A generative model for motion synthesis and blending using probability density estimation

D Okwechime; R Bowden

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Conference presentation

A generative model for motion synthesis and blending using probability density estimation

D Okwechime and R Bowden

ARTICULATED MOTION AND DEFORMABLE OBJECTS, PROCEEDINGS, Vol.5098, pp.218-227

5th International Conference on Articulated Motion and Deformable Objects (Port d Andratx, SPAIN, 09/07/2008 - 11/07/2008)

01/01/2008

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Computer Science

Software Engineering

Computer Science

Theory & Methods

Imaging Science & Photographic Technology

Computer Science

animation

motion capture

probability distribution function

principal component analysis

least square curve fitting

linear interpolation

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Title: A generative model for motion synthesis and blending using probability density estimation
Creators: D Okwechime
R Bowden
Contributors: FJ Perales
RB Fisher
SPRINGER-VERLAG BERLIN (null)
Publication Details: ARTICULATED MOTION AND DEFORMABLE OBJECTS, PROCEEDINGS, Vol.5098, pp.218-227
Conference: 5th International Conference on Articulated Motion and Deformable Objects (Port d Andratx, SPAIN, 09/07/2008 - 11/07/2008)
Date published: 01/01/2008
Date submitted: 26/04/2012
Identifiers: 99512824202346
Academic Unit: University of Surrey
Resource Type: Conference presentation

A generative model for motion synthesis and blending using probability density estimation

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