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We present a method to obtain simultaneous three-dimensional shape and color information from a single captured image using a composite red, green, and blue (RGB) projected fringe pattern. Previous attempts at single snapshot shape and color metrology have suffered from either poor dynamic range or have been highly dependent on the color of the artifact. An optimum multiwavelength process has been employed to maximize the dynamic range of the shape data and give absolute depth information independently at each pixel. Fringe processing is via a Fourier transform process with algorithms introduced to obtain RGB color texture. Simulated and experimental data demonstrate the algorithm’s robustness in the vicinity of surface discontinuities. Experimental results from a human hand show the applicability to dynamic scenes.
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Zhang et al. (2010) studied this question.
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