Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example patterns

Martin A. Giese, Barbara Knappmeyer, Heinrich Bulthoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

We present a method for the synthesis of sequences of realistically looking human movements from learned example patterns. We apply this technique for the synthesis of dynamic facial expressions. Sequences of facial movements are decomposed into individual movement elements which are modeled by linear combinations of learned examples. The weights of the linear combinations define an abstract pattern space that permits a simple modification and parameterization of the style of the individual movement elements. The elements are defined in a way that is suitable for a simple automatic resynthesis of longer sequences from movement elements with different styles. We demonstrate the efficiency of this technique for the animation of a 3D head model and discuss how it can be used to generate spatio-temporally exaggerated sequences of facial expressions for psychophysical experiments on caricature effects.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages538-547
Number of pages10
Volume2525
ISBN (Print)9783540001744
Publication statusPublished - 2002
Externally publishedYes
Event2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002 - Tubingen, Germany
Duration: 2002 Nov 222002 Nov 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2525
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002
CountryGermany
CityTubingen
Period02/11/2202/11/24

Fingerprint

Linear Combination
Synthesis
Parameterization
Animation
Facial Expression
Experiments
Human
Movement
Demonstrate
Experiment
Style
Model

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Giese, M. A., Knappmeyer, B., & Bulthoff, H. (2002). Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example patterns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2525, pp. 538-547). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2525). Springer Verlag.

Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example patterns. / Giese, Martin A.; Knappmeyer, Barbara; Bulthoff, Heinrich.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2525 Springer Verlag, 2002. p. 538-547 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2525).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Giese, MA, Knappmeyer, B & Bulthoff, H 2002, Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example patterns. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2525, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2525, Springer Verlag, pp. 538-547, 2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002, Tubingen, Germany, 02/11/22.
Giese MA, Knappmeyer B, Bulthoff H. Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example patterns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2525. Springer Verlag. 2002. p. 538-547. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Giese, Martin A. ; Knappmeyer, Barbara ; Bulthoff, Heinrich. / Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example patterns. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2525 Springer Verlag, 2002. pp. 538-547 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{3d3c501345444efd8d35e9bf62ff6ff7,
title = "Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example patterns",
abstract = "We present a method for the synthesis of sequences of realistically looking human movements from learned example patterns. We apply this technique for the synthesis of dynamic facial expressions. Sequences of facial movements are decomposed into individual movement elements which are modeled by linear combinations of learned examples. The weights of the linear combinations define an abstract pattern space that permits a simple modification and parameterization of the style of the individual movement elements. The elements are defined in a way that is suitable for a simple automatic resynthesis of longer sequences from movement elements with different styles. We demonstrate the efficiency of this technique for the animation of a 3D head model and discuss how it can be used to generate spatio-temporally exaggerated sequences of facial expressions for psychophysical experiments on caricature effects.",
author = "Giese, {Martin A.} and Barbara Knappmeyer and Heinrich Bulthoff",
year = "2002",
language = "English",
isbn = "9783540001744",
volume = "2525",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "538--547",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example patterns

AU - Giese, Martin A.

AU - Knappmeyer, Barbara

AU - Bulthoff, Heinrich

PY - 2002

Y1 - 2002

N2 - We present a method for the synthesis of sequences of realistically looking human movements from learned example patterns. We apply this technique for the synthesis of dynamic facial expressions. Sequences of facial movements are decomposed into individual movement elements which are modeled by linear combinations of learned examples. The weights of the linear combinations define an abstract pattern space that permits a simple modification and parameterization of the style of the individual movement elements. The elements are defined in a way that is suitable for a simple automatic resynthesis of longer sequences from movement elements with different styles. We demonstrate the efficiency of this technique for the animation of a 3D head model and discuss how it can be used to generate spatio-temporally exaggerated sequences of facial expressions for psychophysical experiments on caricature effects.

AB - We present a method for the synthesis of sequences of realistically looking human movements from learned example patterns. We apply this technique for the synthesis of dynamic facial expressions. Sequences of facial movements are decomposed into individual movement elements which are modeled by linear combinations of learned examples. The weights of the linear combinations define an abstract pattern space that permits a simple modification and parameterization of the style of the individual movement elements. The elements are defined in a way that is suitable for a simple automatic resynthesis of longer sequences from movement elements with different styles. We demonstrate the efficiency of this technique for the animation of a 3D head model and discuss how it can be used to generate spatio-temporally exaggerated sequences of facial expressions for psychophysical experiments on caricature effects.

UR - http://www.scopus.com/inward/record.url?scp=84931391538&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84931391538&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84931391538

SN - 9783540001744

VL - 2525

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 538

EP - 547

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

ER -