3D reconstruction of human bodies from single-view and multi-view images: A systematic review

3D reconstruction of human bodies remains an important research issue in computer vision. It is a fundamental resource for many everyday applications, including in the entertainment industry (animation), human-computer interaction, medical diagnosis, and, more recently, virtual reality. In recent years, several researchers have proposed multiple approaches for 3D reconstruction of human bodies from images. This article aims to display a systematic review of the different methods developed for 3D reconstruction of human bodies from single or multiple images. With this work, we intend to explore and categorize the different methods of 3D reconstruction of human bodies, making a comparison and then a discussion between the approaches. For that, articles published between 2016 and 2023 were analyzed. A total of 3325 publications were identified in the specified databases, and after a detailed analysis, only 70 were reviewed for this systematic literature review. Based on the analysis performed, it is concluded that it is possible to categorize human 3d reconstruction methods into two principal groups that are divided according to their theoretical category or based on the 3D representation used as output. However, more research should be done on human inference to overcome existing limitations and generate more accurate and detailed models.