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Moving facial image transformations using static 2D prototypes

Research output: Contribution to conferencePaper


Bernard Paul Tiddeman, David Ian Perrett

School/Research organisations


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, race 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 languageEnglish
Publication statusPublished - 2001

    Research areas

  • facial image transformation, facial feature tracking, image processing, MODELS, SHAPE, SEQUENCES, TRACKING, COLOR

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