Face Identification from Manipulated Facial Images Using SIFT

Chennamma, H. R. and Rangarajan, L. and Veerabhadrappa, (2010) Face Identification from Manipulated Facial Images Using SIFT. In: Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on.

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1109/ICETET.2010.33


Editing on digital images is ubiquitous. Identification of deliberately modified facial images is a new challenge for face identification system. In this paper, we address the problem of identification of a face or person from heavily altered facial images. In this face identification problem, the input to the system is a manipulated or transformed face image and the system reports back the determined identity from a database of known individuals. Such a system can be useful in mugshot identification in which mugshot database contains two views (frontal and profile) of each criminal. We considered only frontal view from the available database for face identification and the query image is a manipulated face generated by face transformation software tool available online. We propose SIFT features for efficient face identification in this scenario. Further comparative analysis has been given with well known eigenface approach. Experiments have been conducted with real case images to evaluate the performance of both methods.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: eigenvalues and eigenfunctions;face recognition;transforms;SIFT;digital image editing;eigenface approach;face identification system;face transformation software tool;manipulated facial image;mugshot identification;query image;scale invariant feature transform;Image Tampering;Mugshots;PCA;SIFT
Subjects: Information, Computer and Applied Sciences > Computer Science
Divisions: PG Campuses > Manasagangotri, Mysore > Computer Science
Depositing User: Dhruvakumar
Date Deposited: 22 Oct 2013 07:01
Last Modified: 22 Oct 2013 07:01
URI: http://eprints.uni-mysore.ac.in/id/eprint/15822

Actions (login required)

View Item View Item