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Free-viewpoint video of human actors
Abstract
In free-viewpoint video, the viewer can interactively choose his viewpoint in 3-D space to observe the action of a dynamic real-world scene from arbitrary perspectives. The human body and its motion plays a central role in most visual media and its structure can be exploited for robust motion estimation and efficient visualization. This paper describes a system that uses multi-view synchronized video footage of an actor's performance to estimate motion parameters and to interactively re-render the actor's appearance from any viewpoint.The actor's silhouettes are extracted from synchronized video frames via background segmentation and then used to determine a sequence of poses for a 3D human body model. By employing multi-view texturing during rendering, time-dependent changes in the body surface are reproduced in high detail. The motion capture subsystem runs offline, is non-intrusive, yields robust motion parameter estimates, and can cope with a broad range of motion. The rendering subsystem runs at real-time frame rates using ubiquous graphics hardware, yielding a highly naturalistic impression of the actor. The actor can be placed in virtual environments to create composite dynamic scenes. Free-viewpoint video allows the creation of camera fly-throughs or viewing the action interactively from arbitrary perspectives.
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Cited by
Vision-based human motion analysis: An overview
Poppe, R. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.10.016 · Cited by 835
HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video
Weng, C.-Y., Curless, B., Srinivasan, P. P., Barron, J. T., & Kemelmacher-Shlizerman, I. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.01573 · Cited by 452
High-quality video view interpolation using a layered representation
Zitnick, C. L., Kang, S. B., Uyttendaele, M., Winder, S., & Szeliski, R. (2004) · ACM SIGGRAPH 2004 Papers · doi:10.1145/1186562.1015766 · Cited by 367
Background subtraction in real applications: Challenges, current models and future directions
Garcia-Garcia, B., Bouwmans, T., & Rosales Silva, A. J. (2020) · Computer Science Review · doi:10.1016/j.cosrev.2019.100204 · Cited by 337
Neural Rendering and Reenactment of Human Actor Videos
Liu, L., Xu, W., Zollhöfer, M., Kim, H., Bernard, F., Habermann, M., Wang, W., & Theobalt, C. (2019) · ACM Transactions on Graphics · doi:10.1145/3333002 · Cited by 163
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Metadata
- Authors
- Carranza, J., Theobalt, C., Magnor, M. A., & Seidel, H.-P.
- Venue
- ACM Transactions on Graphics
- Published
- 2003-07
- Volume
- 22
- Issue
- 3
- Pages
- 569-577
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2153903029
- Cited by
- 403
- References
- 0
- FWCI
- 41.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Carranza, J., Theobalt, C., Magnor, M. A., & Seidel, H.-P. (2003). Free-viewpoint video of human actors. ACM Transactions on Graphics. https://doi.org/10.1145/882262.882309
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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