Non-contact adaptive sampling for unknown free-form surface based on double-probe integration

In order to digitize unknown free-form surfaces accurately,quickly and rationally in reverse engineering,a new non-contact adaptive sampling strategy based on double-probe integration was presented.The method was characterized by integrating two laser probes abreast as leading probe and end probe respectively.A piece of gobo was used to shut out reflected light to avoid light interference with each other.During the sampling time,at the measuring direction,the leading probe was applied to detect the measuring path in front of the end probe.The data acquired by the leading probe was processed instantaneously to extract the curvature feature of the measured path.The obtained information was subsequently used to generate rational sampling spacing and guide adaptive sampling for the end probe.While at the cross-section intake direction,section angle analysis algorithm was done to subdivide the cross-section if it was needed.Simulation and experiment results indicate that the sampling points generated by the end probe can be laid out rationally according to the curvature feature of the surfaces,therefore the sampling efficiency and accuracy are improved significantly,and effective sampling data can be offered for model reconstruction.