Methods of face photo-sketch comparison

Kukharev, Georgy; Buda, K.; Shchegoleva, Nadezhda

doi:10.1134/s1054661814010076

Cited by 8 publications

(7 citation statements)

References 6 publications

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“…This is the fact that became the starting point in [20,21] to generate a new set (population) of sketches for any given original sketch. The mechanism of generation of this specific sketch populations is rather simple that was demonstrated and confirmed by the results obtained for CUFS and CUFSF databases presented in [22,23].…”

Section: Fig 3 Photo and Sketches Based On Verbal Description Of Wisupporting

confidence: 76%

“…The assessment of obtained results is considerably difficult, as well as verification of the model of conducted experiments in the framework of metaanalysis. The state-of-art and problems mentioned above (approaches, solutions, results and their analysis) are presented in [22,23].…”

Section: Problems Of Photo-sketch Matchingmentioning

confidence: 99%

“…Different methods of making sketches in CUFS and CUFSF databases result in the effect when sketches are recognized using simple methods [22,23] with high performance (close to 100 %), while others are also recognized with the same simple methods but require precise matching of size and orientation of face areas in the plane XY. Unfortunately in [16] only cropped sketches of extremely poor quality (on resolution, size and texture) are accessible.…”

Section: What Sketch Databases Do We Need Today?mentioning

confidence: 99%

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Face photo retrieval based on sketches

Kukharev¹,

Shchegoleva²

2016

Computer Optics

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The paper deals with the problem of the automatic retrieval of face photos using sketch drawings based on the witness description. We propose new methods for the generation of a sketch population from the initial one to improve the performance of sketch-based photo image retrieval systems. The method based on the computation of an average sketch from the generated population has been applied to increase the index of similarity in sketch-photo pairs. It is shown that such sketches are more similar to the original photographic images and their use leads to good results. Results of the experiments on CUHK Face Sketch and CUHK Face Sketch FERET databases and open access databases of photo-sketches pairs are discussed.

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Section: Fig 3 Photo and Sketches Based On Verbal Description Of Wisupporting

confidence: 76%

Section: Problems Of Photo-sketch Matchingmentioning

confidence: 99%

Section: What Sketch Databases Do We Need Today?mentioning

confidence: 99%

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Face photo retrieval based on sketches

Kukharev¹,

Shchegoleva²

2016

Computer Optics

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“…Некоторые решения о том, как поступать в данном случае, приведены в работах [6,[9][10][11]. Исход-ная предпосылка для этих решений состоит в том, что по определению мы не знаем того фотопортрета, к которому принадлежит заданный нам скетч.…”

Section: проблемы сравнения фото-оригиналов и скетчейunclassified

“…Не будем «доказывать доказанное» о том, что новые (и относительно непростые) методы экстрак-ции признаков из исходных данных [4,5,10] позволяют решать задачи поиска оригинальных фото по заданным скетчам. А, наоборот, будем исходить из гипотезы о том, что улучшение ISSIM в паре «фото-скетч» в результате их предобработки, создают достаточные условия для решения поставленных задач поиска даже в рамках простых систем.…”

Section: эксперименты на данных базы Cufsunclassified