Presentation + Paper
13 May 2019 High dynamic range 3D shape measurement based on multispectral imaging
Author Affiliations +
Abstract
High-speed and high-accuracy three-dimensional (3D) measurement plays an important role in numerous areas. The recent proposed binary defocusing techniques have enabled the speed breakthrough by utilizing 1-bit binary fringe patterns with the advanced digital light processing (DLP) projection platform. To enhance the phase quality and measurement accuracy, extensive research has also been conducted to modulate and optimize the binary patterns spatially or temporally. However, it remains challenging for such techniques to measure objects with high dynamic range (HDR) of surface reflectivity. Therefore, to overcome this problem, this paper proposes a novel HDR 3D measurement method based on spectral modulation and multispectral imaging. By modulating the illumination light and acquiring the fringe patterns with a multispectral camera, high-contrast HDR fringe imaging and 3D measurement can be achieved. Experiments were carried out to demonstrate the effectiveness of the proposed strategy.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yajun Wang, Yi Zheng, Vignesh Suresh, and Beiwen Li "High dynamic range 3D shape measurement based on multispectral imaging", Proc. SPIE 10991, Dimensional Optical Metrology and Inspection for Practical Applications VIII, 109910M (13 May 2019); https://doi.org/10.1117/12.2518784
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KEYWORDS
High dynamic range imaging

3D metrology

Modulation

Cameras

Optical filters

Binary data

Phase shifts

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