View in EDS PDF Full Text

Motion Compression using Principal Geodesics Analysis.

Saved in:
Bibliographic Details
Title: Motion Compression using Principal Geodesics Analysis.
Authors: Tournier, M.1, Wu, X.1, Courty, N.2, Arnaud, E.1, Revéret, L.1
Source: Computer Graphics Forum. Apr2009, Vol. 28 Issue 2, p355-364. 10p. 3 Illustrations, 1 Diagram, 3 Charts, 1 Graph.
Subjects: Geodesics, Computer graphics software, Computer graphics research, Three-dimensional imaging, Photorealism, Computer-aided imagery software, Computer vision, Computer software
Abstract: Due to the growing need for large quantities of human animation data in the entertainment industry, it has become a necessity to compress motion capture sequences in order to ease their storage and transmission. We present a novel, lossy compression method for human motion data that exploits both temporal and spatial coherence. Given one motion, we first approximate the poses manifold using Principal Geodesics Analysis (PGA) in the configuration space of the skeleton. We then search this approximate manifold for poses matching end-effectors constraints using an iterative minimization algorithm that allows for real-time, data-driven inverse kinematics. The compression is achieved by only storing the approximate manifold parametrization along with the end-effectors and root joint trajectories, also compressed, in the output data. We recover poses using the IK algorithm given the end-effectors trajectories. Our experimental results show that considerable compression rates can be obtained using our method, with few reconstruction and perceptual errors. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 37138283
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Motion Compression using Principal Geodesics Analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Tournier%2C+M%2E%22">Tournier, M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wu%2C+X%2E%22">Wu, X.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Courty%2C+N%2E%22">Courty, N.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Arnaud%2C+E%2E%22">Arnaud, E.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Revéret%2C+L%2E%22">Revéret, L.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Apr2009, Vol. 28 Issue 2, p355-364. 10p. 3 Illustrations, 1 Diagram, 3 Charts, 1 Graph.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Geodesics%22">Geodesics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+software%22">Computer graphics software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+research%22">Computer graphics research</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Photorealism%22">Photorealism</searchLink><br /><searchLink fieldCode="DE" term="%22Computer-aided+imagery+software%22">Computer-aided imagery software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Due to the growing need for large quantities of human animation data in the entertainment industry, it has become a necessity to compress motion capture sequences in order to ease their storage and transmission. We present a novel, lossy compression method for human motion data that exploits both temporal and spatial coherence. Given one motion, we first approximate the poses manifold using Principal Geodesics Analysis (PGA) in the configuration space of the skeleton. We then search this approximate manifold for poses matching end-effectors constraints using an iterative minimization algorithm that allows for real-time, data-driven inverse kinematics. The compression is achieved by only storing the approximate manifold parametrization along with the end-effectors and root joint trajectories, also compressed, in the output data. We recover poses using the IK algorithm given the end-effectors trajectories. Our experimental results show that considerable compression rates can be obtained using our method, with few reconstruction and perceptual errors. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=37138283
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/j.1467-8659.2009.01375.x
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 355
    Subjects:
      – SubjectFull: Geodesics
        Type: general
      – SubjectFull: Computer graphics software
        Type: general
      – SubjectFull: Computer graphics research
        Type: general
      – SubjectFull: Three-dimensional imaging
        Type: general
      – SubjectFull: Photorealism
        Type: general
      – SubjectFull: Computer-aided imagery software
        Type: general
      – SubjectFull: Computer vision
        Type: general
      – SubjectFull: Computer software
        Type: general
    Titles:
      – TitleFull: Motion Compression using Principal Geodesics Analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Tournier, M.
      – PersonEntity:
          Name:
            NameFull: Wu, X.
      – PersonEntity:
          Name:
            NameFull: Courty, N.
      – PersonEntity:
          Name:
            NameFull: Arnaud, E.
      – PersonEntity:
          Name:
            NameFull: Revéret, L.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2009
              Type: published
              Y: 2009
          Identifiers:
            – Type: issn-print
              Value: 01677055
          Numbering:
            – Type: volume
              Value: 28
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Computer Graphics Forum
              Type: main
ResultId 1