Subspace-Based Face Recognition in Analog VLSI

@inproceedings{Carvajal2007SubspaceBasedFR,
  title={Subspace-Based Face Recognition in Analog VLSI},
  author={Gonzalo Carvajal and Waldo Valenzuela and Miguel Figueroa},
  booktitle={NIPS},
  year={2007}
}
We describe an analog-VLSI neural network for face recognition based on subspace methods. The system uses a dimensionality-reduction network whose coefficients can be either programmed or learned on-chip to perform PCA, or programmed to perform LDA. A second network with userprogrammed coefficients performs classification with Manhattan distances. The system uses on-chip compensation techniques to reduce the effects of device mismatch. Using the ORL database with 12x12-pixel images, our circuit… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Face recognition using eigenfaces

View 4 Excerpts
Highly Influenced

Adaptive signal processing in mixed-signal VLSI with anti-Hebbian learning

IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures (ISVLSI'06) • 2006
View 2 Excerpts

A principal component neural network-based face recognition system and ASIC implementation

18th International Conference on VLSI Design held jointly with 4th International Conference on Embedded Systems Design • 2005
View 2 Excerpts

Kriegman . Eigenfaces vs . Fisherfaces : Recognition Using Class Specific Linear Projection "

B. E. Flinchbaugh A. U. Batur, M. H. Hayes IIl
IEEE Transactions on Pattern Analysis and Machine Intelligence • 1997

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