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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Face recognition by elastic bunch graph matching

Wiskott, L., Fellous, J.-M., Kuiger, N., von der Malsburg, C.·1997·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

We present a system for recognizing human faces from single images out of a large database containing one image per person. Faces are represented by labeled graphs, based on a Gabor wavelet transform. Image graphs of new faces are extracted by an elastic graph matching process and can be compared by a simple similarity function. The system differs from the preceding one (Lades et al., 1993) in three respects. Phase information is used for accurate node positioning. Object-adapted graphs are used to handle large rotations in depth. Image graph extraction is based on a novel data structure, the bunch graph, which is constructed from a small get of sample image graphs.

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Metadata

Authors
Wiskott, L., Fellous, J.-M., Kuiger, N., & von der Malsburg, C.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1997-07
Volume
19
Issue
7
Pages
775-779
ISSN
  • 0162-8828 (ISSN-L)
  • 2160-9292
OpenAlex
W2120954940
Cited by
2,883
References
4
FWCI
42.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Face recognition by elastic bunch graph matching. https://app.cochat.ai/papers/10.1109/34.598235
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Wiskott, L., Fellous, J.-M., Kuiger, N., & von der Malsburg, C. (1997). Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.598235

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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.