EV-SIFT - An Extended Scale Invariant Face Recognition for Plastic Surgery Face Recognition

Face Recognition Using SIFT

From 1970, research on automated face recognition has been on the rise. Since then many techniques and algorithms have been designed each one trying to provide better efficiency than the earlier one. This field of biometric analysis has found its use in many practical applications and with rising technologies each day, its exhaustive use in future is also expected. In this paper we have studied...

Face Recognition using SIFT Features

Face recognition has many important practical applications, like surveillance and access control. It is concerned with the problem of correctly identifying face images and assigning them to persons in a database. This paper proposes using SIFT features [4] for the recognition process. The new technique is compared with well-established face recognition algorithms, namely Eigenfaces [7] and Fish...

SIFT/LBP 3D face recognition

3D face recognition is a promising alternative to face the problem of recognizing 2D robustness. Therefore, the main advantage of 3D face recognition-based approach uses all the information on the geometry of the face, which allows us to get an accurate representation of the face. In the proposing contribution all distinctive facial features are captured by first extracting SIFT (Scale Invarian...

Background Invariant Face Recognition

As a contribution to handling the symbol grounding problem in AI an object recognition system is presented that is exempliied with human faces. It diiers from earlier systems by a pyramidal representation and the ability to cope with structured background.

Illumination Invariant Face Recognition