A method to acquire dental images of a patient with a support defining a chamber that is in communication with an outside of said chamber via a first opening and via a second opening. The method includes the following steps: fixing a mobile phone in front of the second opening; positioning the first opening in front of a mouth of the patient; and acquiring at least one dental image by means of the mobile phone.

A method of automated tooth segmentation of a three dimensional scan data using a deep learning, includes determining a U-shape of teeth in input scan data and operating a U-shape normalization operation to the input scan data to generate first scan data, operating a teeth and gum normalization operation, in which the first scan data are received and a region of interest (ROI) of the teeth and gum is set based on a landmark formed on the tooth, to generate second scan data, inputting the second scan data to a convolutional neural network to label the teeth and the gum and extracting a boundary between the teeth and the gum using labeled information of the teeth and the gum.

A method for operating a dental appliance by providing a dental appliance including at least one motion sensor that provides motion data, the motion sensor is one of an orientation sensor, an acceleration sensor, and an inertial sensor. Further, providing at least one camera associated with the dental appliance that provides image data, and segmenting the image data received from the camera to segment a surface condition using a first machine learning neural network to generate a surface condition segmentation. Then classifying the motion data received from the motion sensor and the image data received from the camera to classify motion and position of the dental appliance with respect to a surface of a user's anatomy, using a second machine learning neural network classifier to generate a surface position comprising at least one of a relational motion classification or a relational position classification. Finally, generating user treatment progress condition and position based on the surface condition and surface position; and communicating the treatment progress condition and position to the user.

Oral care based imaging computer-implemented systems and methods for determining perceived attractiveness of a facial image portion of at least one person depicted in a digital image. The method has the following steps: a) obtaining a digital image comprising at least one oral feature of at least one person, wherein the digital image includes a facial image portion of the at least one person, the facial image portion having both positive and negative attributes as defined by pixel data of the digital image; b) analyzing the facial image portion; c) generating an Attractiveness Score indicative of a perceived attractiveness of the facial image portion based on the analyzed facial image portion in the obtained digital image; d) further generating an image description that identifies at least one area in said facial image portion based on the Attractiveness Score; and e) presenting the image description to a use.

Systems and methods for orthognathic surgical planning are described herein. An example computer-implemented method can include generating a composite three-dimensional (3D) model of a subject's skull, defining a global reference frame for the composite 3D model, performing a cephalometric analysis on the composite 3D model to quantify at least one geometric property of the subject's skull, performing a virtual osteotomy to separate the composite 3D model into a plurality of segments, performing a surgical simulation using the osteotomized segments, and designing a surgical splint or template for the subject.

A method and a system for generating an augmented 3D digital model of an intraoral anatomical structure a subject. The method comprises: obtaining an unfolded surface of a 3D digital model of the intraoral anatomical structure, the unfolded surface comprising a 2D grid including a plurality of 2D cells; generating a texture reference map by: assigning, to each one of the plurality of 2D cells, a respective value of at least one textural parameter; using the texture reference map for applying the at least one textural parameter onto the 3D digital model to generate the augmented 3D digital model; and causing display of the augmented 3D digital model of the intraoral anatomical structure.

Provided is a data processing method according to the present disclosure including: a scan data acquiring operation of acquiring scan data expressing an object, a reliability determining operation of determining a reliability of at least one evaluation area including at least one unit area for evaluating the scan data, and an indicating operation of indicating the evaluation area as a predetermined mark depending on the reliability of the evaluation area.

The invention relates to a method for filling a mesh hole in a mesh of a 3D digital model. A boundary of the mesh hole is provided by a first closed boundary curve comprising boundary edges connecting boundary vertices of a first plurality of boundary vertices. The method comprises selecting a maximized triple of boundary vertices comprising a first, a second and a third boundary vertex. The selected maximized triple is maximized by selecting a boundary vertex of the first plurality of boundary vertices as the third boundary vertex of the selected maximized triple. The selected maximized triple satisfies a first criterion. The first and the second vertex of the selected maximized triple are connected using a connecting curve from the first to the second boundary vertex.

An information processing system comprises: an information processor capable of transmitting and receiving data; and an estimation unit that estimates dental notations of teeth in each of visible light images and X-ray images of oral cavities input through the information processor and estimates image shooting direction of each of the visible light images and the X-ray images. The information processor adds the dental notations and the image sensing direction to each of the visible light images and the X-ray images as metadata, and manages the visible light images and the X-ray images by associating the visible light images and the X-ray images using the metadata.

The three-dimensional (3D) reconstruction of visible part of the human jaw is becoming required for many diagnostic and treatment procedures. The present invention improves upon Statistical Shape from Shading (SSFS) framework by using a novel approach to automatically extract prior information. This two-step framework consists of interdental gingiva regions extraction for each individual tooth and detection of the centerline across the jaw span. These two steps help extract the anatomical landmark points and detect the status of the jaw. Experimental results highlight the accuracy of the extracted prior information and how this information boosts recovering 3D models of the human jaw.