Skip to main navigation Skip to search Skip to main content

Motion Transition Based on Bézier Quaternion Curve

  • Yancai Lu*
  • , Shuling Dai
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Motion transition of virtual human is usually used for changing from one motion to another, which is one of the most important motion editing methods for virtual human motion capture data reuse. In this paper, we present a solution to connect virtual human motion clips smoothly by using bézier quaternion curve. Four control points are used to determine the shape of the bézier quaternion curve and De Casteljau’s algorithm is for calculating interpolation points. Slerp (the abbreviation of quaternion spherical linear interpolation) is chosen as the interpolation method. As a result, realistic and real-time human motion transition is achieved, as experimentally demonstrated with the walking and running motion sequences.

Original languageEnglish
Title of host publicationProceedings of 2017 Chinese Intelligent Automation Conference
EditorsZhidong Deng
PublisherSpringer Verlag
Pages663-671
Number of pages9
ISBN (Print)9789811064449
DOIs
StatePublished - 2018
EventChinese Intelligent Automation Conference, CIAC 2017 - Tianjin, China
Duration: 2 Jun 20174 Jun 2017

Publication series

NameLecture Notes in Electrical Engineering
Volume458
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceChinese Intelligent Automation Conference, CIAC 2017
Country/TerritoryChina
CityTianjin
Period2/06/174/06/17

Keywords

  • Bézier quaternion curve
  • Motion transition
  • Slerp
  • Virtual human

Fingerprint

Dive into the research topics of 'Motion Transition Based on Bézier Quaternion Curve'. Together they form a unique fingerprint.

Cite this