Abstract: In one embodiment, a health-monitoring system may access a waist-hip measurement of a user. The system may determine one or more stress-related parameters of the user using one or more computing devices. The system may determine one or more correlations between the waist-hip measurement and the one or more stress-related parameters of the user. The system may provide feedback to the user based on one or more of the one or more stress-related parameters or the determined correlations between the waist-hip measurement and the one or more stress-related parameters.

Abstract: A system to determine a position of one or more objects includes a transmitter to emit a beam of photons to sequentially illuminate regions of one or more objects; multiple cameras that are spaced-apart with each camera having an array of pixels to detect photons; and one or more processor devices that execute stored instructions to perform actions of a method, including: directing the transmitter to sequentially illuminate regions of one or more objects with the beam of photons; for each of the regions, receiving, from the cameras, an array position of each pixel that detected photons of the beam reflected or scattered by the region of the one or more objects; and, for each of the regions detected by the cameras, determining a position of the regions using the received array positions of the pixels that detected the photons of the beam reflected or scattered by that region.

Abstract: Disclosed herein is a web-based videoconference system that allows for video avatars to navigate within a virtual environment. Various methods for efficient modeling, rendering, and shading are disclosed herein.

Abstract: Provided is an image generation technology capable of suppressing unpleasantness associated with fluctuation in image quality caused by the viewer's viewpoint movement.

Abstract: A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.

Abstract: A method for estimating a likelihood of a stroke condition of a subject, the method comprising: acquiring clinical measurement data pertaining to said subject, said clinical measurement data including at least one of image data, sound data, movement data, and tactile data; extracting from said clinical measurement data, potential stroke features according to at least one predetermined stroke assessment criterion; comparing said potential stroke features with classified sampled data acquired from a plurality of subjects, each positively diagnosed with at least one stroke condition, defining a positive stroke dataset; and determining, according to said comparing, a probability of a type of said stroke condition, and a probability of a corresponding stroke location of said stroke condition with respect to a brain location of said subject.

Abstract: The present disclosure generally relates to user interfaces and techniques for managing audible descriptions for visual media. In some embodiments, the user interfaces and techniques provide different audible descriptions for a portion of a representation of the media, where one audible description is provided before the portion of the representation of the media has been changed and the different audible description is provided after the portion of the representation of media has been changed.

Abstract: 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.

Abstract: A method for controlling cooking based on artificial intelligence and an artificial intelligence device are disclosed. In the method for controlling cooking based on artificial intelligence, it is possible to continuously monitor how food ingredients are progressing by generating reference information including image information of completed dishes using food ingredient image information acquired through a monitoring unit provided in a kitchen appliance (for example, oven) and determining the cooked state of the food ingredients based on the reference information. An artificial intelligence device according to the present disclosure may be linked with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Abstract: Implementations relate to detecting/replacing transient obstructions from high-elevation digital images, and/or to fusing data from high-elevation digital images having different spatial, temporal, and/or spectral resolutions. In various implementations, first and second temporal sequences of high-elevation digital images capturing a geographic area may be obtained. These temporal sequences may have different spatial, temporal, and/or spectral resolutions (or frequencies). A mapping may be generated of the pixels of the high-elevation digital images of the second temporal sequence to respective sub-pixels of the first temporal sequence. A point in time at which a synthetic high-elevation digital image of the geographic area may be selected. The synthetic high-elevation digital image may be generated for the point in time based on the mapping and other data described herein.

Abstract: A method and system for processing camera images is presented. The system receives a first depth map generated based on information sensed by a first type of depth-sensing camera, and receives a second depth map generated based on information sensed by a second type of depth-sensing camera. The first depth map includes a first set of pixels that indicate a first set of respective depth values. The second depth map includes a second set of pixels that indicate a second set of respective depth values. The system identifies a third set of pixels of the first depth map that correspond to the second set of pixels of the second depth map, identifies one or more empty pixels from the third set of pixels, and updates the first depth map by assigning to each empty pixel a respective depth value based on the second depth map.

