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 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:
The present disclosure provides a computer-implemented method for correlating at least one infrared 2D-image to a 3D-representation of at least a part of a tooth displayed in a graphical user-interface, of a hand-held scanning device, on a screen, comprising the steps of: obtaining a first set of 2D-images of the at least part of the tooth; forming a 3D-representation of the at least a part of the tooth from the first set of 2D-images; displaying, in the graphical user-interface, the 3D-representation; obtaining a second set of 2D-images, wherein the second set of 2D images are infrared 2D-images acquired within the at least part of the tooth; displaying, in the user-interface, at least one of the 2D-images from the second set of 2D-images; displaying, in the user-interface, a manipulator configured to change between 2D-images in the second set of 2D-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 are a scanner system and a method for recording surface geometry and surface color of an object where both surface geometry information and surface color information for a block of the image sensor pixels at least partly from one 2D image recorded by the color image sensor. A particular application is within dentistry, particularly for intraoral scanning.
Abstract:
Disclosed are methods and digital tools for deriving tooth condition information for a patient's teeth, for populating a digital dental chart with derived tooth condition information, and for generating an electronic data record containing such information.
Abstract:
A 3D scanner for recording topographic characteristics of a surface of at least part of a body orifice, where the 3D scanner includes a main body having a mounting portion; a tip which can be mounted onto and un-mounted from the mounting portion, where the tip is configured for being brought into proximity of the body orifice surface when recording the topographic characteristics such that at least one optical element of the tip is at least partly exposed to the environment in the body orifice during the recording; and a heater for heating the optical element, where the heat is provided by way of thermal conduction; where the tip can be sterilized in a steam autoclave when un-mounted from the main body of the 3D scanner such that it subsequently can be reused.
Abstract:
Presented is an optical coherence tomography system and method to increase imaging depth of optical coherence tomography (OCT) by selective amplification. In a swept-source OCT system with periodically linear wavenumber-vs-time characteristic, the signal in principle is summation of various sinusoidal signals with different frequencies. Each frequency component of the recorded signal carries reflectivity information for a certain depth of the analyzed object. At greater depth inside the analyzed object, the reflectivity information is generally weak due absorption and scattering. An analog or digital electronic circuit selectively filters and amplifies frequencies above some threshold, possibly up to another threshold. In this way, even small signals for relatively larger depths become detectable.
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 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.