Abstract: A computer-implemented method of generating a dental model based on an objective function output, including creating an objective function including at least one quality estimation function which trains at least one machine learning method that generates quality estimation output, and an objective function output is the output of the objective function providing a model as an input data to the objective function and generating model-related objective function output; and modifying the model based on the model-related objective function output to transform the model to a generated model, wherein the generated model is the dental model.

Abstract: Detecting a movable object in a location includes providing a first 3D representation of at least part of a surface; providing a second 3D representation of at least part of the surface; determining for the first 3D representation a first excluded volume in space where no surface can be present; determining for the second 3D representation a second excluded volume in space where no surface can be present; if a portion of the surface in the first 3D representation is located in space in the second excluded volume, the portion of the surface in the first 3D representation is disregarded in the generation of the virtual 3D model, and/or if a portion of the surface in the second 3D representation is located in space in the first excluded volume, the portion of the surface in the second 3D representation is disregarded in the generation of the virtual 3D model.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: A scanning system for generating a three-dimensional (3D) representation of an object includes: an intraoral scanning device including one or more projector units configured to project a pattern on a surface of the object; two or more camera units configured to acquire a set of images including at least one image from each camera unit, wherein each image is composed of an array of pixels, wherein each pixel includes a pixel color defined by one or more color channels; wherein the scanning system further includes one or more processors configured for: determining points in three-dimensional (3D) space that form a solution to a correspondence problem associated with the set of images, wherein the points are determined by comparing pixel colors with computed colors associated with camera rays corresponding to each pixel; and generating the three-dimensional (3D) representation based on the determined 3D points.

Abstract: A method for generating a digital 3D representation of at least a part of an intraoral cavity, the method including recording a plurality of views containing surface data representing at least the geometry of surface points of the part of the intraoral cavity using an intraoral scanner; determining a weight for each surface point at least partly based on scores that are measures of belief of that surface point representing a particular type of surface; executing a stitching algorithm that performs weighted stitching of the surface points in said plurality of views to generate the digital 3D representation based on the determined weights; wherein the scores for the surface points are found by at least one score-finding algorithm that takes as input at least the geometry part of the surface data for that surface point and surface data for points in a neighbourhood of that surface point.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: A method for generating a digital 3D representation of at least a part of an intraoral cavity, the method including recording a plurality of views containing surface data representing at least the geometry of surface points of the part of the intraoral cavity using an intraoral scanner; determining a weight for each surface point at least partly based on scores that are measures of belief of that surface point representing a particular type of surface; executing a stitching algorithm that performs weighted stitching of the surface points in said plurality of views to generate the digital 3D representation based on the determined weights; wherein the scores for the surface points are found by at least one score-finding algorithm that takes as input at least the geometry part of the surface data for that surface point and surface data for points in a neighbourhood of that surface point.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: Disclosed is a method for compensating for motion blur when performing a 3D scanning of at least a part of an object by means of a 3D scanner, where the motion blur occurs because the scanner and the object are moved relative to each other while the scanning is performed, and where the motion blur compensation comprises: —determining whether there is a relative motion between the scanner and the object during the acquisition of the sequence of focus plane images; —if a relative motion is determined, performing a motion compensation based on the determined motion; and —generating a 3D surface from the sequence of focus plane images.

Abstract: The present disclosure relates to a computer-implemented method for improving the accuracy of a digital three-dimensional representation of a dental object during scanning, the method comprising the steps of: generating a digital three-dimensional (3D) representation of the dental object based on registration and stitching of a plurality of 3D scan patches; obtaining new 3D scan patches in real-time during scanning; registering said new 3D scan patches to the digital 3D representation during scanning, whereby said scan patches form part of the digital 3D representation; selecting a sub-set of 3D scan patches among the obtained or registered 3D scan patches, wherein said selection is performed during scanning; and re-registering one or more 3D scan patches forming part of the digital 3D representation, wherein said re-registering is based on applying one or more transformations to the selected sub-set of scan patches, whereby the accuracy of a digital 3D representation is improved.

Abstract: A method for improving the accuracy of a digital medical model of a part of a patient, the method includes obtaining a set of at least 2 medical images of the patient, where an element including a predefined geometry and/or predefined information was attached to the patient during the recording of the medical images; obtaining at least 2 tracking images taken with at least one camera having a known positional relationship relative to the medical imaging device, the tracking images depicting at least part of the element; determining any movement of the element between acquisition of the at least 2 tracking images; and generating the digital medical model from the acquired medical images, wherein the determined movement of the element is used to compensate for any movement of the patient between the acquisition of the medical images.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: Disclosed is a method of storing information in a mesh, including tessellating a plurality of input patches of the mesh, serializing vertices of the tessellated input patches, calculating a value for each vertex, serializing the values according to the serialization of the vertices; and storing the serialized values.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.