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Accurate detection of the feature points of the projected pattern plays anextremely important role in one-shot 3D reconstruction systems, especially forthe ones using a grid pattern. To solve this problem, this paper proposes agrid-point detection method based on U-net. A specific dataset is designed thatincludes the images captured with the two-shot imaging method and the onesacquired with the one-shot imaging method. Among them, the images in the firstgroup after labeled as the ground truth images and the images captured at thesame pose with the one-shot method are cut into small patches with the size of64x64 pixels then feed to the training set. The remaining of the images in thesecond group is the test set. The experimental results show that our method canachieve a better detecting performance with higher accuracy in comparison withthe previous methods.

A grid-point detection method based on U-net for a structured light system