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Robot vision as a problem of picture analysis optimization

Published online by Cambridge University Press:  09 March 2009

I. Y. Bereznaya  and
R. M. Granovskaya
I. Y. Bereznaya
Affiliation:
Mathematics Dept., Leningrad University, 198904 Petrodvorets, Leningrad (USSR)
R. M. Granovskaya
Affiliation:
Mathematics Dept., Leningrad University, 198904 Petrodvorets, Leningrad (USSR)
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Abstract

SUMMARY

Some principles of information processing in the right and left cerebral hemispheres are used to construct effective algorithms for the recognition of handwritten characters and for processing complex grey-level pictures, viz, photographs of human faces. These algorithms reduce to a considerable extent the exhaustive search for pixels being analysed. A quantitative estimate of the thus obtained gain is given.

Information

Type
Articles
Information
Robotica , Volume 4 , Issue 3 , July 1986 , pp. 189 - 192
Copyright
Copyright © Cambridge University Press 1986

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References

1.Granovskaya, R. and Bereznaya, I., “Experiments on human pattern recognition” a hierarchical sign-system approach” Pattern Recognition 12, No. 1, 17–26 (1980).CrossRefGoogle Scholar
2.Granovskaya, R., Bereznaya, I. and Grigorieva, A., Perception of Form and Forms of Perception (Lawrence Eribaum Associates, 1986).Google Scholar
3.Granovskaya, R. and Bereznaya, I., “Whole shape representation as a skeleton” Bionic Problems 30, 43–52 (1983) (Kharkov).Google Scholar
4.Granovskaya, R., Bereznaya, I. and Strakhovitch, E., “The effective algorithm of handwritten letters recognition” Problems of Information Processing (Leningrad University) 22, 73–81 (1985).Google Scholar
5.Bereznaya, I. and Strakhovitch, E., “Predicting a minimal portion of a handwritten letter for its recognition” Bionic Problems 33, 45–54 (1985) (Kharkov).Google Scholar
6.Andrievskaya, M., Bereznaya, I. and Granovskaya, R., “Face contour separation algorithm” Architecture and Software of Digital Systems (Moscow University) 61–71 (1984).Google Scholar
7.Fine, V., Modelling of Shapeforming (Nauka, Moscow, 1975).Google Scholar