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  Marker-less 3D Feature Tracking for Mesh-based Motion Capture

de Aguiar, E., Theobalt, C., Stoll, C., & Seidel, H.-P. (2007). Marker-less 3D Feature Tracking for Mesh-based Motion Capture. In A. Elgammal, B. Rosenhahn, & R. Klette (Eds.), Human Motion - Understanding, Modeling, Capture and Animation (pp. 1-15). Berlin: Springer. doi:10.1007/978-3-540-75703-0_1.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1FC3-0 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-50D9-2
Genre: Conference Paper

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 Creators:
de Aguiar, Edilson1, Author           
Theobalt, Christian1, Author                 
Stoll, Carsten1, Author           
Seidel, Hans-Peter1, Author                 
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: We present a novel algorithm that robustly tracks 3D trajectories
of features on a moving human who has been recorded with multiple video
cameras. Our method does so without special markers in the scene and can be
used to track subjects wearing everyday apparel. By using the paths of the 3D
points as constraints in a fast mesh deformation approach, we can directly
animate a static human body scan such that it performs the same motion as the
captured ubject. Our method can therefore be used to directly animate high
quality geometry models from unaltered video data which opens the door to new
applications in motion capture, 3D Video and computer animation. Since our
method does not require a kinematic skeleton and only employs a handful of
feature trajectories to generate ifelike animations with realistic surface
deformations, it can lso be used to track subjects wearing wide apparel, and
even nimals. We demonstrate the performance of our approach using several
captured real-world sequences, and also validate its accuracy.

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Language(s): eng - English
 Dates: 2008-03-2720072007
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356521
DOI: 10.1007/978-3-540-75703-0_1
Other: Local-ID: C12573CC004A8E26-961A40E744D69B42C12573B6000C8118-deAguiar2006_HM07
BibTex Citekey: deAguiar2006_HM07
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Title: Second Workshop on Human Motion
Place of Event: Rio de Janeiro, Brazil
Start-/End Date: 2007-10-20 - 2007-10-20

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Source 1

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Title: Human Motion - Understanding, Modeling, Capture and Animation
  Subtitle : Second Workshop, HumanMotion 2007, Rio de Janeiro, Brazil, October 20, 2007, Proceedings
  Latex : Human Motion -- Understanding, Modeling, Capture and Animation
Source Genre: Proceedings
 Creator(s):
Elgammal, Ahmed1, Editor
Rosenhahn, Bodo2, Editor           
Klette, Reinhard1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
2 Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 15 Identifier: ISBN: 978-3-540-75702-3

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Pages: - Volume / Issue: 4814 Sequence Number: - Start / End Page: - Identifier: -