In computer security, biometrics relates to automatic authentication of individuals using measurable human characteristics, such as fingerprints, face recognition, and iris recognition. Biometric authentication is used as a form of identification and access control at facilities across the commercial and government spectrum.
Multimedia (images, videos, text, and speech or combinations of more than one modality) forensics is the science of computer algorithms (especially machine learning and artificial intelligence) to automatically analyze multimedia, construct provenance trees and identify and provide evidence of multimedia forgeries. Multimedia forgeries range from manually manipulating multimedia assets, to multimedia repurposing and deep neural network-generated content.
Machine learning is a powerful tool that we use in our research whether it is in computer vision, biometrics, or multimedia analytics. However, we do not merely use it as a tool, but also contribute to the foundations of machine learning, such as disentangled representation learning and deep neural network architectural constructs and learning paradigms.
VIMAL leads the way in computer vision, face recognition, combining algorithms from computer graphics, and deep learning to develop technology with huge implications for security and commerce. Learn more about the research work in the Computer Vision field.
Interested in learning about projects we do in these fields?