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Automatic Estimation for Parameters of Image Projective Transforms Based on Object-Invariant Cores

  • Vadim Lutsiv
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 73)

Abstract

A lot of efforts were addressed to developing the affine-invariant image descriptions. At the same time, development of projective-invariant sets of features still remains the open problem. An opposite approach to automatic recognition of images with geometric transforms is proposed in this chapter. The images are transformed to object-invariant form, in which all generic-specific features are suppressed while the parameters of geometric transform are still preserved. Then the parameters of geometric transform of image are estimated by means of comparison of its object-invariant description with a template form common for all classes of objects. The estimated geometric transforms can be then compensated, and the image can be recognized by any pattern recognition techniques. The presented theoretical development is also proven by computer simulation, and the reached theoretical results are compared with the ones reached by other authors. Several examples of practical application of developed theory are also presented.

Keywords

Image recognition Affine transform Projective transform Transformation parameters Object-invariant core 

Notes

Acknowledgments

This work was partially financially supported by the Government of Russian Federation, Grant 074-U01.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Vavilov State Optical InstituteSt. PetersburgRussian Federation
  2. 2.National Research University of Information Technologies, Mechanics and OpticsSt. PetersburgRussian Federation

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