10.1007/978-3-540-74607-2_34
M3 - Conference contribution
AN - SCOPUS:38349079103
SN - 9783540746065
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 373
EP - 383
BT - Advanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings
PB - Springer Verlag
ER -