High-speed three-dimensional shape measurement using phase measurement profilometry without phase unwrapping

Abstract

In the fast three-dimensional (3-D) shape measurement, it is an important factor to use the least number of the fringe pattern to get 3-D shape measurement of arbitrary objects. Although one-shot technologies can use one-frame deformed fringe pattern to get the wrapped phase, they are easily affected by the surface property and suffer from poor spatial resolution. In addition to the process, phase unwrapping may affect the quality of absolute phase. This paper proposes a fast measurement method based on a phase measurement profilometry and stereo vision system. This method can reconstruct 3-D surface without phase unwrapping. Using original image matching constraint, a rough parallax is used in the phase matching. To resist the false matching, subpixel parallax optimization is used to reduce the matching errors. To detect the edge point of wrapped phase, the average phase is calculated. Experimental results verify the feasibility of the proposed method and it can measure complex objects without phase unwrapping.

Fast 3D Shape Measurement of Complex Objects Combining S-transform Profilometry and Sub-Pixel Refinement

“…By comparing data from Table.3, it can be found that the proposed method has the least errors which means the proposed method can acquire the best result compared with other methods. (2) Shiny objects measurement In our previous research [27], phase shifting profilometry with wrapped phase matching (PSP+WP) is proposed. However the measurement result of shiny object is easily affected.…”

“…In practice, the process of phase unwrapping will also increase measurement time. In our previous reference [27], we research the high-speed 3D shape measurement using wrapped phase. However, complex objects will affect the intensity of deformed fringe patterns and the accuracy of wrapped phase will be reduced, especially for discontiuous objects and shiny objects.…”

Three-dimensional reconstruction based on binocular structured light with an error point filtering strategy

“…However, the signal-to-noise ratio is low when measuring steep surfaces, and there are large shadowed areas, which cannot meet the measurement requirements of industrial scenes. Lu et al 17 also proposed a method based on phase shifting profilometry and stereo vision measurement systems. They used constraints from matched raw images to obtain a rough disparity and used subpixel disparity optimization to reduce matching errors.…”

“…However, the signal-to-noise ratio is low when measuring steep surfaces, and there are large shadowed areas, which cannot meet the measurement requirements of industrial scenes. Lu et al 17 . also proposed a method based on phase shifting profilometry and stereo vision measurement systems.…”

Design and implementation of flexible projector calibration based on radial basis function interpolation

“…In recent years, three-dimensional (3D) measurement technologies have been studied in detail. Among these technologies, structured light 3D measurement technology has several advantages, such as non-contact, high resolution, high precision, and simple hardware structure [1,2]; thus, it is widely used in quality inspection, reverse engineering, biomedicine, cultural relic protection, and other fields [3][4][5][6]. The monocular structured light 3D measurement system usually comprises a projector, a camera, and a computer; a schematic of the system structure is shown in Figure 1.…”