The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach
Abstract
In this paper, we present the computational tools and a hardware prototype for 3D face recognition. Full automation is provided through the use of advanced multistage alignment algorithms, resilience to facial expressions by employing a deformable model framework, and invariance to 3D capture devices through suitable preprocessing steps. In addition, scalability in both time and space is achieved by converting 3D facial scans into compact metadata. We present our results on the largest known, and now publicly available, Face Recognition Grand Challenge 3D facial database consisting of several thousand scans. To the best of our knowledge, this is the highest performance reported on the FRGC v2 database for the 3D modality.
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Cites
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A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
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A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
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Cited by
Static and dynamic 3D facial expression recognition: A comprehensive survey
Sandbach, G., Zafeiriou, S., Pantic, M., & Yin, L. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.06.005 · Cited by 357
3D Face Recognition Using Simulated Annealing and the Surface Interpenetration Measure
Queirolo, C. C., Silva, L., Bellon, O. R. P., & Segundo, M. P. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.14 · Cited by 201
3D facial expression recognition using SIFT descriptors of automatically detected keypoints
Berretti, S., Ben Amor, B., Daoudi, M., & del Bimbo, A. (2011) · The Visual Computer · doi:10.1007/s00371-011-0611-x · Cited by 138
3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model
Nair, P., & Cavallaro, A. (2009) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2009.2017629 · Cited by 135
Objective 3D face recognition: Evolution, approaches and challenges
Smeets, D., Claes, P., Vandermeulen, D., & Clement, J. G. (2010) · Forensic Science International · doi:10.1016/j.forsciint.2010.03.023 · Cited by 90
Metadata
- Authors
- Kakadiaris, I. A., Passalis, G., Toderici, G., Murtuza, M. N., Lu, Y., Karampatziakis, N., & Theoharis, T.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2007-04
- Volume
- 29
- Issue
- 4
- Pages
- 640-649
- ISSN
- 0162-8828 (ISSN-L)
- 2160-9292
- OpenAlex
- W2166743687
- Cited by
- 445
- References
- 26
- FWCI
- 47.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Kakadiaris, I. A., Passalis, G., Toderici, G., Murtuza, M. N., Lu, Y., Karampatziakis, N., & Theoharis, T. (2007). Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2007.1017
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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.
