Computational 3D Imaging with Position Sensors

Jeremy Klotz, Mohit Gupta, Aswin C. Sankaranarayanan
2/14/2026

Abstract

Underlying many structured light systems, especially those based on laser scanning, is a simple vision task: tracking a light spot. To accomplish this, scanners use conventional CMOS sensors to capture, transmit, and process millions of pixel measurements. This approach, while capable of achieving high-fidelity 3D scans, is wasteful in terms of (often scarce) sensing and computational resources. We present a structured light system based on position sensing diodes (PSDs), an unconventional sensing modality that directly measures the centroid of the spatial distribution of incident light, thus enabling high-resolution 3D laser scanning with a minimal amount of sensor data. We develop theory and computational algorithms for PSD-based structured light under a variety of light transport effects. We demonstrate the benefits of the proposed techniques using a hardware prototype on several real-world scenes, including optically-challenging objects with long-range interreflections and scattering.

DOISemantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{klotz2026computational,
  title  = {Computational 3D Imaging with Position Sensors},
  author = {Jeremy Klotz and Mohit Gupta and Aswin C. Sankaranarayanan},
  year   = {2026},
  doi    = {10.1109/ICCV51070.2023.00746},
  url    = {https://doi.org/10.1109/ICCV51070.2023.00746},
  journal = {ICCV 2023 2023}
}

Discussion