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Face Photo-Sketch Transformation and Population Generation

  • Georgy Kukharev
  • Andrei Oleinik
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9972)

Abstract

The problem of the automatic recognition and processing of face photos and sketches is of significant importance for law enforcement applications. A photo-sketch transformation is a convenient way to reduce dissimilarities between a face sketch and a photo before employing one of the existing face recognition techniques. In this paper, we propose to generate a photo (sketch) population instead of a single image. This approach improves face recognition rate and reduces the effect of different appearance variations. The proposed method is based on the modified version of the Eigenface/Eigensketch approach. We carried out the experiments on the photo-sketch transformation and population generation. The obtained results confirm the capability of the proposed technique to transform sketches of various styles to photos and introduce an inter-population diversity that is sufficient to cover various face appearance deviations.

Keywords

Forensic sketch Face recognition Eigenface Eigensketch Face image population 

Notes

Acknowledgements

This work was partially financially supported by the Government of the Russian Federation, Grant 074-U01. The authors express their sincere appreciation to Yuri Matveev, Head of SIS Department for his critical remarks and advice that significantly improved this paper.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Saint Petersburg Electrotechnical University “LETI”St. PetersburgRussia
  2. 2.ITMO UniversitySt. PetersburgRussia

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