Abstract: A system includes an intraoral scanner and a computing device. The intraoral scanner generates an intraoral scan of a dental site. The computing device processes an input comprising data from the intraoral scan using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model generates an output comprising, for each point in the intraoral scan, an indication as to whether the point belongs to a first dental class that represents excess material. The computing device determines, based on the output, one or more points in the intraoral scan that are classified as excess material. The computing device then hides or removes, from at least one of the intraoral scan or a virtual three-dimensional (3D) model generated using the intraoral scan, data for the one or more points that are classified as excess material.

Abstract: A method of processing primitives within a tiling unit of a graphics processing system comprises determining whether a primitive falls within a tile based on positions of samples within each pixel. If it is determined that the primitive does fall within a tile based on the positions of samples within pixels in a tile, an association between the tile and the primitive is stored to indicate that the primitive is present in the tile. For example, an identifier for the primitive may be added to a control stream for the tile to indicate that the primitive is present in the tile. Various different methods are described to make the determination and these may be used separately or in any combination.

Abstract: Approaches in accordance with various embodiments provide for fluid simulation with substantially reduced time and memory requirements with respect to conventional approaches. In particular, various embodiments can perform time and energy efficient, large scale fluid simulation on processing hardware using a method that does not solve for the Navier-Stokes equations to enforce incompressibility. Instead, various embodiments generate a density tensor and rigid body map tensor for a large number of particles contained in a sub-domain. Collectively, the density tensor and rigid body map may represent input channels of a network with three spatial-dimensions. The network may apply a series of operations to the input channels to predict an updated position and updated velocity for each particle at the end of a frame. Such approaches can handle tens of millions of particles within a virtually unbounded simulation domain, as compared to classical approaches that solve for the Navier-Stokes equations.

Abstract: A computer-implemented method (100) for generating a 3-dimensional wireframe model (13) of an object (2) comprising a plurality of parts, comprising: Scanning (10) the object (2), preferably with a computer tomography method (10a), so as to generate a voxel map; —Computing (12) a 3 dimensional wireframe model (13) of the object; —Segmenting (14) into a plurality of 3 dimensional wireframe part models (15), each 3 dimensional part model corresponding to one part of the object; Using a self-learning machine for classifying (16) said parts into part classes (17); —Adapting (18) the quality of the 3 dimensional wireframe part models depending on at least one quality parameter selected by the user (70) independently for at least one/one or more class (c1, c2, . . . cn). A texture may be applied to the model by photogrammetry and/or PBR.

Abstract: The present invention discloses a remote monitoring method based on information fusion and virtual reality for a marine engine room, comprising five step s: step 1: employing sensors to collect thermodynamic parameters; step 2-1: using normalized relative deviation analysis method to obtain symptoms of the thermodynamic parameters; step2-2: using multi-scale time domain averaging method to extract signatures of vibration & noise signals; step 2-3: using projection moment method to describe dynamic characteristics of static pictures and infrared thermal images of equipment in the engine room; step 3: extracting features in the performance parameters and infrared thermal images; step 4: transmitting the analyzed results; and step 5: establishing visual 3D scenes of the marine engine room. The method rebuilds 3D interactive scenes of the marine engine room and realizes 3D animation effectively.

Abstract: An apparatus is provided. The apparatus includes a communications interface to receive raw data from an external source. The raw data includes a representation of an object. Furthermore, the apparatus includes a memory storage unit to store the raw data. The apparatus also includes a pre-processing engine to generate a coarse segmentation map and a joint heatmap from the raw data. The coarse segmentation map is to outline the object and the joint heatmap is to represent a point on the object. The apparatus further includes a neural network engine to receive the raw data, the coarse segmentation map, and the joint heatmap. The neural network engine is to generate a plurality of two-dimensional maps. Also, the apparatus includes a mesh creator engine to generate a three-dimensional mesh based on the plurality of two-dimensional maps.

Abstract: Embodiments of this application disclose an artificial intelligence-based (AI-based) animation character control method. When one animation character has a corresponding face customization base, and one animation character has no corresponding face customization base, the animation character having the face customization base may be used as a driving character, and the animation character having no face customization base may be used as a driven character.

Abstract: A method of providing an image to image translation using a style based generator architecture for generative adversarial networks. The method includes the step of applying a feature alignment loss function defined by: LossFA=?i=mnwi·L1(?(GSM)i,?(GTM)i) wherein GSM and GTM are respective generators of a source model and a target model, ?(·)i is the extraction of the ith layer of features and wi represents the weight of L1 loss at the ith layer, the L1 loss weight wi being reduced as layers decrease such that L1 loss at higher layers has a higher weight than the L1 loss at lower layers.

Abstract: A straddle type vehicle comprising: a first display unit configured to display speed information of the straddle type vehicle; and a second display unit configured to display information concerning automatic traveling control of the straddle type vehicle, wherein the first display unit and the second display unit are arranged on a front side of the vehicle with respect to a head pipe of the straddle type vehicle, in the first display unit, a display position of the vehicle speed information changes linearly or in a curve in accordance with a change in a speed of the straddle type vehicle, and the second display unit is arranged to be adjacent in an upward direction or a left-and-right direction of the display position of the speed information on a high speed range side of the first display unit.

Abstract: According to some embodiments, a method includes accessing a video generated by a first physical camera in a physical environment. The method further includes identifying an object of interest in the video frame that corresponds to a physical object in the physical environment. The method further includes displaying a virtual 3D environment that corresponds to the physical environment. The method further includes configuring a plurality of settings of a first virtual camera to match a plurality of settings of a first physical camera and configuring a plurality of settings of a second virtual camera to match a plurality of settings of a second physical camera. The method further includes projecting the identified object of interest into the virtual 3D environment using the configured first and second virtual cameras.

