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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/34440

Title: Neural network approaches to caricature generation
Authors: Lai, Ka-Hang
Issue Date: 2007
Publisher: © Ka Hang Lai
Abstract: A caricature is defined as a humorous drawing of a human facial figure that makes some of its distinct features appear exaggerated. It is easily observed that the exaggerations made by different artists on facial components are often different and are non-linear. This uniqueness of the exaggerations signifies the drawing style of an artist, but has unfortunately been ignored in the design of existing computer based automatic caricature generation systems. Nevertheless learning the unique drawing style and modelling the non-linear exaggerations distinct to an artist provide the key but a real challenge to the computer based automatic generation of professional caricature. This Thesis proposes a face modelling framework that includes two novel face models, which are capable of representing human faces in caricaturing applications. [Continues.]
Description: A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.
Sponsor: Loughborough University, Department of Computer Science (research studentship).
URI: https://dspace.lboro.ac.uk/2134/34440
Appears in Collections:PhD Theses (Computer Science)

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