Work

Non-Line-of-Sight 3D Object Reconstruction via mmWave Surface Normal Estimation

Year: 2025

Type: conference-paper

Abstract: This paper presents the design, implementation, and evaluation of mmNorm, a new and highly-accurate method for non-line-of-sight 3D object reconstruction using millimeter wave (mmWave) signals. In contrast to past approaches for millimeter-wave-based imaging that perform backprojection for 3D object reconstruction, mmNorm reconstructs the surface by estimating the object's surface normals. To do this, it introduces a novel algorithm that directly estimates the surface normal vector field from mmWave reflections. By then inverting the normal field, it can reconstruct structural isosurfaces, then solve for the exact surface through a novel mmWave optimization framework.

Source: International Conference on Mobile Systems, Applications, and Services

DOI: 10.1145/3711875.3729138

Authors: Laura Dodds, Tara Boroushaki, Kaichen Zhou, Fadel Adib

Institution: Massachusetts Institute of Technology

Language: English

Topic: 3D Shape Modeling and Analysis

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, MIT Media Lab

Award: Collaborative Research: CPS: Medium: Robotic Perception and Manipulation via Full-Spectral Wireless Sensing