SGE: structured light system based on Gray code with an event camera

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.

Authors

Publication Details

Journal
Optics Express
Published
2024-10-31
DOI
https://doi.org/10.1364/oe.538396
Citations
7
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
2.44
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article

SGE: structured light system based on Gray code with an event camera

Diyang Gu, Kaiwei Wang, Xingyu Lu, Lei Sun
7 citations
Optics Express
Advanced Data Storage Technologies
2.44
article

SGE: structured light system based on Gray code with an event camera

Diyang Gu, Kaiwei Wang, Xingyu Lu, Lei Sun
article en
7 citations

Abstract

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.

Optics ExpressVol. 32(26)
Openalex Percentile: Top 10%
Advanced Data Storage Technologies
2.44
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