Abstract: A system and method for content recommendation, including: (i) a computer processor, (ii) a recaller module configured to receive a request for a secondary media item, and identify a set of candidate secondary media items associated with the source media item and (iii) a ranking module executing on the computer processor and configured to enable the computer processor to generate, based on the user identifier, a set of user vectors, a set of secondary media vectors, and a set of source media vectors, execute a machine learning model using the vectors to generate a ranking score for each of the secondary media items, wherein executing the machine learning model includes performing a contextual multi-armed bandit algorithm involving exploration and exploitation of candidate items based on historical data, and return a subset of the set of candidate secondary media items in response to the request.

Abstract: A system comprises an intraoral scanning device and a processor. The intraoral scanning device comprises a wand including a probe, one or more light projectors disposed in the probe and configured to project a structured light pattern, wherein the structured light pattern comprises first pattern features of a first type and second pattern features of a second type, and two or more cameras disposed in the probe and configured to acquire one or more sets of images. The processor is configured to solve a correspondence problem within each set of images such that first points in 3D space are determined based on a captured subset of the first pattern features and a corresponding projected subset of the first pattern features and second points in 3D space are determined based on a captured subset of the second pattern features and a corresponding projected subset of the second pattern features.

Abstract: A system comprises an intraoral scanning device and a processor. The intraoral scanning device comprises a wand including a probe, one or more light projectors disposed in the probe and configured to project a non-coded structured light pattern comprising pattern features, two or more cameras disposed in the probe and configured to acquire one or more sets of images each including one or more image features of at least a portion of the projected non-coded structured light pattern, and a mirror, wherein a light projector and a camera are positioned to face the mirror. The processor is configured to solve a correspondence problem within each set of images such that points in 3D space are determined based on the one or more image features, wherein said points form a solution to the correspondence problem, and wherein the correspondence problem is solved for one or more pattern features.

Abstract: An intraoral scanner comprises one or more structured light projectors and two or more cameras, where each structured light projector projects a pattern of light onto an intraoral three-dimensional (3D) surface and the two or more cameras capture one or more sets of images, wherein each image includes at least a portion of the projected pattern of light. A processor solves a correspondence problem within a set of images of the one or more sets of images such that points in 3D space are determined based on correspondence of captured features in the set of images to projected features of at least the portion of the projected pattern, wherein said points in 3D space form a solution to the correspondence problem. The processor calibrates the intraoral scanner by performing an adjustment to stored calibration data associated with the intraoral scanner based on the solution to the correspondence problem.

Abstract: A dental scanning system comprises an intraoral scanner and one or more processors. The intraoral scanner comprises one or more light projectors configured to project a pattern (comprising a plurality of pattern features) on a surface of a dental object, and two or more cameras configured to acquire one or more sets of images, wherein each set of images comprises at least one image from each camera, and wherein each image includes at least a portion of the projected pattern. The processors are configured to determine one or more image features within each set of images, solve a correspondence problem within each set of images such that points in 3D space are determined based on the image features, wherein said points form a solution to the correspondence problem, and wherein the correspondence problem is solved for groups of pattern features, and generate a digital 3D representation of the dental object using the solution to the correspondence problem.

Abstract: An intraoral scanning system comprises an elongate handheld wand with a probe at a distal end, a structured light projector configured to project a uniform structured light pattern onto an object, a plurality of cameras configured to capture points of the uniform structured light pattern projected onto the object by the structured light projector, and one or more processors. The one or more processors are configured to determine a correspondence between projected points in the uniform structured light pattern generated by the structured light projector and captured points of the uniform structured light pattern captured by the plurality of cameras viewing the uniform structured light pattern projected onto the object, and to use triangulation and the determined correspondence to determine three-dimensional points in space associated with the captured points of the uniform structured light pattern captured by the plurality of cameras.

Abstract: Apparatuses (e.g., systems, devices, etc.) and method for scanning both a subject's intraoral cavity as well as detecting, using the same scanner, e.g., wand, finger gestures and executing command controls based on these detected finger gestures.

Abstract: An intraoral scanning system comprises an elongate handheld wand with a probe at a distal end, a structured light projector configured to project a uniform structured light pattern onto an object, a plurality of cameras configured to capture points of the uniform structured light pattern projected onto the object by the structured light projector, and one or more processors. The one or more processors are configured to determine a correspondence between projected points in the uniform structured light pattern generated by the structured light projector and captured points of the uniform structured light pattern captured by the plurality of cameras viewing the uniform structured light pattern projected onto the object, and to use triangulation and the determined correspondence to determine three-dimensional points in space associated with the captured points of the uniform structured light pattern captured by the plurality of cameras.

Abstract: A dental scanning system comprises an intraoral scanner and one or more processors. The intraoral scanner comprises one or more light projectors configured to project a pattern (comprising a plurality of pattern features) on a dental object, and two or more cameras configured to acquire sets of images, each comprising at least one image from each camera. The processor(s) are configured to determine a correspondence between pattern features in the pattern of light and image features in each set of images by determining intersections of projector rays corresponding to one or more of the plurality of pattern features and camera rays corresponding to the one or more image features in three-dimensional (3D) space based on calibration data that associates the camera rays corresponding to pixels on the camera sensor of each of the two or more cameras to the projector rays.

Abstract: Apparatuses (e.g., systems, devices, etc.) and method for scanning both a subject's intraoral cavity as well as detecting, using the same scanner, e.g., wand, finger gestures and executing command controls based on these detected finger gestures.

