With the emergence of new applications centered around the sharing of image data, questions concerning the protection of the privacy of people visible in the scene arise. In most of these applications knowledge of the identity of people in the image is not required. This makes the case for image de-identification, the removal of identifying information from images, prior to sharing of the data....

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 det...

Most people have had the experience of recognizing a person’s face as familiar despite failing to identify who the person is or where the person was seen before. Many domains of research have aimed to study this phenomenon; thus, there exist many research paradigms for attempting to tap it in laboratory settings. Among these paradigms are dual-process recognition memory paradigms within the rec...

OF THE THESIS Face Identification and Clustering by Atul Dhingra Thesis Director: Dr. Vishal Patel, Dr. Ahmed Elgammal In this thesis, we study two problems based on clustering algorithms. In the first problem, we study the role of visual attributes using an agglomerative clustering algorithm to whittle down the search area where the number of classes is high to improve the performance of clust...