The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Face Recognition by Elastic Bunch Graph Matching*†
Abstract
Classification systems differ vastly in terms of the nature and origin of their knowledge about image variations. Systems in Artificial Intelligence and Computer Vision often stress specific designer-provided structures, for instance explicit models of three-dimensional objects or of the image-generation process, whereas Neural Network models tend to stress absorption of structure from examples with the help of statistical estimation techniques. Gabor wavelets are biologically motivated convolution kernels in the shape of plane waves restricted by a Gaussian envelope function. Some face recognition systems are based on user-defined face-specific features. Yuille, for example, represented eyes by a circle within an almond-shape and defined an energy function to optimize a total of 9 model parameters for matching it to an image. The manual definition of appropriate grid structures and the semiautonomous process of bunch graph acquisition will have to be replaced by a fully autonomous process.
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Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Olshausen, B. A., & Field, D. J. (1996) · Nature · doi:10.1038/381607a0 · Cited by 5,694
Computation of component image velocity from local phase information
Fleet, D. J., & Jepson, A. D. (1990) · International Journal of Computer Vision · doi:10.1007/bf00056772 · Cited by 1,085
Cited by
From few to many: illumination cone models for face recognition under variable lighting and pose
Georghiades, A. S., Belhumeur, P. N., & Kriegman, D. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927464 · Cited by 4,912
The CAS-PEAL large-scale chinese face database and baseline evaluations
Gao, W., Cao, B., Shan, S., Chen, X., Zhou, D., Zhang, X., & Zhao, D. (2008) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2007.909557 · Cited by 773
Kostinger, M., Wohlhart, P., Roth, P. M., & Bischof, H. (2011) · 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops) · doi:10.1109/iccvw.2011.6130513 · Cited by 715
Kotsia, I., & Pitas, I. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.884954 · Cited by 687
Zhang, Z., Lyons, M., Schuster, M., & Akamatsu, S. (2002) · Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.1998.670990 · Cited by 613
Metadata
- Authors
- Wiskott, L., Fellous, J.-M., Krüger, N., & von der Malsburg, C.
- Venue
- INTELLIGENT BIOMETRIC TECHNIQUES in FINGERPRINT and FACE RECOGNITION
- Publisher
- Routledge
- Published
- 2022-01-06
- Pages
- 355-396
- OpenAlex
- W2180187800
- Cited by
- 1,781
- References
- 3
- FWCI
- 6.46
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Wiskott, L., Fellous, J.-M., Krüger, N., & von der Malsburg, C. (2022). Face Recognition by Elastic Bunch Graph Matching*†. INTELLIGENT BIOMETRIC TECHNIQUES in FINGERPRINT and FACE RECOGNITION. https://doi.org/10.1201/9780203750520-11
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