Abstract: In a computer-implemented method for detecting three-dimensional surface geometries of real intraoral structures, two-dimensional images of intraoral structures are converted into three-dimensional virtual surface geometries. Pixels of the two-dimensional images are each partitioned into segments and each segment is assigned a label. Each segment of a two-dimensional image corresponds to at least one type of real intraoral structure. There are at least two types of segment; each type of segment has a different label and at least one of the labels represents teeth and tooth-like structures.

Abstract: A device for determining the relative positions of an upper and lower jaw has an upper carrier with an upper contact surface for the upper jaw and a lower carrier with a lower contact surface for the lower jaw, wherein the carriers in a position of use correspond to the device with an upper jaw and a lower jaw. In addition, the device has a system for detecting the relative spatial positions of the upper and lower carriers with respect to one another.

Abstract: Disclosed is a method for registering at least two different 3D models, whereby the models image the same object at least in places, including: detecting and describing features in the 3D models; assigning features of the first 3D model to the features of the second based on descriptions that are as similar, for each feature of the first 3D model, a feature of the second is determined, and notating the first assignments as vectors, then performing the opposite assignment; comparing the vectors of the first and second assignments and determining common, bijective vectors of both, and randomly selecting at least three bijective vectors; applying the selected vectors to the first 3D model and checking whether the vectors essentially image common points of the 3D models; if successful, using the selected vectors to generate a transformation, and if not, discarding all vectors and rerunning of the method with other data.

Abstract: In a computer-implemented method for detecting three-dimensional surface geometries of real intraoral structures, two-dimensional images of intraoral structures are converted into three-dimensional virtual surface geometries. Pixels of the two-dimensional images are each partitioned into segments and each segment is assigned a label. Each segment of a two-dimensional image corresponds to at least one type of real intraoral structure. There are at least two types of segment; each type of segment has a different label and at least one of the labels represents teeth and tooth-like structures.

Abstract: In a method for optical recording of the surface geometry of gums, an object with known surface geometry, in particular a gingiva former, is located in the region of the gum to be recorded. A surface geometry of the region is recorded optically together with the object and the known surface geometry of the object is subtracted from the recorded surface geometry.

Abstract: With a method for three-dimensional detection of at least one spatial relationship of two physical objects, in particular at least one section of an upper jaw and at least one section of a lower jaw, whereby in at least one of the objects, a physical negative impression or a physical model is available, whereby the at least one spatial relationship is digital, and the method includes the following steps: digitization of the physical negative impression or model or the physical negative impressions or models; generation of a digital model for each object of which no physical model is available; generation of at least one digital impression of at least one physical, spatial relationship of the objects, in particular a bite position of the upper jaw to the lower jaw; and deriving at least one digital, spatial relationship from the at least one digital impression.

Abstract: A method for clearing unwanted data from optically detected virtual representations of objects includes: a. Defining an extension line of the representation; b. Generating a projection plane at one point of the extension line, which is perpendicular to the generated projection plane; c. Projecting all known points in space of the representation from one region on the projection plane onto the projection plane, the corresponding point in space being stored for each projected point; d. Generating a two-dimensional curve on the projection plane; e. Determining maxima, minima and a center of the curve; f. Identifying projected points of the curve that—viewed from the center of the curve—lie outside of the minima or maxima; g. Removing the points in space that correspond to the projected points that were identified in step f.; and h. Optionally, repeating starting from step b. for one further point of the extension line.

Abstract: Disclosed is a method for registering at least two different 3D models, whereby the models image the same object at least in places, including: detecting and describing features in the 3D models; assigning features of the first 3D model to the features of the second based on descriptions that are as similar, for each feature of the first 3D model, a feature of the second is determined, and notating the first assignments as vectors, then performing the opposite assignment; comparing the vectors of the first and second assignments and determining common, bijective vectors of both, and randomly selecting at least three bijective vectors; applying the selected vectors to the first 3D model and checking whether the vectors essentially image common points of the 3D models; if successful, using the selected vectors to generate a transformation, and if not, discarding all vectors and rerunning of the method with other data.

Abstract: At a method and device for capturing the three-dimensional surface geometry of an object, with at least one sensor and at least one light source, the sensor is a monochrome sensor and the method includes: a) obtaining a first multidimensional information of the object including a first pose, using the monochrome sensor; b) illuminating the object by the light source in a first color; c) taking a monochrome image of the illuminated object, using the monochrome sensor; d) creating a second multidimensional information of the object including a second pose, using the monochrome sensor; e) combining the first and second pose of steps a) and d) to create an intermediate pose; f) combining the monochrome image of step c. and the intermediate pose of step e) to create a colored model of at least a segment of the object.

Abstract: In a device and a method for optical acquisition of three-dimensional surface geometries with a handpiece (1), with the handpiece (1) having one or more means (2) for output of status reports, at least one means (2) for output of status reports is a means (2) for generating oscillations that outputs haptically perceptible status reports.

Abstract: In a device for operating an intraoral scanner with at least one handpiece and at least one computer unit, the handpiece and the computer unit are electrically insulated from one another.

Abstract: Disclosed is a method for clearing, in particular for removing, unwanted data from optically detected virtual representations of objects, in particular teeth and intraoral structures. The method includes the following steps: a. Defining of an extension line of the representation; b. Stipulating of at least one optimization surface, which in at least one region has a consistent distance to the extension line; c. Securing an inner side and an outer side of the optimization surface; d. Determining of all elements of the representation outside of the outer side of the representation; and e. Removing of all elements outside of the representation.

Abstract: Method for detection and optimization of a three-dimensional surface geometry, which is stored in a voxel-grid-based notation, in which during a first instant of detection, a clone of at least one part of the surface geometry is generated, the clone of the surface geometry being processed independently of the surface geometry, and the processed clone of the surface geometry and the surface geometry being brought together again at a second instant during the detection.

Abstract: A device for detecting the three-dimensional geometry of objects (9), in particular teeth, includes a handpiece (1) which is provided with at least one position sensor (12) for detecting the change of the spatial position of the handpiece (1), and an optical device (2) having at least one camera (5, 6) for capturing images and at least one light source (3) for at least one projector (4). The position sensor (12) in the handpiece (1) initially determines the size of the change of the spatial position of the device. It is determined therefrom, how many pictures the camera (5, 6) can take in a defined time unit.

Abstract: A device for the three-dimensional recording of objects (10), in particular teeth, includes a recording region (2), in which at least one mirror (26, 27, 28) is arranged in order to deflect a light or projection beam (23) and/or an image reflected by the object (10), and a gripping region (3). A camera (32) and/or a projector (14) is/are arranged in the recording region (2), and the recording region (2) is tilted against the projection direction at an angle (a) between 10° and 40° relative to the gripping region (3).

Abstract: A device for recording images of three-dimensional objects (10), in particular teeth, has a light source (22) and a camera (32) for recording images of the object (10), whereby in the beam path of the light source (22), at least one transparent vehicle (36, 37) is arranged with a pattern that is projected onto the object (10). The vehicle (36, 37) has sections that are offset with respect to one another in the direction of the beam path. As an alternative or in addition, at least two vehicles (36, 37) can be offset with respect to one another in the direction of the beam path.