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Recognition of blurred faces using Local Phase Quantization
Abstract
In this paper, recognition of blurred faces using the recently introduced Local Phase Quantization (LPQ) operator is proposed. LPQ is based on quantizing the Fourier transform phase in local neighborhoods. The phase can be shown to be a blur invariant property under certain commonly fulfilled conditions. In face image analysis, histograms of LPQ labels computed within local regions are used as a face descriptor similarly to the widely used Local Binary Pattern (LBP) methodology for face image description. The experimental results on CMU PIE and FRGC 1.0.4 datasets show that the LPQ descriptor is highly tolerant to blur but still very descriptive outperforming LBP both with blurred and sharp images.
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Cites
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
Cited by
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Adjabi, I., Ouahabi, A., Benzaoui, A., & Taleb-Ahmed, A. (2020) · Electronics · doi:10.3390/electronics9081188 · Cited by 560
Robust Face Recognition via Multimodal Deep Face Representation
Ding, C., & Tao, D. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2477042 · Cited by 449
Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition
Ding, C., & Tao, D. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2700390 · Cited by 441
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition
Ding, C., Choi, J., Tao, D., & Davis, L. S. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2462338 · Cited by 381
Kaplan, E., Ekinci, T., Kaplan, S., Barua, P. D., Dogan, S., Tuncer, T., Tan, R.-S., Arunkumar, N., & Acharya, U. R. (2022) · Contrast Media & Molecular Imaging · doi:10.1155/2022/6034971 · Cited by 16
Metadata
- Authors
- Ahonen, T., Rahtu, E., Ojansivu, V., & Heikkila, J.
- Venue
- 2008 19th International Conference on Pattern Recognition
- Publisher
- IEEE
- Published
- 2008-12
- Pages
- 1-4
- ISSN
- 1041-3278 (ISSN-L)
- 1051-4651
- OpenAlex
- W2167260591
- Cited by
- 301
- References
- 1
- FWCI
- 5.08
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ahonen, T., Rahtu, E., Ojansivu, V., & Heikkila, J. (2008). Recognition of blurred faces using Local Phase Quantization. 2008 19th International Conference on Pattern Recognition. https://doi.org/10.1109/icpr.2008.4761847
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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.
