The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Performance animation from low-dimensional control signals
Abstract
This paper introduces an approach to performance animation that employs video cameras and a small set of retro-reflective markers to create a low-cost, easy-to-use system that might someday be practical for home use. The low-dimensional control signals from the user's performance are supplemented by a database of pre-recorded human motion. At run time, the system automatically learns a series of local models from a set of motion capture examples that are a close match to the marker locations captured by the cameras. These local models are then used to reconstruct the motion of the user as a full-body animation. We demonstrate the power of this approach with real-time control of six different behaviors using two video cameras and a small set of retro-reflective markers. We compare the resulting animation to animation from commercial motion capture equipment with a full set of markers.
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Cites
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Capturing the human figure through a wall
Adib, F., Hsu, C.-Y., Mao, H., Katabi, D., & Durand, F. (2015) · ACM Transactions on Graphics · doi:10.1145/2816795.2818072 · Cited by 443
Huang, Y., Kaufmann, M., Aksan, E., Black, M. J., Hilliges, O., & Pons-Moll, G. (2018) · ACM Transactions on Graphics · doi:10.1145/3272127.3275108 · Cited by 342
Real-time data driven deformation with affine bones
Kim, B.-U., Feng, W.-W., & Yu, Y. (2010) · The Visual Computer · doi:10.1007/s00371-010-0474-6 · Cited by 6
Domain-Adaptive Online Active Learning for Real-Time Intelligent Video Analytics on Edge Devices
Boldo, M., De Marchi, M., Martini, E., Aldegheri, S., & Bombieri, N. (2024) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2024.3453188 · Cited by 4
Metadata
- Authors
- Chai, J., & Hodgins, J. K.
- Venue
- ACM Transactions on Graphics
- Published
- 2005-07
- Volume
- 24
- Issue
- 3
- Pages
- 686-696
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W1982905909
- Cited by
- 342
- References
- 48
- FWCI
- 50.22
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.