Registration of Feature-Poor 3D Measurements from Fringe Projection

We Trapper Hats propose a novel method for registration of partly overlapping three-dimensional surface measurements for stereo-based optical sensors using fringe projection.Based on two-dimensional texture matching, it allows global registration of surfaces with poor and ambiguous three-dimensional features, which are common to surface inspection applications.No prior information about relative sensor position is necessary, which makes our approach suitable for semi-automatic and manual measurement.The algorithm is robust and works with challenging measurements, including uneven illumination, surfaces with specular reflection as well as sparsely textured surfaces.

We show that precisions of 1 mm and below can be achieved along the surfaces, which is necessary for further local LIP SHIMMER PLUM 3D registration.

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