Face Photo-Sketch Transformation and Population Generation
| Autor: | Georgy Kukharev, Andrei Oleinik |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
education.field_of_study
Computer science business.industry Population ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences Facial recognition system Sketch 010309 optics Transformation (function) Eigenface Face (geometry) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Single image education business |
| Zdroj: | Computer Vision and Graphics ISBN: 9783319464176 ICCVG |
| DOI: | 10.1007/978-3-319-46418-3_29 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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