The system (Figure 1(a)) is composed of a DLP projector (1,024 �� 768 pixels) to generate black and white striped light patterns and a monochrome digital CCD camera (1,280 �� 960 pixels). Camera and projector are used as active devices for a stereo triangulation process. A calibration procedure is adopted to calculate the intrinsic and extrinsic parameters of the optical devices, with respect to an absolute reference system [17,18]. The projector is modeled like an inverse camera, exploiting its capability to generate both coded vertical and horizontal fringes [19].Figure 1.(a) Scheme of the 3D optical scanner. (b) Fringe pattern projection.In this work, a vertical binary encoded light stripe approach is used for 3D shape recovery.

In particular, a sequence of vertical light planes is projected onto the model to be reconstructed (Figure 1(b)).

The planes are defined as crossing areas between black and white parallel fringes whose period is progressively halved. Each pixel in the camera images is characterized by a temporal sequence of light intensities that can be either bright or dark depending on its location in the respective plane image. A binary code (0, 1 with n bit) is assigned to each pixel, where n is the number of the projected stripe patterns, and the values 0 and 1 are associated to the intensity levels, i.e., 0 = black and 1 = white. This encoding procedure provides l = 2n?1 encoded lines.

The 3-D coordinates of the observed scene point are then computed by intersecting the optical ray with the plane considering that the geometry of the hardware set-up, the camera ray direction and the plane equation of the corresponding stripe are known.

The methodology provides np = lh �� lv encoded points where lh is the horizontal resolution of the projector and lv is the vertical resolution of the camera.The scanner accuracy has been tested for different working area
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