Abstract
High dynamic range 3-D shape measurement is a challenge. In this work, we propose a novel method to solve the 3-D shape reconstruction of high-reflection and colored surfaces. First, we propose a method to establish a fast pixel-level mapping between the projected image and the captured image. Secondly, we propose a color texture extraction method using a black-and-white (B/W) camera and a pixel-level projection color adjustment method. Third, we give an optimal projection fringe modulation/background intensity ratio. Fourth, we propose a method for estimating the reflectivity of the object surface and ambient light interference, and a method for adjusting the projection intensity at the pixel level and a method for estimating the optimal exposure time. Experiments show that, compared with the existing methods, the proposed method not only can obtain high-quality captured images, but also has higher measurement efficiency and wider application range.
Highlights
High dynamic range 3-D shape measurement is a challenge
Kofman et al.[20,21] found that when measured in an uncontrollable environment, changing ambient lighting will cause the camera to saturate. They proposed a method of reducing the maximum input gray value (MIGL) to adapt to changing ambient lighting
Since there are no colors on the surface, the adaptive projection fringe pattern is pure color
Summary
High dynamic range 3-D shape measurement is a challenge. In this work, we propose a novel method to solve the 3-D shape reconstruction of high-reflection and colored surfaces. Jiang et al.[9] proposed a method combining bright and dark fringe projection with multiple exposures This method reduces the influence of ambient light, improves the signal-to-noise ratio and the dynamic range of the measurement. Kofman et al.[22,23] proposed to project a series of fringe patterns with a decreasing maximum input gray value, and at the same time, select pixels with the largest gray value and unsaturated pixels in the phase shift image pixel by pixel to synthesize the phase shift image and use it for phase calculation This method has a high signal-to-noise ratio for low reflectivity surface measurement, and at the same time, it can avoid image saturation for high reflectivity surface measurement, so it can obtain higher measurement accuracy. The pixel color, pixel intensity and exposure time can be adaptively adjusted according to the color information and reflectivity of the measured objects
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