Transformation of Dynamic Facial Image Sequences Using Static 2D Prototypes

Bernard Paul Tiddeman; David Ian Perrett

doi:10.1007/s003710100142

Transformation of Dynamic Facial Image Sequences Using Static 2D Prototypes

Bernard Paul Tiddeman, David Ian Perrett

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

This paper describes a new method for creating visually realistic moving facial image sequences that retain an actor's personality (individuality, expression and characteristic movements) while altering the facial appearance along a certain specified facial dimension. We combine two existing technologies, facial feature tracking and facial image transformation, to create the sequences. Examples are given of transforming the apparent age. ethnic appearance and gender of a face. We also create "virtual cartoons" by transforming image sequences into the style of famous artists. The results show that static 2D face models can be used to create realistic transformations of sequences that include changes in pose, expression and mouth shape.

Original language	English
Pages (from-to)	218-225
Number of pages	8
Journal	Visual Computer
Volume	18
Issue number	4
DOIs	https://doi.org/10.1007/s003710100142
Publication status	Published - Jun 2002

Keywords

facial image transformation
image processing
MODELS
SHAPE
MANIPULATION
PERCEPTION
ANIMATION
TRACKING
COLOR

Access to Document

10.1007/s003710100142

Cite this

@article{dd41f7ffe42043738205c46309984118,

title = "Transformation of Dynamic Facial Image Sequences Using Static 2D Prototypes",

abstract = "This paper describes a new method for creating visually realistic moving facial image sequences that retain an actor's personality (individuality, expression and characteristic movements) while altering the facial appearance along a certain specified facial dimension. We combine two existing technologies, facial feature tracking and facial image transformation, to create the sequences. Examples are given of transforming the apparent age. ethnic appearance and gender of a face. We also create {"}virtual cartoons{"} by transforming image sequences into the style of famous artists. The results show that static 2D face models can be used to create realistic transformations of sequences that include changes in pose, expression and mouth shape.",

keywords = "facial image transformation, image processing, MODELS, SHAPE, MANIPULATION, PERCEPTION, ANIMATION, TRACKING, COLOR",

author = "Tiddeman, {Bernard Paul} and Perrett, {David Ian}",

year = "2002",

month = jun,

doi = "10.1007/s003710100142",

language = "English",

volume = "18",

pages = "218--225",

journal = "Visual Computer",

issn = "1432-2315",

publisher = "Springer-Verlag",

number = "4",

}

TY - JOUR

T1 - Transformation of Dynamic Facial Image Sequences Using Static 2D Prototypes

AU - Tiddeman, Bernard Paul

AU - Perrett, David Ian

PY - 2002/6

Y1 - 2002/6

N2 - This paper describes a new method for creating visually realistic moving facial image sequences that retain an actor's personality (individuality, expression and characteristic movements) while altering the facial appearance along a certain specified facial dimension. We combine two existing technologies, facial feature tracking and facial image transformation, to create the sequences. Examples are given of transforming the apparent age. ethnic appearance and gender of a face. We also create "virtual cartoons" by transforming image sequences into the style of famous artists. The results show that static 2D face models can be used to create realistic transformations of sequences that include changes in pose, expression and mouth shape.

AB - This paper describes a new method for creating visually realistic moving facial image sequences that retain an actor's personality (individuality, expression and characteristic movements) while altering the facial appearance along a certain specified facial dimension. We combine two existing technologies, facial feature tracking and facial image transformation, to create the sequences. Examples are given of transforming the apparent age. ethnic appearance and gender of a face. We also create "virtual cartoons" by transforming image sequences into the style of famous artists. The results show that static 2D face models can be used to create realistic transformations of sequences that include changes in pose, expression and mouth shape.

KW - facial image transformation

KW - image processing

KW - MODELS

KW - SHAPE

KW - MANIPULATION

KW - PERCEPTION

KW - ANIMATION

KW - TRACKING

KW - COLOR

UR - http://www.scopus.com/inward/record.url?scp=0036608310&partnerID=8YFLogxK

UR - http://www.dcs.st-and.ac.uk/~bpt/dynamicTVC.pdf

U2 - 10.1007/s003710100142

DO - 10.1007/s003710100142

M3 - Article

SN - 1432-2315

VL - 18

SP - 218

EP - 225

JO - Visual Computer

JF - Visual Computer

IS - 4

ER -

Transformation of Dynamic Facial Image Sequences Using Static 2D Prototypes

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this