Abstract
The Active Shape Model (ASM) has been used successfully to extract the facial features of a face image under frontal view. However, its performance degrades when the face concerned is under perspective variations. In this paper, a modified active shape model is proposed which can represent a face more flexibly under different orientations. The model of the eyes, nose and mouth, and the model of the face contour are separated. An energy function is defined that links up these two representations of a human face. Three models are employed to represent the important facial features under different poses. The genetic algorithm (GA) is applied to search for the best representation of face images. Experiments show that our proposed model can achieve a better performance in representing face images under different perspective variations and facial expressions than the conventional ASM can.
Original language | English |
---|---|
Title of host publication | 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 |
Pages | 109-112 |
Number of pages | 4 |
Publication status | Published - 1 Dec 2004 |
Event | 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong Duration: 20 Oct 2004 → 22 Oct 2004 |
Conference
Conference | 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 |
---|---|
Country/Territory | Hong Kong |
City | Hong Kong, China |
Period | 20/10/04 → 22/10/04 |
ASJC Scopus subject areas
- General Engineering