Abstract
This paper presents a novel prior-guided restoration method, to our knowledge, aimed at removing and recovering intense local specular highlight in fringe projection profilometry (FPP) images of specular objects. Local reflections, caused by the direct reflection of the projector on smooth surfaces, often saturate pixel intensities, posing a significant obstacle to 3D shape reconstruction. The proposed method combines sinusoidal fringe projection principles with improved fitting techniques. By analyzing fringe patterns in non-highlight regions, the constant and amplitude parameters of the fringes are determined by non-highlight regions. For the critical initial phase parameter, the continuity of highlight regions and the fixed relative geometry between the projector and object are leveraged, which enables an iterative calculation strategy that progressively estimates fringe intensity within specular regions. The results show a seamless integration of the restored fringe data with the original non-highlight information, ensuring global consistency and continuity. 3D measurement experiments demonstrate effective restoration of morphological distortions and filling of point cloud holes.
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