Abstract
The three-dimensional measurement of structured light is commonly used and has widespread applications in many industries. In this study, machine learning is used for structured light 3D measurement to recover the phase distribution of the measured object by employing two machine learning models. Without phase shift, the measurement operational complexity and computation time decline renders real-time measurement possible. Finally, a grating-based structured light measurement system is constructed, and machine learning is used to recover the phase. The calculated phase of distribution is wrapped in only one dimension and not in two dimensions, as in other methods. The measurement error is observed to be under 1%.
Highlights
Structured light three-dimensional measurement technology is an active optical measurement technology with the characteristics of small volume, low price, and easy installation and maintenance [1].this technology exhibits a wide range of applications in actual industrial fields, such as vision inspection [2,3], face profilometry [4,5,6], and robots [7,8,9]
We considered the area of the lines 100–799 and columns 480–529 to calculate the phase distribution, which were arbitrary chosen
The machine learning method was used to recover the phase of the structured light reflected from the object
Summary
Structured light three-dimensional measurement technology is an active optical measurement technology with the characteristics of small volume, low price, and easy installation and maintenance [1].this technology exhibits a wide range of applications in actual industrial fields, such as vision inspection [2,3], face profilometry [4,5,6], and robots [7,8,9]. Structured light three-dimensional measurement technology is an active optical measurement technology with the characteristics of small volume, low price, and easy installation and maintenance [1]. The grating pattern is a structured light pattern, which is mostly used in structured light measurement, as it does not require scanning the whole surface unlike the point-structured light and line-structured light to obtain three-dimensional information. This is a remarkable advantage of surface structured light technology, which significantly improves the computational efficiency and renders real-time three-dimensional measurement possible.
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