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Neural network approaches to caricature generation

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thesis
posted on 09.08.2018, 16:17 authored by Ka-Hang Lai
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.]

Funding

Loughborough University, Department of Computer Science (research studentship).

History

School

  • Science

Department

  • Computer Science

Publisher

© Ka Hang Lai

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2007

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.

Language

en

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