Snapshot 3D and texture imaging with structured illumination

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Authors: zhipeng dong, Pin-Duan Huang, Xiao Wang, David J. Brady, Ching-Cherng Sun
Cited by: 1
References: 9

Abstract

We demonstrate a snapshot 3D and texture imaging method based on structured illumination. A calibrated projector-camera system is modeled using a differentiable projector-camera image formation model, enabling physics-guided, unsupervised learning to jointly recover 3D surface geometry and RGB reflectance from a single captured image. Experimental results show good agreement with conventional structured-light reconstruction, achieving millimeter-level depth accuracy consistent with triangulation-based resolution analysis. This method offers a promising solution for applications such as autonomous vehicle navigation and industrial metrology.

Fields of Study & Subjects

Image Processing Techniques and Applications Optical measurement and interference techniques Cell Image Analysis Techniques

Publication details

Journal / source
Optics Express
Publisher
Optica Publishing Group
Volume
34
Issue
9
Pages
17125–17125
Publication date
23 April 2026
Language
EN