• Documents
  • Authors
  • Tables
  • Other Seers ▼
    RefSeer AckSeer CollabSeer SeerSeer
  • Log in
  • Sign up
  • MetaCart

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations | Disambiguate

Articulated Mesh Animation from Multi-view Silhouettes (2008)

Cached

  • Download as a PDF

Download Links

  • [people.csail.mit.edu]
  • [www.cs.jhu.edu]
  • [graphics.lcs.mit.edu]
  • [groups.csail.mit.edu]
  • [people.csail.mit.edu]
  • [graphics.lcs.mit.edu]
  • [graphics.csail.mit.edu]
  • [graphics.csail.mit.edu]
  • [people.csail.mit.edu]
  • [web.mit.edu]
  • [web.mit.edu]
  • [www.mit.edu]

  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Daniel Vlasic , Ilya Baran , Wojciech Matusik , Jovan Popović
Venue:ACM TRANSACTIONS ON GRAPHICS
Citations:42 - 4 self
  • Summary
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@MISC{Vlasic08articulatedmesh,
    author = {Daniel Vlasic and Ilya Baran and Wojciech Matusik and Jovan Popović},
    title = { Articulated Mesh Animation from Multi-view Silhouettes},
    year = {2008}
}

Bookmark

citeulike Connotea Bibsonomy Del.icio.us Digg Reddit

OpenURL

 

Abstract

Details in mesh animations are difficult to generate but they have great impact on visual quality. In this work, we demonstrate a practical software system for capturing such details from multi-view video recordings. Given a stream of synchronized video images that record a human performance from multiple viewpoints and an articulated template of the performer, our system captures the motion of both the skeleton and the shape. The output mesh animation is enhanced with the details observed in the image silhouettes. For example, a performance in casual loose-fitting clothes will generate mesh animations with flowing garment motions. We accomplish this with a fast pose tracking method followed by nonrigid deformation of the template to fit the silhouettes. The entire process takes less than sixteen seconds per frame and requires no markers or texture cues. Captured meshes are in full correspondence making them readily usable for editing operations including texturing, deformation transfer, and deformation model learning.

Citations

330 The digital Michelangelo project: 3D scanning of large statues - Levoy - 2000
260 H.: Discrete differential-geometry operators for triangulated 2-manifolds - MEYER, DESBRUN, et al. - 2003
239 SNOPT: An SQP algorithm for large-scale constrained optimization - Gill, Murray, et al. - 1997
189 A comparison and evaluation of multi-view stereo reconstruction algorithms - Seitz, Curless, et al.
135 Freeviewpoint video of human actors - Carranza, Theobalt, et al. - 2003
123 Deformation transfer for triangle meshes - Sumner, Popović - 2004
114 SCAPE: Shape Completion and Animation of People - Anguelov - 2005
113 POPOVIĆ Z.: Articulated body deformation from range scan data - ALLEN, CURLESS - 2002
61 Articulated Soft Objects for Video-based Body Modeling - PLÄNKERS, FUA - 2001
58 Differential coordinates for interactive mesh editing - Lipman, Sorkine, et al. - 2004
54 A convenient multicamera self-calibration for virtual environments. Presence: Teleoper. Virtual Environ - SVOBODA, MARTINEC, et al. - 2005
52 Differential coordinates for local mesh morphing and deformation. The Visual Computer - Alexa - 2003
52 F.: Silhouette and stereo fusion for 3D object modeling - Esteban, Schmitt
40 Automatic rigging and animation of 3D characters - Baran, Popović
40 Kanade T: Shape-From-Silhouette Across Time Part II: Applications to Human Modeling and Markerless Motion Tracking - Cheung, Baker
38 Capturing and animating skin deformation in human motion - PARK, HODGINS - 2006
35 Continuous capture of skin deformation - SAND, MCMILLAN, et al. - 2003
34 H.: Detailed human shape and pose from images - Balan, Sigal, et al.
33 Carved visual hulls for imagebased modeling - Furukawa, Ponce
26 T.: Virtualized reality: Constructing time-varying virtual worlds from real events - Rander, Narayanan, et al. - 1997
26 MAGNOR M.: Garment motion capture using color-coded patterns - SCHOLZ, STICH, et al.
25 Hierarchical Volumetric Multi-view Stereo Reconstruction of Manifold Surfaces based on Dual Graph Embedding - Hornung, Kobbelt - 2006
25 Surface capture for performance based animation - Starck, Hilton
25 Combining 2D feature tracking and volume reconstruction for online video-based human motion capture - Theobalt, Magnor, et al. - 2002
24 POPOVIĆ J.: Real-time enveloping with rotational regression - WANG, PULLI - 2007
21 D.: Capturing and animating occluded cloth - WHITE, CRANE, et al.
19 H.P.: Marker-less deformable mesh tracking for human shape and motion capture - Aguiar, Theobalt, et al.
17 T.: A markerless motion capture system to study musculoskeletal biomechanics: Visual hull and simulated annealing approach - Corazza, Mundermann, et al. - 2006
15 3d skeleton-based body pose recovery - Ménier, Boyer, et al. - 2006
13 H.P.: Seeing people in different light-joint shape, motion, and reflectance capture - Theobalt, Ahmed, et al.
12 Editing arbitrarily deforming surface animations - KIRCHER, GARLAND - 2006
11 GUSKOV I.: Extracting animated meshes with adaptive motion estimation - ANUAR
10 MAGNOR M.: Weighted minimal hypersurface reconstruction - GOLDLÜCKE, IHRKE, et al.
7 H.P.: Reconstructing human shape and motion from multi-view video. In: CVMP’05 - Aguiar, Theobalt, et al. - 2005
5 Visual Hull Construction Using Adaptive Sampling - Erol, Bebis, et al. - 2005
3 H.P.: Rapid animation of laserscanned humans - Aguiar, Theobalt, et al. - 2007
2 M3: marker-free model reconstruction and motion tracking from 3d voxel data - AGUIAR, THEOBALT, et al. - 2004
The National Science Foundation
  • About CiteSeerX
  • Submit Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2010 The Pennsylvania State University