# Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns

arXiv: https://arxiv.org/abs/1811.10771 · HTML: https://mlsanity.com/paper/1811.10771/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Nov 2018.

## Built on by (most cited first, 9 of 9)

- [ESL: Event-based Structured Light](https://mlsanity.com/paper/2111.15510/) (2021)
- [Single-Photon Structured Light](https://mlsanity.com/paper/2204.05300/) (2022)
- [SGE: Structured Light System Based on Gray Code with an Event Camera](https://mlsanity.com/paper/2403.07326/) (2024)
- [A Survey of 3D Reconstruction with Event Cameras](https://mlsanity.com/paper/2505.08438/) (2025)
- [EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes](https://mlsanity.com/paper/2512.00771/) (2025)
- [A Survey on Event-driven 3D Reconstruction: Development under Different Categories](https://mlsanity.com/paper/2503.19753/) (2025)
- [Structured light with a million light planes per second](https://mlsanity.com/paper/2411.18597/) (2024)
- [E-RGB-D: Real-Time Event-Based Perception with Structured Light](https://mlsanity.com/paper/2512.18429/) (2025)
- [Modelling dynamic systems transfer functions from events in computational neuromorphic imaging](https://mlsanity.com/paper/2609.29863/) (2026)

## Abstract (arXiv)

This paper presents a new method for 3D depth estimation using the output of an asynchronous time driven image sensor. In association with a high speed Digital Light Processing projection system, our method achieves real-time reconstruction of 3D points cloud, up to several hundreds of hertz. Unlike state of the art methodology, we introduce a method that relies on the use of frequency tagged light pattern that make use of the high temporal resolution of event based sensors. This approch eases matching as each pattern unique frequency allow for any easy matching between displayed patterns and the event based sensor. Results are show on real scenes.