Abstract: An intraoral scanner comprises one or more structured light projectors and two or more cameras, where each structured light projector projects a pattern of light onto an intraoral three-dimensional (3D) surface and the two or more cameras capture one or more sets of images, wherein each image includes at least a portion of the projected pattern of light. A processor solves a correspondence problem within a set of images of the one or more sets of images such that points in 3D space are determined based on correspondence of captured features in the set of images to projected features of at least the portion of the projected pattern, wherein said points in 3D space form a solution to the correspondence problem. The processor calibrates the intraoral scanner by performing an adjustment to stored calibration data associated with the intraoral scanner based on the solution to the correspondence problem.

Abstract: Embodiments relate to techniques for selecting images from a plurality of images generated by an intraoral scanner. A method includes receiving a plurality of images of a dental site generated by an intraoral scanner, identifying a subset of images from the plurality of images that satisfy one or more selection criteria, selecting the subset of images that satisfy the one or more selection criteria, and discarding or ignoring a remainder of images of the plurality of images that are not included in the subset of images.

Abstract: A system and method for content recommendation, including: (i) a computer processor, (ii) a recaller module configured to receive a request for a secondary media item, and identify a set of candidate secondary media items associated with the source media item and (iii) a ranking module executing on the computer processor and configured to enable the computer processor to generate, based on the user identifier, a set of user vectors, a set of secondary media vectors, and a set of source media vectors, execute a machine learning model using the vectors to generate a ranking score for each of the secondary media items, wherein executing the machine learning model includes performing a contextual multi-armed bandit algorithm involving exploration and exploitation of candidate items based on historical data, and return a subset of the set of candidate secondary media items in response to the request.

Abstract: An apparatus for intraoral scanning comprises an elongate wand comprising a probe at a distal end of the wand, one or more cameras and a computer processor. The one or more cameras are disposed within the probe and arranged within the probe such that the one or more cameras receive rays of light from an intraoral cavity in a non-central manner, wherein the non-central manner in which the one or more cameras receive the rays of light from the intraoral cavity introduces image distortion. The computer processor is configured to generate a three-dimensional model of an intraoral surface based on images from the one or more cameras, wherein the computer processor compensates for the image distortion specifically introduced by the non-central manner in which the one or more cameras receive the rays of light from the intraoral cavity.

Abstract: A dental scanning system comprises an intraoral scanner and one or more processors. The intraoral scanner comprises one or more light projectors configured to project a pattern (comprising a plurality of pattern features) on a dental object, and two or more cameras configured to acquire sets of images, each comprising at least one image from each camera. The processor(s) are configured to determine a correspondence between pattern features in the pattern of light and image features in each set of images by determining intersections of projector rays corresponding to one or more of the plurality of pattern features and camera rays corresponding to the one or more image features in three-dimensional (3D) space based on calibration data that associates the camera rays corresponding to pixels on the camera sensor of each of the two or more cameras to the projector rays.

Abstract: An intraoral scanner comprises one or more structured light projectors and two or more cameras, where each structured light projector projects a pattern of light onto an intraoral three-dimensional (3D) surface and the two or more cameras capture one or more sets of images, wherein each image includes at least a portion of the projected pattern of light. A processor solves a correspondence problem within a set of images of the one or more sets of images such that points in 3D space are determined based on correspondence of captured features in the set of images to projected features of at least the portion of the projected pattern, wherein said points in 3D space form a solution to the correspondence problem. The processor calibrates the intraoral scanner by performing an adjustment to stored calibration data associated with the intraoral scanner based on the solution to the correspondence problem.

Abstract: A dental scanning system comprises an intraoral scanner and one or more processors. The intraoral scanner comprises one or more light projectors configured to project a pattern (comprising a plurality of pattern features) on a surface of a dental object, and two or more cameras configured to acquire one or more sets of images, wherein each set of images comprises at least one image from each camera, and wherein each image includes at least a portion of the projected pattern. The processors are configured to determine one or more image features within each set of images, solve a correspondence problem within each set of images such that points in 3D space are determined based on the image features, wherein said points form a solution to the correspondence problem, and wherein the correspondence problem is solved for groups of pattern features, and generate a digital 3D representation of the dental object using the solution to the correspondence problem.

Abstract: An intraoral scanning system comprises and intraoral scanner and a processor. The intraoral scanner comprises one or more cameras and one or more structured light projectors, the intraoral scanner to generate a series of images using the one or more cameras, each image including at least a portion of a pattern projected by the one or more structured light projectors onto an intraoral three-dimensional surface. The processor runs a correspondence algorithm to compute respective three-dimensional positions of a plurality of features of the pattern on the intraoral three-dimensional surface, as captured in the series of images. The processor identifies the computed three-dimensional position of a detected feature of the pattern as corresponding to a particular projector ray r, in at least a subset of the series of images. The processor tracks the particular projector ray r across one or more additional images of the series of images.

Abstract: An apparatus for intraoral scanning includes an elongate handheld wand that has a probe. One or more light projectors and two or more cameras are disposed within the probe. The light projectors each has a pattern generating optical element, which may use diffraction or refraction to form a light pattern. Each camera may be configured to focus between 1 mm and 30 mm from a lens that is farthest from the camera sensor. Other applications are also described.

Abstract: A system and method for environmental parameter mapping. A method includes adding at least one entry to a mapping data structure, wherein each entry includes a position of a robotic device and at least one corresponding environmental parameter for the respective position of the robotic device, wherein each environmental parameter of each entry indicates an attribute of an environment at the corresponding position and is based on at least one sensor signal captured at the corresponding position; and sending at least one command to the robotic device, wherein the at least one command is determined based on the mapping data structure and includes at least one command to navigate.