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  MoSh: Motion and Shape Capture from Sparse Markers

Loper, M., Mahmood, N., & Black, M. J. (2014). MoSh: Motion and Shape Capture from Sparse Markers. ACM Transactions on Graphics, 33(6), 220:1-220-13. doi:10.1145/2661229.2661273.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-C4FB-E Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0025-B3B4-1
Genre: Zeitschriftenartikel

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 Urheber:
Loper, Matthew1, Autor           
Mahmood, Naureen1, Autor           
Black, Michael J.1, Autor           
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Schlagwörter: Abt. Black
 Zusammenfassung: Marker-based motion capture (mocap) is widely criticized as producing lifeless animations. We argue that important information about body surface motion is present in standard marker sets but is lost in extracting a skeleton. We demonstrate a new approach called MoSh (Motion and Shape capture), that automatically extracts this detail from mocap data. MoSh estimates body shape and pose together using sparse marker data by exploiting a parametric model of the human body. In contrast to previous work, MoSh solves for the marker locations relative to the body and estimates accurate body shape directly from the markers without the use of 3D scans; this effectively turns a mocap system into an approximate body scanner. MoSh is able to capture soft tissue motions directly from markers by allowing body shape to vary over time. We evaluate the effect of different marker sets on pose and shape accuracy and propose a new sparse marker set for capturing soft-tissue motion. We illustrate MoSh by recovering body shape, pose, and soft-tissue motion from archival mocap data and using this to produce animations with subtlety and realism. We also show soft-tissue motion retargeting to new characters and show how to magnify the 3D deformations of soft tissue to create animations with appealing exaggerations.

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 Datum: 2014-112014
 Publikationsstatus: Erschienen
 Seiten: 13
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1145/2661229.2661273
BibTex Citekey: Loper:SIGASIA:2014
 Art des Abschluß: -

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Titel: ACM Transactions on Graphics
Genre der Quelle: Zeitschrift
 Urheber:
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Ort, Verlag, Ausgabe: New York, NY : Association for Computing Machinery
Seiten: - Band / Heft: 33 (6) Artikelnummer: - Start- / Endseite: 220:1 - 220-13 Identifikator: ISSN: 0730-0301
CoNE: https://pure.mpg.de/cone/journals/resource/954925533022

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Titel: Proceedings of ACM SIGGRAPH 2014
  Kurztitel : ACM SIGGRAPH 2014
  Untertitel : Vancouver, BC, Canada
Genre der Quelle: Konferenzband
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: -