Nonrigid face alignment for unknown subject in video

Cheng, Xin (2013) Nonrigid face alignment for unknown subject in video. PhD thesis, Queensland University of Technology.

Abstract

Non-rigid face alignment is a very important task in a large range of applications but the existing tracking based non-rigid face alignment methods are either inaccurate or requiring person-specific model. This dissertation has developed simultaneous alignment algorithms that overcome these constraints and provide alignment with high accuracy, efficiency, robustness to varying image condition, and requirement of only generic model.

Impact and interest:

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Full-text downloads:

165 since deposited on 16 Dec 2013
29 in the past twelve months

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ID Code: 65338
Item Type: QUT Thesis (PhD)
Supervisor: Sridharan, Sridha & Fookes, Clinton
Keywords: Computer Vision, Image Processing, Face Alignment, Face Registration, Face Recognition, Biometric Identification, Face Tracking, Face Localisation, Facial Expression Analysis
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 16 Dec 2013 06:10
Last Modified: 07 Sep 2015 21:47

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