3D reconstruction of structured light against texture interference based on feedback modulation projection method

Chenbo Shi; Tianyi Zhang; Chun Zhang; Zheng Qin; Xiangteng Zang; Changsheng Zhu

doi:10.1117/12.2691892

6 November 2023 3D reconstruction of structured light against texture interference based on feedback modulation projection method

Chenbo Shi, Tianyi Zhang, Chun Zhang, Zheng Qin, Xiangteng Zang, Changsheng Zhu

Author Affiliations +

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 129214P (2023) https://doi.org/10.1117/12.2691892
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

To enhance the measurement accuracy and robustness of 3D reconstruction systems for obtaining precise shape and position information of object surfaces, including resistance to texture interference, we propose an anti-interference structured light measurement system based on scene surface. This system addresses limitations in stripe-encoded structured light 3D measurement, such as abrupt surface reflectance changes and camera defocusing, while investigating methods for phase retrieval and surface reflectance-based phase compensation. By adjusting the projection modulation intensity of the projector, we control the intensity of the reflected light on the measurement surface, reducing the sensitivity of the camera defocusing blur coefficient to texture variations. We propose an adaptive modulation intensity adjustment method to minimize phase errors between neighboring pixels, enabling high-precision phase retrieval. Experimental results demonstrate that in simulated experiments, the root mean square errors before and after anti-interference processing are 0.2124 rad and 0.0371 rad, respectively. In real-world scenarios, the errors of different measured surfaces decrease by approximately 60%. Comparative experiments validate the effectiveness and feasibility of the proposed method, indicating a significant improvement in measurement accuracy. The method enhances the performance of the coded structured light in applications such as industrial measurement and precise sorting, exhibiting high robustness, accuracy, and anti-interference capabilities.

Citation Download Citation

Chenbo Shi, Tianyi Zhang, Chun Zhang, Zheng Qin, Xiangteng Zang, and Changsheng Zhu "3D reconstruction of structured light against texture interference based on feedback modulation projection method", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 129214P (6 November 2023); https://doi.org/10.1117/12.2691892

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KEYWORDS

Modulation

Phase shift keying

Cameras

Reflectivity

Structured light

Error analysis

Projection systems

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