Abstract
Determining and tracking the location of specific points of real objects in space is not an easy task. Nowadays, this task is performed by artificial deep neural networks. Various methods and techniques have been competing with each other in recent years. Most of them do it effectively and with a satisfactory result. The success of such solutions is associated with long-term learning and a large amount of training material. The following article should answer the question whether and how the selected tool affects the results obtained. Several approaches to solving the problem using different technologies are presented. The material was verified for a selected group of photos of children in the first weeks of life.
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Mrozek, A. et al. (2022). Comparative Analysis of Selected Methods of Identifying the Newborn’s Skeletal Model. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2022. Advances in Intelligent Systems and Computing, vol 1429. Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_28
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