SGE: Structured Light System Based on Gray Code with an Event Camera
Not on the map. Why?
Abstract (arXiv)
Fast and accurate depth sensing has long been a significant research challenge. Event camera, as a device that quickly responds to intensity changes, provides a new solution for structured light (SL) systems. In this paper, we introduce Gray code into event-based SL systems for the first time. Our setup includes an event camera and a Digital Light Processing (DLP) projector, enabling depth estimation through high-speed projection and decoding of Gray code patterns. By employing Gray code for point matching in event-based SL system, our method is immune to timestamp noise, realizing high-speed depth estimation without loss of accuracy and spatial resolution. The binary nature of events and Gray code minimizes data redundancy, enabling us to fully utilize sensor bandwidth at 100%. Experimental results show that our approach achieves accuracy comparable to state-of-the-art scanning methods while surpassing them in data acquisition speed (up to 41 times improvement) without sacrificing accuracy and spatial resolution. Our proposed approach offers a highly promising solution for ultra-fast, real-time, and high-precision dense depth estimation.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 13 of its 59 references that are in the map. First posted on arXiv 12 Mar 2024.
Builds on
13 of 59 references.
References · 13
- 2019Event-based Vision: A Surveycited by 1,010
- 2019High Speed and High Dynamic Range Video with an Event Cameracited by 344
- 2018Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotioncited by 304
- 2018A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimationcited by 178
- 2017Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarioscited by 150
- 2021Event-Based Fusion for Motion Deblurring with Cross-modal Attentioncited by 112
- 2021Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Predictioncited by 88
- 2020Learning Monocular Dense Depth from Eventscited by 84
- 2021ESL: Event-based Structured Lightcited by 22
- 2018Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patternscited by 9
- 2024Temporal-Mapping Photography for Event Camerascited by 9
- 2023Improving Fast Auto-Focus with Event Polaritycited by 5
1 more
Built on by
Citing papers per year: 2025: 4; 2026: 1.
5 papers.
- 2025NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Resultscited by 16
- 2025Low-Light Image Enhancement using Event-Based Illumination Estimationcited by 12
- 2025EvDiff: Event-Based Video Reconstruction using One-Step Diffusion Modelscited by 0
- 2025E-RGB-D: Real-Time Event-Based Perception with Structured Lightcited by 0
- 2026Text-to-Image Generation for Projector-Camera System Registrationcited by 0
- 2026Text-to-Image Generation for Projector-Camera System Registration3 Jul 2026
- 2025E-RGB-D: Real-Time Event-Based Perception with Structured Light20 Dec 2025
- 2025EvDiff: Event-Based Video Reconstruction using One-Step Diffusion Models21 Nov 2025
- 2025NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results16 Apr 2025
- 2025Low-Light Image Enhancement using Event-Based Illumination Estimation13 Apr 2025