Face Description with Local Invariant Features: Application to Face Recognition

A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and selects important fiducial facial points and characterizes them by applying a bank of Gabor filters which extract the peculiar texture around them (jets). A well known PCA technique is used to reduce the dimensionality of jets and recognition is realized by measuring the similarity between different jets in eigenspace. The system design is inspired by recent advancements in local feature detection and feature extraction techniques. A complete investigation on the proposed system is conducted, which covers face recognition under pose, illumination and expression variations. The performance of the proposed system is compared with standard methods and it shows the superiority of the proposed system. This research also demonstrates that the face image can be completely characterized with 125 fiducial facial feature poi...

• Type: Journal
• Year: 2009
• Where: ICETET
• Authors: Sanjay A. Pardeshi, S. N. Talbar
• Keywords: Emerging Technology, Face Recognition, Gabor Filter, ICETET 2009, Image