The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Face sketch synthesis and recognition
Abstract
We propose a novel face photo retrieval system using sketch drawings. By transforming a photo image into a sketch, we reduce the difference between photo and sketch significantly, thus allow effective matching between the two. To improve the synthesis performance, we separate shape and texture information in a face photo, and conduct transformation on them respectively. Finally a Bayesian classifier is used to recognize the probing sketch from the synthesized pseudo-sketches. Experiments on a data set containing 606 people clearly demonstrate the efficacy of the algorithm.
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Cites
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Cootes, T. F., Edwards, G. J., & Taylor, C. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927467 · Cited by 5,409
Cited by
Wang, S., Zhang, L., Liang, Y., & Pan, Q. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6247930 · Cited by 532
Dual-space linear discriminant analysis for face recognition
Wang, X., & Tang, X. (2004) · Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. · doi:10.1109/cvpr.2004.1315214 · Cited by 444
Self-citationCoupled information-theoretic encoding for face photo-sketch recognition
Zhang, W., Wang, X., & Tang, X. (2011) · CVPR 2011 · doi:10.1109/cvpr.2011.5995324 · Cited by 403
Self-citationA Nonlinear Approach for Face Sketch Synthesis and Recognition
Liu, Q., Tang, X., Jin, H., Lu, H., & Ma, S. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.39 · Cited by 357
Self-citationWasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition
He, R., Wu, X., Sun, Z., & Tan, T. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2842770 · Cited by 317
Metadata
- Authors
- Tang, X., & Wang, X.
- Venue
- Proceedings Ninth IEEE International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 2003
- Pages
- 687-694 vol.1
- OpenAlex
- W2121604810
- Cited by
- 281
- References
- 2
- FWCI
- 2.96
- Type
- conference paper
- 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).
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