Abstract
Recovering three-dimensional human geometry from electromagnetic measure?ments in a complex static environment is difficult because strong multipath responses from walls, floors, and other objects obscure the weak target per?turbation. We propose R1A-PC, a physics-guided method that reconstructs a 2048-point human cloud from paired complex fields measured with and without the target. Complex background subtraction emphasizes target-induced ampli?tude and phase changes, while the background field remains available as an environmental condition. A frequency-balanced discrete Born adjoint produces a three-dimensional spatial knowledge map. At each of two bounded deformation stages, the decoder combines complex measurement features, background fea?tures, and multiscale physical features queried at the current point coordinates; the second stage queries again after the first coordinate update. We analyze the residual of paired subtraction, the weighted normal-operator structure of the raw adjoint, and the feasible set of the predicted cloud. In a held-out background generated by full-wave simulation under a fixed acquisition geometry, R1A-PC obtains a squared Chamfer distance of 0.001434 m2 and an F-score of 0.963080 at 0.05 m. Compared with TopNet, the Chamfer distance decreases by 70.28%. Removing physical guidance or background subtraction increases the Chamfer distance by 242.06% or 241.18%, respectively. Experiments across background layouts and poses support the complementary roles of paired subtraction and position-dependent adjoint features.
Keywords
Subject
Publication details
- Journal
- Not available
- Open access
- Green open access
Cite this article
APA 7
Yuan, X., Xu, R., Yang, J., & Sun, X. (2026). R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments. https://omanscience.com/en/articles/r1a-pc-physics-guided-electromagnetic-inversion-of-three-dimensional-human-point-clouds-in-complex-static-environments
MLA 9
Yuan, Xudong, et al. "R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments." https://omanscience.com/en/articles/r1a-pc-physics-guided-electromagnetic-inversion-of-three-dimensional-human-point-clouds-in-complex-static-environments.
Chicago (author–date)
Yuan, Xudong, Ruyun Xu, Jingtai Yang, and Xianzheng Sun. 2026. "R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments." https://omanscience.com/en/articles/r1a-pc-physics-guided-electromagnetic-inversion-of-three-dimensional-human-point-clouds-in-complex-static-environments.
Harvard
Yuan, X., Xu, R., Yang, J. and Sun, X. (2026) 'R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments', Available at: https://omanscience.com/en/articles/r1a-pc-physics-guided-electromagnetic-inversion-of-three-dimensional-human-point-clouds-in-complex-static-environments.
Vancouver
Yuan X, Xu R, Yang J, Sun X. R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments. https://omanscience.com/en/articles/r1a-pc-physics-guided-electromagnetic-inversion-of-three-dimensional-human-point-clouds-in-complex-static-environments
IEEE
X. Yuan, R. Xu, J. Yang, and X. Sun, "R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments," https://omanscience.com/en/articles/r1a-pc-physics-guided-electromagnetic-inversion-of-three-dimensional-human-point-clouds-in-complex-static-environments.