A methodology for realistic human shape reconstruction from 2D images

• Published in: Multimedia tools and applications Vol. 83; no. 21; pp. 61025 - 61046
• Main Authors: Curbelo, Jesus P., Spiteri, Raymond J.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2024; Springer Nature B.V
• Subjects: Accuracy; Artificial neural networks; Body measurements; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Image reconstruction; Medical imaging; Methodology; Multilayer perceptrons; Multimedia Information Systems; Special Purpose and Application-Based Systems; Track 6: Computer Vision for Multimedia Applications; Training; Deep learning; Human body reshaping; Anthropometric measurements; Body silhouettes benchmark

This article presents a methodology for realistic human shape reconstruction from 2D images. The methodology involves adapting a state-of-the-art 3D human reshaping model and validating it on second the Anthropometric Survey of US Army Personnel (ANSUR II) data. A benchmark database of over 12,000 f...