On the Use of External Face Features for Identity Verification

Abstract-- In general automatic face classification applications images are captured in natural environments. In these cases, the performance is affected by variations in facial images related to illumination, pose, occlusion or expressions. Most of the existing face classification systems use only the internal features information, composed by eyes, nose and mouth, since they are more difficult to imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in these cases the information located at head, chin or ears zones (external features) can be useful to improve the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a complete scheme based on a TopDown reconstruction algorithm to extract external features of face images. To test our system we have performed face verification experiments using public databases, given t...

• Type: Journal
• Year: 2006
• Where: JMM2
• Authors: Àgata Lapedriza, David Masip, Jordi Vitrià
• Keywords: Face Classification, Face Classification Applications, Images, JMM2 2006