Specular surfaces 3D measurement method based on the fusion of mono-phase measuring deflectometry and active tactile detection

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Huiran Hu, Aiguo Song
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引用次数: 0

Abstract

Specular surfaces present significant challenges for traditional 3D vision measurement techniques due to their strictly reflective properties. This paper proposes an innovative 3D reconstruction method for specular surfaces that combines monocular phase measuring deflectometry with robot active tactile detection. Mono-PMD captures surface gradient data through phase-shift patterns, while tactile sensors provide sparse, precise absolute height information. By fusing these data sources, the proposed method addresses PMD’s gradient-height ambiguity and the limited data density of tactile sensing, achieving accurate reconstruction of specular surfaces. Experimental results show that this method reduces RMS error by 34.6 % compared to the conventional PMD methods, achieving RMS errors as low as 0.0084 mm after radius fitting on concave and convex mirrors with radii of 100 mm and 200 mm. This fusion approach effectively eliminates the need for imaging agents, streamlining measurement processes, and enabling faster, more precise 3D reconstruction and positioning. The proposed method offers robust technical support for future interactions between robotic systems and high-reflective specular objects.
基于相位测量偏转法和主动触觉检测相融合的镜面三维测量方法
镜面由于其严格的反射特性,对传统的3D视觉测量技术提出了重大挑战。提出了一种将单眼相位测量偏转法与机器人主动触觉检测相结合的镜面三维重建方法。单pmd通过相移模式捕获表面梯度数据,而触觉传感器提供稀疏、精确的绝对高度信息。通过融合这些数据源,该方法解决了PMD的梯度-高度模糊性和触觉传感数据密度有限的问题,实现了镜面的精确重建。实验结果表明,与传统的PMD方法相比,该方法的均方根误差减小了34.6%,对半径分别为100 mm和200 mm的凹面镜进行半径拟合后的均方根误差可低至0.0084 mm。这种融合方法有效地消除了对显像剂的需求,简化了测量过程,并实现了更快、更精确的3D重建和定位。该方法为未来机器人系统与高反射镜面物体之间的交互提供了强大的技术支持。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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