Abstract: An afterimage compensator includes: a logo detector configured to detect a logo area including a logo image displayed in a display panel and a logo background image included in a preset range at the periphery of the logo image, based on input image data; a blurring determiner configured to determine a blurring area corresponding to the logo image, using the logo image and the logo background image; and an image corrector configured to blur the logo image, based on the blurring area.

Abstract: In various embodiments, a finite aperture omni-directional camera is modeled by aligning a finite aperture lens and focal point with the omni-directional part of the projection. For example, each point on an image plane maps to a direction in camera space. For a spherical projection, the lens can be orientated along this direction and the focal point is picked along this direction at focal distance from the lens. For a cylindrical projection, the lens can be oriented along the projected direction on the two dimensional (2D) xz-plane, as the projection is not omni-directional in the y direction. The focal point is picked along the (unprojected) direction so its projection on the xz-plane is at focal distance from the lens. The final outgoing ray can be constructed by sampling of point on this oriented lens and shooting a ray from there through the focal point.

Abstract: Methods of and systems for characterization of a 3D point cloud are disclosed. The method comprises accessing a 3D point cloud, the 3D point cloud being a set of data points representative of the object, determining, based on the 3D point cloud, a 3D reconstructed object, determining, based on the 3D reconstructed object, a digital framework of the 3D point cloud, the digital framework being a ramified 3D tree structure, the digital framework being representative of a base structure of the object, morphing a 3D reference model of the object onto the 3D reconstructed object, the morphing being based on the digital framework; and determining, based on the morphed 3D reference model and the 3D reconstructed object, characteristics of the object.

Abstract: The invention relates to a method for configurating a split denture. A digital 3D model of the denture comprising a plurality of teeth is provided. The digital 3D model of the denture is split into a digital 3D model of a base part and a digital 3D model of a teeth part. The base part comprises a first artificial gingiva portion. Further, the base part is configured to support the teeth part. The teeth part comprises the plurality of teeth of the denture and a second gingiva portion. The teeth part is configured to be mounted on the base part. The digital 3D model of the split denture is provided for generating at least one of the base part and the teeth part.

Abstract: Orthodontic positioning devices, and related methods and systems, are disclosed for use with one or more orthodontic elastic members. The disclosed methods may comprise determining the geometries for a pair of orthodontic aligners for use as part of an orthodontic treatment plan. The geometries for the pair of orthodontic aligners may include an upper aligner with a first marking and a lower aligner with a second marking. The first marking may correspond to a position of a first hook, and the second marking may correspond to a position of a second hook. The first hook and the second hook may be configured to engage with an orthodontic elastic member so as to react a force to, for example, generate orthodontic forces on the patient's teeth.

Abstract: Orthodontic positioning devices, and related methods and systems, are disclosed for use with one or more orthodontic elastic members. The disclosed devices are configured to couple with an orthodontic elastic member so as to react a force from the elastic member into the appliance to, for example, generate traction forces on the patient's teeth to produce a desired occlusion. A positioning device includes a patient removable tooth positioning appliance having teeth receiving cavities shaped to receive and apply a resilient positioning force to a patient's teeth. The appliance includes a hook configured to interface with an orthodontic elastic member. The hook can be configured to be offset from a surface of a tooth when the appliance is coupled with the patient's teeth and no elastic member is coupled with the tooth. The hook can be curved so that the hook is more retentive on the aligner. The hook can be reinforced so that the reinforcement resists deformation when the elastic is in place.

Abstract: Orthodontic positioning devices, and related methods and systems, are disclosed for use with one or more orthodontic elastic members. The disclosed devices may comprise a pair of orthodontic aligners for use as part of an orthodontic treatment plan. The pair of orthodontic aligners may include an upper aligner with a first integrally formed hook and a lower aligner with a second integrally formed hook. The first integrally formed hook and the second integrally formed hook may be configured to engage with an orthodontic elastic member so as to react a force to, for example, generate orthodontic forces on the patient's teeth. Each of the first integrally formed hook and the second integrally formed hook may extend buccally from the upper aligner and the lower aligner, respectively.

Abstract: Described are systems and methods directed to generation and subsequent update of a dimensionally accurate body model of a body, such as a human body, based on two-dimensional (“2D”) images of at least a portion of that body and/or face images of a face of the body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) to produce body images that are used to generate a body model of the body of the user. Subsequently, the body model may be updated based on a face image of the face of the user, without requiring the user to provide another body image.

Abstract: Aspects of the technology described herein relate to systems and techniques for finite element analysis of alternating electric fields such as tumor treating fields. A system may be configured to receive medical data of the patient, generate segmented medical data by performing segmentation using the medical data of the patient, generate a model for a transducer array configuration and the generated segmented medical data, wherein the transducer array configuration is configured to produce alternating electric fields, and determine one or more metrics of the alternating electric fields for each of the one or more transducer array configurations. The system may further compare the metrics to reference values and/or metrics of another transducer array configuration and/or determine and/or recommend a transducer array configuration based on the metrics.

Abstract: Methods and systems for manufacturing an orthodontic appliance with an object incorporated in a surface thereof comprising: acquiring a preliminary appliance 3D digital model; acquiring an object 3D digital model; obtaining a desired coupling location of the object on the orthodontic appliance; positioning the object 3D digital model onto a surface of the preliminary appliance 3D digital model based on the obtained coupling location; causing an initial predetermined degree of penetration; merging the object 3D digital model with the preliminary appliance 3D digital model to generate an appliance 3D digital model of the orthodontic appliance with the object incorporated in the surface; and storing the appliance 3D digital model in an internal memory of the electronic device.