Abstract: Disclosed is a device, for matching oral scan data, comprising a first matching unit, a teeth segmentation unit, and a second matching unit. The first matching unit matches a coordinate system of three-dimensional oral scan data to a coordinate system of a three-dimensional oral computed tomography (CT) image by using three-dimensional feature points of the three-dimensional oral scan data and three-dimensional feature points of the three-dimensional oral CT image. The teeth segmentation unit segments teeth from the three-dimensional oral scan data on the basis of the three-dimensional feature points of the three-dimensional oral scan data to generate surface information relating to the segmented teeth. The second matching unit matches the three-dimensional oral scan data and the three-dimensional oral CT image, which have matching coordinate systems, by means of the surface information.

Abstract: Disclosed is a device for matching three-dimensional intra-oral scan data, the device comprising a computed tomography (CT) image depth map generation unit, a depth map coordinate difference information determination unit, a depth map correction unit, and an intra-oral scan model recovery unit. The CT image depth map generation unit generates a depth map of a CT frame from a CT image by using information about a single scan frame of the scan data. The depth map coordinate difference information determination unit determines depth map coordinate difference information between the depth map of the CT frame and a depth map of the scan frame. The depth map correction unit corrects the depth map of the scan frame on the basis of the depth map coordinate difference information. The intra-oral scan model recovery unit recovers a three-dimensional intra-oral scan model on the basis of the corrected depth map of the scan frame.

Abstract: Disclosed is a three-dimensional oral scan data matching device including a matching unit, a deep-learning unit, a scanned frame feature determination unit, and a scan data re-matching unit. The matching unit matches a plurality of scanned frames to generate a full mouth image. The deep-learning unit performs deep-learning to detect a feature of the full mouth image. The scanned frame feature determination unit determines a feature of the plurality of scanned frames by utilizing the feature of the full mouth image. The scan data re-matching unit re-matches the plurality of scanned frames on the basis of the feature of the plurality of scanned frames, to reconstruct a three-dimensional oral model.