This paper presents an algorithm which detects automatically the feature points in a face image. This is a fundamental task in many applications, in particular in an automatic face recognition system. Starting from a frontal face image with a plain background we have effected an image segmentation to detect the different facial components (eyebrow, eyes, nose, mouth and chin). After this we have searched for the feature points of each face component. The algorithm has been tested on 320 face images taken from the Stirling University Face Database [10]. The points extracted in this way have been used in a face recognition algorithm based on the Hough transform.
Automatic Facial Feature Points Detection / Mastronardi, Giuseppe; Bevilacqua, Vitoantonio; Ciccimarra, A; Leone, I. (LECTURE NOTES IN COMPUTER SCIENCE). - In: Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence / [a cura di] De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo. - Berlin : Springer, 2008. - ISBN 978-3-540-85983-3. - pp. 1142-1149 [10.1007/978-3-540-85984-0_137]
Automatic Facial Feature Points Detection
MASTRONARDI, Giuseppe;BEVILACQUA, Vitoantonio;
2008-01-01
Abstract
This paper presents an algorithm which detects automatically the feature points in a face image. This is a fundamental task in many applications, in particular in an automatic face recognition system. Starting from a frontal face image with a plain background we have effected an image segmentation to detect the different facial components (eyebrow, eyes, nose, mouth and chin). After this we have searched for the feature points of each face component. The algorithm has been tested on 320 face images taken from the Stirling University Face Database [10]. The points extracted in this way have been used in a face recognition algorithm based on the Hough transform.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
