Cyclic Generative Neural Networks for Improved Face Recognition in Nonstandard Domains
A system of methods for improving the quality of face recognition from infrared images is described. For testing the recognition algorithm in a multidomain environment, a database of ordinary and infrared face images is collected. An algorithm based on cyclic generative neural networks is developed....
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| Vydané v: | Journal of computer & systems sciences international Ročník 57; číslo 4; s. 620 - 625 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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Moscow
Pleiades Publishing
01.07.2018
Springer Nature B.V |
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| ISSN: | 1064-2307, 1555-6530 |
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| Abstract | A system of methods for improving the quality of face recognition from infrared images is described. For testing the recognition algorithm in a multidomain environment, a database of ordinary and infrared face images is collected. An algorithm based on cyclic generative neural networks is developed. This algorithm makes it possible to transform images from the color domain into the infrared domain, which significantly increases the size of the training sample. It is shown that fine-tuning the recognition algorithm using the generated infrared images improves the recognition result on the test sample. |
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| AbstractList | A system of methods for improving the quality of face recognition from infrared images is described. For testing the recognition algorithm in a multidomain environment, a database of ordinary and infrared face images is collected. An algorithm based on cyclic generative neural networks is developed. This algorithm makes it possible to transform images from the color domain into the infrared domain, which significantly increases the size of the training sample. It is shown that fine-tuning the recognition algorithm using the generated infrared images improves the recognition result on the test sample. |
| Author | Grinchuk, O. V. Tsurkov, V. I. |
| Author_xml | – sequence: 1 givenname: O. V. surname: Grinchuk fullname: Grinchuk, O. V. email: oleg.grinchuk@phystech.edu organization: Moscow Institute of Physics and Technology – sequence: 2 givenname: V. I. surname: Tsurkov fullname: Tsurkov, V. I. organization: Dorodnicyn Computing Center, Federal Research Center Computer Science and Control, Russian Academy of Sciences |
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| Cites_doi | 10.1016/j.patrec.2005.10.010 10.1134/S1064230716020052 10.1134/S1064230706060116 10.1007/s11042-009-0417-2 10.1134/S1064230709020129 |
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| DOI | 10.1134/S1064230718040093 |
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| SubjectTerms | Algorithms Control Engineering Face recognition Facial recognition technology Image quality Infrared imagery Mechatronics Neural networks Object recognition Pattern Recognition and Image Processing Robotics |
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| Title | Cyclic Generative Neural Networks for Improved Face Recognition in Nonstandard Domains |
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