Abstract: During an intraoral scan session, a processing device receives a first intraoral image of a dental site and identifies a candidate intraoral area of interest from the first intraoral image. The processing device receives a second intraoral image of the dental site and verifies the first candidate intraoral area of interest as an intraoral area of interest based on comparison of the second intraoral image to the first intraoral image. The processing device then provides an indication of the intraoral area of interest during the intraoral scan session.

Abstract: An adhesive object for placement in a patients mouth includes a body with an upper surface and a lower surface, the body having a shape. A lower surface of the body includes an adhesive. An upper surface of the body includes a feature that may be detectable by an intraoral scanner, wherein at least one of the shape of the body or the feature on the upper surface provides a geometrical reference point for image registration of images generated by the intraoral scanner.

Abstract: The present disclosure provides computing device implemented methods, computing device readable media, and systems for motion compensation in a three dimensional scan. Motion compensation can include receiving three-dimensional (3D) scans of a dentition, estimating a motion trajectory from one scan to another, and calculating a corrected scan by compensating for the motion trajectory. Estimating the motion trajectory can include one or more of: registering a scan to another scan and determining whether an amount of movement between the scans is within a registration threshold; determining an optical flow based on local motion between consecutive two-dimensional (2D) images taken during the scan, estimating and improving a motion trajectory of a point in the scan using the optical flow; and estimating an amount of motion of a 3D scanner during the scan as a rigid body transformation based on input from a position tracking device.

Abstract: The present disclosure provides computing device implemented methods, computing device readable media, and systems for motion compensation in a three dimensional scan. Motion compensation can include receiving three-dimensional (3D) scans of a dentition, estimating a motion trajectory from one scan to another, and calculating a corrected scan by compensating for the motion trajectory. Estimating the motion trajectory can include one or more of: registering a scan to another scan and determining whether an amount of movement between the scans is within a registration threshold; determining an optical flow based on local motion between consecutive two-dimensional (2D) images taken during the scan, estimating and improving a motion trajectory of a point in the scan using the optical flow; and estimating an amount of motion of a 3D scanner during the scan as a rigid body transformation based on input from a position tracking device.

Abstract: The present disclosure provides computing device implemented methods, computing device readable media, and systems for motion compensation in a three dimensional scan. Motion compensation can include receiving three-dimensional (3D) scans of a dentition, estimating a motion trajectory from one scan to another, and calculating a corrected scan by compensating for the motion trajectory. Estimating the motion trajectory can include one or more of: registering a scan to another scan and determining whether an amount of movement between the scans is within a registration threshold; determining an optical flow based on local motion between consecutive two-dimensional (2D) images taken during the scan, estimating and improving a motion trajectory of a point in the scan using the optical flow; and estimating an amount of motion of a 3D scanner during the scan as a rigid body transformation based on input from a position tracking device.

Abstract: Embodiments for estimating a surface texture of a tooth are described herein. One method embodiment includes collecting a sequence of images utilizing multiple light conditions using an intra-oral imaging device and estimating the surface texture of the tooth based on the sequence of images.

Abstract: A method of subdividing a representation of an object surface comprising a tessellated mesh of polygons is provided. The surface may be bounded by one or more boundary curves. One or more polygons in the mesh may be each subdivided into child polygons, each having one or more vertices. The result is a second mesh representation which may have a finer level of resolution than the original mesh. The locations or parameters of the vertices of the child polygons in the second mesh may be determined using suitable weightings of the locations or parameters of adjacent vertices in the original mesh. The locations of the vertices in the second mesh may be further refined through application of detail vectors. The locations of boundary vertices are always constrained to lie on one of the boundary curves bounding the surface in question. The method may continue iterating until the surface as represented by the subdivided surface representation is fine enough for the intended application.

Abstract: A method of trimming a mesh representation of an object surface comprising a tessellated mesh of polygons. A trim curve is projected onto the mesh representation to determine the trim area. Polygons within or intersecting the trim area are removed, and new polygons are introduced to attach the trimmed mesh to the trim curve projection. Detail data is formed for vertices of polygons near the trim curve, representing information about the object surface not present in the trimmed mesh representation. The detail data is applied to the vertices, thereby refining their locations. Any polygons near the trim curve which are outside a prescribed tolerance of the object surface are subdivided. The steps of forming and applying the detail data followed by the step of subdividing are iteratively performed until the trimmed mesh representation is within a prescribed tolerance of the object surface.

Abstract: A method of forming detail data corresponding to a vertex of a polygonal mesh representation of an object surface. The mesh representation has a limit surface, and the vertex has a limit point on the limit surface. The detail data for the vertex relates to the shape of the limit surface near the limit point corresponding to the vertex, and may capture detail about the object surface which is not captured by the mesh representation. The method may involve forming difference or detail data for one or more vertices from the group comprising the vertex in question and one or more neighboring vertices, weighting the resulting difference or detail data with prescribed weights, and deriving the detail data for the vertex in question from the weighted difference or detail data. The difference data for a vertex is the difference between the vertex as mapped onto the object surface and the limit point for the vertex on the limit surface.