CORRESPONDENCE MATCHING IN 3D MODELS FOR 3D HAND FITTING

Maksym Tymkovych; Oleg Avrunin; Karina Selivanova; Alona Kolomiiets; Taras Bednarchyk; Saule Smailova

doi:10.35784/iapgos.5498

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Published: Mar 31, 2024

DOI: https://doi.org/10.35784/iapgos.5498

Issue Vol. 14 No. 1 (2024)

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DOI

https://doi.org/10.35784/iapgos.5498

Authors

Maksym Tymkovych

maksym.tymkovych@nure.ua

Kharkiv National University of Radio Electronics, Ukraine

https://orcid.org/0000-0001-5613-1104

Oleg Avrunin

oleh.avrunin@nure.ua

Kharkiv National University of Radio Electronics, Ukraine

https://orcid.org/0000-0002-6312-687X

Karina Selivanova

karina.selivanova@nure.ua

Kharkiv National University of Radio Electronics, Ukraine

https://orcid.org/0000-0003-1002-0761

Alona Kolomiiets

alona.kolomiets.vnt@gmail.com

Vinnytsia National Technical University, Ukraine

https://orcid.org/0000-0002-7665-6247

Taras Bednarchyk

taras2010.2017@gmail.com

Vinnytsia Pyrohov National Medical University, Ukraine

https://orcid.org/0000-0003-2336-4635

Saule Smailova

Saule_Smailova@mail.ru

D.Serikbayev East Kazakhstan State Technical University, Kazakhstan

https://orcid.org/0000-0002-8411-3584

Abstract

Upper limb prosthetic is an area of medical research and development that aims to restore functionality and improve the quality of life of people affected by the loss of one or both upper limbs. The development and implementation of 3D scanning tools and analysis of 3D scanning data requires the use of specialized analysis methods that ensure the achievement of the required indicators. It should take into account the impact of the model resolution on the result. This paper is devoted to the analysis of finding matches between a point cloud of a hand model and another point cloud using Gromov-Wasserstein distance. For analysis, a subset of the MANO dataset was employed, containing a substantial volume of data and serving as a representative sample of the human population. The results obtained indicate the possibility of using this approach in the processing and analysis of three-dimensional data, which serves as one of the stages of designing individualized prostheses.

Keywords:

health care, medical technology, physical rehabilitation, 3D modeling, correspondence matching

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Tymkovych, M., Avrunin, O., Selivanova, K., Kolomiiets, A., Bednarchyk, T., & Smailova, S. (2024). CORRESPONDENCE MATCHING IN 3D MODELS FOR 3D HAND FITTING. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(1), 78–82. https://doi.org/10.35784/iapgos.5498

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