A method for capturing digital data for fabricating a dental splint involves displaying a GUI on a display of a smartphone that provides an alignment feature for a user to align a camera of the smartphone to a first position that captures teeth of a person, receiving digital video of the teeth, overlaying the alignment feature on the digital video of the teeth on the display, moving the alignment feature on the screen in a manner that causes the user to move the smartphone relative to the teeth to maintain alignment with the alignment feature, capturing digital image information of the teeth as the alignment feature is moved, the captured digital image information including depth information, and transmitting the captured digital image information, including the depth information, from the smartphone for use in fabricating a dental splint.

A method for training a neural network intended to analyze a dental situation of an updated patient. A historical learning database is created that relates to a dental body and to a spatial attribute associated with the dental body. The historical learning database includes more than 1,000 historical records, with each historical record relating to a respective historical patient. Each record including a set of historical images all depicting the dental body in the historical patient, called “historical dental body” and an item of spatial information including, for the historical patient, a set of values for the spatial attribute, called “historical spatial information.” The neural network is trained, by providing it with the sets of historical images as input and with the historical spatial information as output, with the spatial attribute defining an ordered sequence of variables in a three-dimensional reference frame.

The present invention provides an oral image marker detection method for detecting a marker, which is the reference when an oral scan image and a CT image are matched, the method comprising the steps of: aligning oral scan images in the horizontal plane direction; estimating a marker candidate area from the aligned oral scan images and detecting an undivided marker from the marker candidate area; and dividing the undivided marker to estimate a marker in the undivided marker, and estimating the area from the upper surface of the undivided marker to a certain depth in the lower direction to be the marker.

A method of obtaining three-dimensional data includes: obtaining three-dimensional reference data with respect to an object; aligning, on the three-dimensional reference data, a first frame obtained by scanning a first region of the object; aligning, on the three-dimensional reference data, a second frame obtained by scanning a second region of the object, at least a portion of the second region overlapping the first region; and obtaining the three-dimensional data by merging the first frame with the second frame based on an overlapping portion between the first region and the second region.

Described herein are computer-implemented methods for identifying and classifying one or more regions of interest in a facial region and augmenting an appearance of the regions of interest in an image. For example, a region of interest may include one or more of: a teeth region, a lip region, a mouth region, or a gum region. User selected templates for teeth, gums, smile, etc. may be used to replace the analogous facial features in an input image provided by the user, for example from an image library or taken with an image sensor. The computer-implemented methods described herein may use one or more trained machine learning models and one or more algorithms to identify and classify regions of interest in an input image.

The method for generating dental data suitable for manufacturing of a dental aligner, includes storing 3D scan data of a dental arch, determining (140) a curve in an occlusal plane, determining a positioning of the nodes of the teeth of the dental arch on the curve, determining an elevation of the nodes of the teeth of the dental arch, and determining an orientation of the teeth of the dental arch; said manufacturing data are calculated at least on the basis of the 3D scan data as well as the determined positioning, the determined elevation, and the determined orientation.

A method for facilitating caries detection is to be performed based on a grayscale image of teeth, and includes: obtaining an object detection model; obtaining a detection image using the object detection model based on the grayscale image, wherein the detection image is the grayscale image labeled with a plurality of tooth crown marks and a caries mark; and for one of the tooth crown marks that has the caries mark provided thereon, determining a width and a height of the tooth crown mark and a width and a height of the caries mark, and calculating a caries ratio based on the aforementioned widths and heights to obtain an evaluation result that indicates a severity of caries.

A method for generating a three-dimensional image includes capturing a set of color images of an object, generating a first point cloud according to at least the set of color images, generating a second point cloud by performing a filtering operation to the first point cloud according to the set of color images, selectively performing a pairing operation using the second point cloud and a target point cloud to generate pose information, and combining the first point cloud and the target point cloud according to the pose information to update the target point cloud to generate the three-dimensional image of the object. The set of color images is related to color information of the object. The relativity of the second point cloud and the rigid surface is higher than the relativity of the second point cloud and the non-rigid surface.

Oral care based digital imaging systems and methods are provided for processing information associated with image data such as a digital image and/or a video defined by a sequence of digital images. A system and a method are provided for evaluating and/or predicting the effectiveness of an oral care product to improve at least one oral health condition of at least one person depicted in a digital image.

Systems and methods are provided for preparation of orthodontics and prosthodontics. A method may include scanning a patient's teeth to form first 3D data of the patient's teeth including a removable element that obscures part of the dental surfaces of the patient's teeth and non-obscured tooth surfaces, removing the removable element form the patient's teeth so that the removable element no longer obscures the part of the dental surfaces of the patient's teeth, and scanning the previously obscured part of the dental surfaces of the patent's teeth and the non-obscured tooth surfaces.