Affiliations: [a] R&D Unit in Digital Services, Applications, and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, Portugal | [b] Escola de Ciências e Tecnologia, University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal | [c] Institute for Systems Engineering and Computers at Coimbra (INESC Coimbra), DEEC, Pólo II, 3030-290 Coimbra, Portugal | [d] Polytechnic of Leiria, 2411-901 Leiria, Portugal | [e] Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, Macedonia | [f] Superior School of Technology, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, Portugal | [g] Instituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, 3750-127 Águeda, Portugal
Abstract: Nowadays, the object’s volume is essential for monitoring any scene. Technological equipment is evolving, and mobile devices and other devices embed high-resolution cameras. The high-resolution cameras open a window for different research studies, where the volume measurement is vital for different areas. This study aims to identify image processing techniques for measuring the object’s volume. Thus, a systematic review was performed with a Natural Language Processing (NLP)-based framework for identifying studies between 2010 and 2023 related to the measurement of object volume. As a result of this search, this paper reviewed and analyzed 25 studies, verifying that different computer vision methods accurately handle object recognition. Additionally, an evaluation of the databases presented by the studies above is performed to consider further the design of a new approach to infer the volume of objects from an image.
