Visual ageing of human faces in three dimensions using morphable models and projection to latent structures

David William Hunter; Bernard Paul Tiddeman

Visual ageing of human faces in three dimensions using morphable models and projection to latent structures

David William Hunter, Bernard Paul Tiddeman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present an approach to synthesising the effects of ageing on human face images using three-dimensional modelling. We extract a set of three dimensional face models from a set of two-dimensional face images by fitting a Morphable Model. We propose a method to age these face models using Partial Least Squares to extract from the data-set those factors most related to ageing. These ageing related factors are used to train an individually weighted linear model. We show that this is an effective means of producing an aged face image and compare this method to two other linear ageing methods for ageing face models. This is demonstrated both quantitatively and with perceptual evaluation using human raters.

Original language	English
Title of host publication	VISAPP 2009
Subtitle of host publication	Proceedings of the Fourth International Conference on Computer Vision Theory and Applications
Place of Publication	Lisboa, Portugal
Publisher	INSTICC Press
Pages	340-345
Number of pages	4
Volume	2
ISBN (Electronic)	978-989-8111-69-2
ISBN (Print)	978-989-8111-69-2
Publication status	Published - Feb 2009
Event	4th International Conference on Computer Vision Theory and Applications - Lisbon, Portugal Duration: 5 Feb 2009 → 8 Feb 2009

Conference

Conference	4th International Conference on Computer Vision Theory and Applications
Country/Territory	Portugal
City	Lisbon
Period	5/02/09 → 8/02/09

Keywords

Computer Vision
Image Analysis
Visual Ageing
3D Modelling

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title = "Visual ageing of human faces in three dimensions using morphable models and projection to latent structures",

abstract = "We present an approach to synthesising the effects of ageing on human face images using three-dimensional modelling. We extract a set of three dimensional face models from a set of two-dimensional face images by fitting a Morphable Model. We propose a method to age these face models using Partial Least Squares to extract from the data-set those factors most related to ageing. These ageing related factors are used to train an individually weighted linear model. We show that this is an effective means of producing an aged face image and compare this method to two other linear ageing methods for ageing face models. This is demonstrated both quantitatively and with perceptual evaluation using human raters.",

keywords = "Computer Vision, Image Analysis, Visual Ageing, 3D Modelling",

author = "Hunter, {David William} and Tiddeman, {Bernard Paul}",

year = "2009",

month = feb,

language = "English",

isbn = "978-989-8111-69-2",

volume = "2",

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booktitle = "VISAPP 2009",

publisher = "INSTICC Press",

note = "4th International Conference on Computer Vision Theory and Applications ; Conference date: 05-02-2009 Through 08-02-2009",

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Hunter, DW & Tiddeman, BP 2009, Visual ageing of human faces in three dimensions using morphable models and projection to latent structures. in VISAPP 2009: Proceedings of the Fourth International Conference on Computer Vision Theory and Applications. vol. 2, INSTICC Press, Lisboa, Portugal, pp. 340-345, 4th International Conference on Computer Vision Theory and Applications, Lisbon, Portugal, 5/02/09.

Visual ageing of human faces in three dimensions using morphable models and projection to latent structures. / Hunter, David William; Tiddeman, Bernard Paul.
VISAPP 2009: Proceedings of the Fourth International Conference on Computer Vision Theory and Applications. Vol. 2 Lisboa, Portugal: INSTICC Press, 2009. p. 340-345.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Visual ageing of human faces in three dimensions using morphable models and projection to latent structures

AU - Hunter, David William

AU - Tiddeman, Bernard Paul

PY - 2009/2

Y1 - 2009/2

N2 - We present an approach to synthesising the effects of ageing on human face images using three-dimensional modelling. We extract a set of three dimensional face models from a set of two-dimensional face images by fitting a Morphable Model. We propose a method to age these face models using Partial Least Squares to extract from the data-set those factors most related to ageing. These ageing related factors are used to train an individually weighted linear model. We show that this is an effective means of producing an aged face image and compare this method to two other linear ageing methods for ageing face models. This is demonstrated both quantitatively and with perceptual evaluation using human raters.

AB - We present an approach to synthesising the effects of ageing on human face images using three-dimensional modelling. We extract a set of three dimensional face models from a set of two-dimensional face images by fitting a Morphable Model. We propose a method to age these face models using Partial Least Squares to extract from the data-set those factors most related to ageing. These ageing related factors are used to train an individually weighted linear model. We show that this is an effective means of producing an aged face image and compare this method to two other linear ageing methods for ageing face models. This is demonstrated both quantitatively and with perceptual evaluation using human raters.

KW - Computer Vision

KW - Image Analysis

KW - Visual Ageing

KW - 3D Modelling

UR - http://www.visapp.visigrapp.org/VISAPP2009/

M3 - Conference contribution

SN - 978-989-8111-69-2

VL - 2

SP - 340

EP - 345

BT - VISAPP 2009

PB - INSTICC Press

CY - Lisboa, Portugal

T2 - 4th International Conference on Computer Vision Theory and Applications

Y2 - 5 February 2009 through 8 February 2009

ER -

Visual ageing of human faces in three dimensions using morphable models and projection to latent structures

Abstract

Conference

Keywords

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