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.
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Acknowledgments
This work was partially financially supported by the Government of the Russian Federation, Grant 074-U01.
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Kukharev, G., Matveev, Y., Forczmański, P. (2016). An Approach to Improve Accuracy of Photo–to–Sketch Matching. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_44
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DOI: https://doi.org/10.1007/978-3-319-41501-7_44
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