Abstract
In this paper, a real-time, dynamic three-dimensional (3D) shape reconstruction scheme based on the Fourier-transform profilometry (FTP) method is achieved with a short-wave infrared (SWIR) indium gallium arsenide (InGaAs) camera for monitoring applications in low illumination environments. A SWIR 3D shape reconstruction system is built for generating and acquiring the SWIR two-dimensional (2D) fringe pattern of the target. The depth information of the target is reconstructed by employing an improved FTP method, which has the advantages of high reconstruction accuracy and speed. The maximum error in depth for static 3D shape reconstruction is 1.15 mm for a plastic model with a maximum depth of 36 mm. Meanwhile, a real-time 3D shape reconstruction with a frame rate of 25 Hz can be realized by this system, which has great application prospects in real-time dynamic 3D shape reconstruction, such as low illumination monitoring. In addition, for real-time dynamic 3D shape reconstruction, without considering the edge areas, the maximum error in depth among all frames is 1.42 mm for a hemisphere with a depth of 35 mm, and the maximum error of the average of all frames in depth is 0.52 mm.
Highlights
The three-dimensional (3D) shape reconstruction technique can reconstruct actual 3D targets, which can be divided into contact type and non-contact type [1]
Background fringe pattern from the image of 2D deformed fringe pattern without capturing a new image, which indicates that the real-time dynamic 3D shape reconstruction can obtain satisfactory reconstruction results with higher speed
Since the active light source can only illuminate one side of the pendulum ball, result obtained by reconstruction is a hemisphere with a depth of 35 mm, accuracy alsoaccuracy carried the real-time dynamic reconstruction is a hemisphere with the a depth of 35evaluation mm, thenisthe out on the hemisphere
Summary
The three-dimensional (3D) shape reconstruction technique can reconstruct actual 3D targets, which can be divided into contact type and non-contact type [1]. The passive optical 3D shape reconstruction technique does not introduce active light source for illumination, rather, it uses computer vision to extract 3D features of targets from image shadows, textures, and contours in most cases. The structured illumination 3D shape reconstruction technique becomes more important and is widely used, which is an active spatial modulation optical 3D shape reconstruction technique [8,9] This kind of technique designs different types of structured light and projects the structured light onto the surface of the target in different ways. The improved FTP method has the advantages of reducing the error ratio during phase unwrapping process and extracting 2D background fringe pattern from the image of 2D deformed fringe pattern without capturing a new image, which indicates that the real-time dynamic 3D shape reconstruction can obtain satisfactory reconstruction results with higher speed. Accuracy evaluations of the system for static and real-time dynamic 3D shape reconstruction are given as well
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