LD-SLRO: Latent Diffusion Structured Light for 3-D Reconstruction of Highly Reflective Objects

• URL: http://arxiv.org/abs/2602.05434v1
• Date: Thu, 05 Feb 2026 08:24:38 GMT
• Title: LD-SLRO: Latent Diffusion Structured Light for 3-D Reconstruction of Highly Reflective Objects
• Abstract summary: We propose a latent diffusion-based structured light for reflective objects (LD-SLRO)<n>Phase-shifted fringe images captured from highly reflective surfaces are first encoded to extract latent representations that capture surface reflectance characteristics.<n>Results demonstrate that the proposed method improves both fringe quality and 3-D reconstruction accuracy over state-of-the-art methods.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Fringe projection profilometry-based 3-D reconstruction of objects with high reflectivity and low surface roughness remains a significant challenge. When measuring such glossy surfaces, specular reflection and indirect illumination often lead to severe distortion or loss of the projected fringe patterns. To address these issues, we propose a latent diffusion-based structured light for reflective objects (LD-SLRO). Phase-shifted fringe images captured from highly reflective surfaces are first encoded to extract latent representations that capture surface reflectance characteristics. These latent features are then used as conditional inputs to a latent diffusion model, which probabilistically suppresses reflection-induced artifacts and recover lost fringe information, yielding high-quality fringe images. The proposed components, including the specular reflection encoder, time-variant channel affine layer, and attention modules, further improve fringe restoration quality. In addition, LD-SLRO provides high flexibility in configuring the input and output fringe sets. Experimental results demonstrate that the proposed method improves both fringe quality and 3-D reconstruction accuracy over state-of-the-art methods, reducing the average root-mean-squared error from 1.8176 mm to 0.9619 mm.

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