Robust Component Analysis for Facial Analysis and Recognition in the Wild

Lead Research Organisation: Imperial College London
Department Name: Dept of Computing

Abstract

The objective of this project is the development of methods for unsupervised extraction of low-dimensional representations from high-dimensional temporal data, capable of handling "in the wild" data.
Application of the aforementioned methods may include:
-Person verification/recognition based on motion data
-Spatial and temporal alignment and unsupervised segmentation of human behaviour
-Unsupervised measurement of human behavior similarity based on visual data

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509486/1 01/10/2016 31/03/2022
1822497 Studentship EP/N509486/1 01/04/2016 30/09/2019 Eftychia Fotiadou