Towards Unified Structured Light Optimization

• URL: http://arxiv.org/abs/2501.14659v1
• Date: Fri, 24 Jan 2025 17:29:17 GMT
• Title: Towards Unified Structured Light Optimization
• Authors: Tinglei Wan, Tonghua Su, Zhongjie Wang,
• Abstract summary: Structured light (SL) 3D reconstruction captures the precise surface shape of objects. We present a unified framework for SL optimization, adaptable to diverse lighting conditions, object types, and different types of SL. Key contributions include a novel global matching method for projectors, enabling precise projector-camera alignment with just one projected image.
• Score: 2.4823372746556442
• License:
• Abstract: Structured light (SL) 3D reconstruction captures the precise surface shape of objects, providing high-accuracy 3D data essential for industrial inspection and robotic vision systems. However, current research on optimizing projection patterns in SL 3D reconstruction faces two main limitations: each scene requires separate training of calibration parameters, and optimization is restricted to specific types of SL, which restricts their application range. To tackle these limitations, we present a unified framework for SL optimization, adaptable to diverse lighting conditions, object types, and different types of SL. Our framework quickly determines the optimal projection pattern using only a single projected image. Key contributions include a novel global matching method for projectors, enabling precise projector-camera alignment with just one projected image, and a new projection compensation model with a photometric adjustment module to reduce artifacts from out-of-gamut clipping. Experimental results show our method achieves superior decoding accuracy across various objects, SL patterns, and lighting conditions, significantly outperforming previous methods.

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