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An Approach to Improve Accuracy of Photo–to–Sketch Matching

  • Georgy Kukharev
  • Yuri Matveev
  • Paweł Forczmański
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9730)

Abstract

The problem of automatically matching sketches to facial photos is discussed. The idea presented is based on generating a population of sketches which imitates sketches generated from verbal descriptions provided by a virtual group of witnesses in forensic practice. Structures of benchmark photo–sketch databases are presented that are intended to model and implement a face photo retrieval by a given sketch. A new component of these databases is a population of sketches that represents each separate class of original photos. In this case, the original sketch is transformed into such population and then within this population we find a sketch that is similar to the given sketch. We demonstrate results of experiments based on proposed methods for photo to sketch matching on CUFS and CUFSF databases.

Keywords

Facial photo Sketch Photo–to–sketch matching 

Notes

Acknowledgments

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

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Georgy Kukharev
    • 1
  • Yuri Matveev
    • 2
  • Paweł Forczmański
    • 1
  1. 1.West Pomeranian University of TechnologySzczecinPoland
  2. 2.ITMO UniversitySaint PetersburgRussia

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