The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
Abstract
Pose space deformation generalizes and improves upon both shape interpolation and common skeleton-driven deformation techniques. This deformation approach proceeds from the observation that several types of deformation can be uniformly represented as mappings from a pose space, defined by either an underlying skeleton or a more abstract system of parameters, to displacements in the object local coordinate frames. Once this uniform representation is identified, previously disparate deformation types can be accomplished within a single unified approach. The advantages of this algorithm include improved expressive power and direct manipulation of the desired shapes yet the performance associated with traditional shape interpolation is achievable. Appropriate applications include animation of facial and body deformation for entertainment, telepresence, computer gaming, and other applications where direct sculpting of deformations is desired or where real-time synthesis of a deforming model is required.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Neural networks for pattern recognition
(1994) · Choice Reviews Online · doi:10.5860/choice.31-5500 · Cited by 18,538
Free-form deformation of solid geometric models
Sederberg, T. W., & Parry, S. R. (1986) · ACM SIGGRAPH Computer Graphics · doi:10.1145/15886.15903 · Cited by 2,577
Blake, A., & Zisserman, A. (1987) · The MIT Press eBooks · doi:10.7551/mitpress/7132.001.0001 · Cited by 2,105
Radial basis functions for multivariable interpolation: a review
Powell, M. J. D. (1987) · Clarendon Press eBooks · Cited by 1,197
Feature-based image metamorphosis
Beier, T., & Neely, S. (1992) · Proceedings of the 19th annual conference on Computer graphics and interactive techniques · doi:10.1145/133994.134003 · Cited by 914
The future of interactive systems and the emergence of direct manipulation†
SHNEIDERMAN, B. (1982) · Behaviour & Information Technology · doi:10.1080/01449298208914450 · Cited by 548
Parameterized Models for Facial Animation
Parke (1982) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.1982.1674492 · Cited by 488
Direct manipulation of free-form deformations
Hsu, W. M., Hughes, J. F., & Kaufman, H. (1992) · Proceedings of the 19th annual conference on Computer graphics and interactive techniques · doi:10.1145/133994.134036 · Cited by 434
Joint-dependent local deformations for hand animation and object grasping
Magnenat‐Thalmann, N., Laperrière, R., & Magnenat‐Thalmann, N. (1988) · doi:10.20380/gi1988.04 · Cited by 405
Feature-based image metamorphosis
Beier, T., & Neely, S. (1992) · ACM SIGGRAPH Computer Graphics · doi:10.1145/142920.134003 · Cited by 400
Cited by
Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., & J, B. M. (2015) · ACM Transactions on Graphics · doi:10.1145/2816795.2818013 · Cited by 3,734
Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
Pavlakos, G., Choutas, V., Ghorbani, N., Bolkart, T., Osman, A. A., Tzionas, D., & Black, M. J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.01123 · Cited by 1,781
SCAPE: shape completion and animation of people
Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., & Davis, J. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073207 · Cited by 1,489
Romero (2017) · doi:10.1145/3130800.3130883 · Cited by 1,056
The space of human body shapes: reconstruction and parameterization from range scans
Allen, B., Curless, B., & Popović, Z. (2003) · ACM SIGGRAPH 2003 Papers · doi:10.1145/1201775.882311 · Cited by 913
Metadata
- Authors
- Lewis, J. P., Cordner, M., & Fong, N.
- Venue
- Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00
- Publisher
- ACM Press
- Published
- 2000
- Pages
- 165-172
- OpenAlex
- W1993962870
- Cited by
- 853
- References
- 28
- FWCI
- 45.72
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation. https://app.cochat.ai/papers/10.1145/344779.344862
- The paper
- Lewis, J. P., Cordner, M., & Fong, N. (2000). Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation. Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00. https://doi.org/10.1145/344779.344862
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.