Robust face clustering for real-world data

Anantharajah, Kaneswaran (2015) Robust face clustering for real-world data. PhD thesis, Queensland University of Technology.


This thesis has investigated how to cluster a large number of faces within a multi-media corpus in the presence of large session variation. Quality metrics are used to select the best faces to represent a sequence of faces; and session variation modelling improves clustering performance in the presence of wide variations across videos. Findings from this thesis contribute to improving the performance of both face verification systems and the fully automated clustering of faces from a large video corpus.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

53 since deposited on 14 Dec 2015
53 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 89400
Item Type: QUT Thesis (PhD)
Supervisor: Tjondronegoro, Dian, Sridharan, Sridha, Fookes, Clinton, & Denman, Simon
Keywords: Face Clustering, Face Verification, Local Inter Session Variability Modelling, Gaussian Mixture Modelling, I-vectors, Session Variation, biometrics, Linear Scoring, Score Normalization
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 14 Dec 2015 06:42
Last Modified: 14 Dec 2015 06:42

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page