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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/11858/00-001M-0000-0024-BBFC-4
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 Human Motion Understanding, Capture and Animation 2007
Place of Event: Rio de Janeiro, Brazil
Start-/End Date: 2007-10-20 - 2007-10-20

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Title: Human Motion – Understanding, Modeling, Capture and Animation
  Subtitle : Second Workshop, Human Motion 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
Source Genre: Series
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Pages: - Volume / Issue: 4814 Sequence Number: - Start / End Page: - Identifier: -