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High-resolution Animation of Facial Dynamics

Nadtoka, N, Tena, JR, Hilton, A and Edge, J (2007) High-resolution Animation of Facial Dynamics In: 4th European Conference on Visual Media Production, 2007. IETCVMP., 2007-11-27 - ?, London.

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Abstract

This paper presents a framework for performance-based animation and retargeting of high-resolution face models from motion capture. A novel method is introduced for learning a mapping between sparse 3D motion capture markers and dense high-resolution 3D scans of face shape and appearance. A high-resolution facial expression space is learnt from a set of 3D face scans as a person specific morphable model. Sparse 3D face points sampled at the motion capture marker positions are used to build a corresponding low-resolution expression space to represent the facial dynamics from motion capture. Radial basis function interpolation is used to automatically map the low-resolution motion capture of facial dynamics to the high-resolution facial expression space. This produces a high-resolution facial animation with the detailed shape and appearance of real facial dynamics. Retargeting is introduced to transfer facial expressions to a novel subject captured from a single photograph or 3D scan. The subject specific high- resolution expression space is mapped to the novel subject based on anatomical differences in face shape. Results facial animation and retargeting demonstrate realistic animation of expressions from motion capture.

Item Type: Conference or Workshop Item (Paper)
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in IET European Conference on Visual Media Production Proceedings and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Depositing User: Symplectic Elements
Date Deposited: 16 Dec 2011 12:41
Last Modified: 23 Sep 2013 18:54
URI: http://epubs.surrey.ac.uk/id/eprint/29712

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