Robust Component Analysis for Facial Analysis and Recognition in the Wild
Lead Research Organisation:
Imperial College London
Department Name: 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
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
Organisations
People |
ORCID iD |
| Maja Pantic (Primary Supervisor) | |
| Eftychia Fotiadou (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509486/1 | 30/09/2016 | 30/03/2022 | |||
| 1822497 | Studentship | EP/N509486/1 | 30/09/2016 | 29/09/2019 | Eftychia Fotiadou |