KEYWORDS: RGB color model, 3D modeling, 3D image processing, Gaussian filters, 3D scanning, 3D vision, Computer vision technology, Projection systems, Cameras, Structured light
This paper presents an integrated 3D face scanning system using the structured light technique. After illuminating the
face by a pattern with horizontal colored strips using the De_Bruijn sequence, an image is taken and used to obtain the
3D information. A second image without illumination is used to add the texture to the reconstructed model. The
precision of the 3D model depends on the determination of the strip centers. The technique proposed to determine these
centers uses a smoothing Gaussian filter with a large kernel applied to the V component in the HSV color space. A
classic connection algorithm allows to link the isolated points in the detected strips. The color of the detected strips is
determined for the whole connected parts in two steps. Firstly, we use the H component of the HSV color space to
determine the color of each set of pixels. Then, we apply a region growing algorithm to assign the colors to the
remaining pixels. Each connected and colored part of line is treated alone and matched to a line in the projected pattern.
Finally each detected point is triangulated with its corresponding one in the projected pattern to generate the model.
Experiment results show a good 3D resolution with this technique.
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