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Digital Facial Anthropometry: Application and Implementation

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Abstract

It is examined how to use digital facial anthropometry for scientific and practical problems; from biometry up to its different applications including medicine, biology, genetics, pattern recognition, and criminalistics. The presented review includes a brief history of anthropometry (as a descriptive and comparative science, the subject of investigation of which is Homo sapiens) and its transformation into modern computer methods for facial anthropometry. Concepts on face morphotype and phenotype; problems on morphology and morphometry as a basic means of facial digital anthropometry; quantitative and qualitative methods for estimating facial characteristics and parameters; problems for searching for associations between gene patterns in the genome and a man’s facial features; problems for estimating facial attractiveness; correlation between facial anthropometry and “Chernov’s faces” and with cognitive computer graphics used in practical medicine; human facial phenomenon and the problems with emotions, sex, and psychical type recognition; special cases for recognizing facial images (FIs), and methods for their solutions in the frames of digital facial anthropometry and examples of its solution are presented in the paper. The prediction on the close correlation between facial anthropometry and the Internet of Things as a modern world surrounded by a person in the 21st century is determined.

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Notes

  1. Catalog of Anthropological Instruments GPM. available from http://antropolog-instrument.ru/?an=catalog, accessed at 15.12.2018.

  2. Automatic identification. Biometrical identification. Format for exchanging biometrical information. Part 5. Information on FIs. Moscow, Standardinform, 2006 on biometry in Part 5: “Information on Face Images”.

  3. https://opencv.org/license.html.

  4. https://dlib.net/license.html.

  5. According to the little lines in hexagram (hexagram “I Tsin”, available from https://ru.wikipedia.org/wiki/ hexagram_“I Tsin” access data 10.01.019.

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Authors and Affiliations

  1. St. Petersburg Electrotechnical University LETI, 197376, St. Petersburg, Russia

    G. A. Kukharev

  2. ITMO University, 197101, St. Petersburg, Russia

    N. Kaziyeva

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Correspondence to G. A. Kukharev or N. Kaziyeva.

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The presented paper does not contain our own investigations with people participation as objects of research and presents review results from open publications.

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Georgii Alexandrovich Kukharev was born in 1941 in Leningrad, where he graduated from school and institute. He was a Doctor of Science (1986) and Prof. (2006) of St. Petersburg Electrotechnical University LETI. In 1993–2018 he was Prof. in West Pomeranian University of Technology, Poland, Szczecin. In 2001–2003 he was research professor in Ecole Centrale de Lyon, France. In 2005–2006 he was research professor in Hanoi University (Vietnam). He is the author of more than 100 scientific studies, has 40 patents, and 10 monographs devoted to methods and means of digital procession for signals and images. Scopus ID: 18037842200, ORCID ID:0000-0003-2188-2172.

Nazym Kaziyeva was born in Uralsk, Republic Kazakhstan. She is holder of a Master’s degree (2012). She is postgraduate of ITMO University. She is co-author of more than 15 scientific studies and educational supplies. Current interests: biometry, face identification, voice technologies. Scopus ID: 57203633843, ORCID ID: 0000-0002-7559-1795

Translated by Yu. Zikeeva

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Kukharev, G.A., Kaziyeva, N. Digital Facial Anthropometry: Application and Implementation. Pattern Recognit. Image Anal. 30, 496–511 (2020). https://doi.org/10.1134/S1054661820030141

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  • DOI: https://doi.org/10.1134/S1054661820030141

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