Abstract: A face image processing device, includes: an image coordinate system coordinate value derivation unit detecting an x-coordinate value and a y-coordinate value in an image coordinate system at a feature point of an organ of a face of a person in an image, and estimating a z-coordinate value, so as to derive three-dimensional coordinate values in the image coordinate system; a camera coordinate system coordinate value derivation unit deriving three-dimensional coordinate values in a camera coordinate system from the three-dimensional coordinate values in the image coordinate system derived by the image coordinate system coordinate value derivation unit; and a parameter derivation unit applying the three-dimensional coordinate values in the camera coordinate system derived by the camera coordinate system coordinate value derivation unit to a predetermined three-dimensional face shape model to derive a model parameter of the three-dimensional face shape model in the camera coordinate system.

Abstract: A method for performing a path finding operation in graph data stored in a database is provided. The method may include receiving, from a client, a request to perform a weighted path operation on at least portion of the graph data. The portion of the graph data may correspond to a graph. The request may specify attributes associated with vertices and/or edges included in the graph. In response to the request, the weighted path operation may be performed by at least identifying a shortest path between two endpoints in the graph. The shortest path may minimize the one or more attributes of vertices and/or edges included in the shortest path. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: Systems, computer-implemented methods, apparatus and/or computer program products are provided that facilitate improving the accuracy of global positioning system (GPS) coordinates of indoor photos. The disclosed subject matter further provides systems, computer-implemented methods, apparatus and/or computer program products that facilitate generating exterior photos of structures based on GPS coordinates of indoor photos.

Abstract: A position-signal processing method for flat panel gamma imaging probe includes a modeling phase and a use phase. In the modeling phase, a weight direction for an imaging detector is defined, position centers and weight ratios of the imaging detector in the weight direction are utilized to obtain a distribution graph of the weight ratios to the position centers, and curve fitting is performed upon the distribution graph to obtain a position estimation curve. In the use phase, the position estimation curve is utilized to derive a position estimation value of a probe trigger event in a 2D crystal diagram, a position value of the probe in the 2D crystal diagram with respect to the position estimation value of the probe trigger event is obtained, and a crystal code is located in a crystal code look-up table for the position value of the probe in the 2D crystal diagram.

Abstract: Estimating absolute geospatial accuracy in input images without the use of surveyed control points is disclosed. For example, the absolute geospatial accuracy of a satellite images may be estimated without the use of control points (GCPs). The absolute geospatial accuracy of the input images may be estimated based on a statistical measure of relative accuracies between pairs of overlapping images. The estimation of the absolute geospatial accuracy may include determining a root mean square error of the relative accuracies between pairs of overlapping images. For example, the absolute geospatial accuracy of the input images may be estimated by determining a root mean square error of the shears of respective pairs of overlapping images. The estimated absolute geospatial accuracy may be used to curate GCPs, evaluate a digital elevation map, generate a heatmap, or determine whether the adjust the images until a target absolute geospatial accuracy is met.

Abstract: Provided is a method for determining depth motion relative to a time-of-flight camera in a scene sensed by the time-of-flight camera. The method includes determining a first auxiliary depth image from a first set of phase images out of a sequence of phase images of the scene. The sequence of phase images is taken by the time-of-flight camera for a single time-of-flight depth measurement. A second auxiliary depth image is determined from a second set of phase images out of the sequence of phase images. The phase images of the second set of phase images are different from the phase images of the first set of phase images. Information about depth motion relative to the time-of-flight camera for at least part of the scene is determined based on a comparison of depth values represented by pixels in the first auxiliary depth image and the second auxiliary depth image.

Abstract: Methods, systems, and computer code on computer-readable media are provided that are directed to generating area skyline data using a digital elevation or surface models (DEMs or DESs) and shadow casting techniques. Some embodiments use an area of maximum shadow line overlap, for shadow line images based on target location skyline azimuth and elevation angle data, as the best approximation for the position of the target location in an area. Some embodiments select the location showing the best fit to the target skyline azimuth and elevation angle data as the best approximation for the target location.

Abstract: An image processing method and an image processing device detect an object from a driving image of a vehicle, obtain information on an altitude difference between the vehicle and the object, and input image domain coordinates of the object in the driving image and the information on the altitude difference to a neural network and determine world domain coordinates of the object.

Abstract: A detector for determining a position of at least one object is provided. The detector includes an evaluation device adapted to select at least one reflection feature of a reflection image, wherein the evaluation device is configured for determining at least one longitudinal region of the selected reflection feature of the reflection image by evaluating a combined signal Q from the sensor signals, wherein the evaluation device is adapted to determine at least one displacement region in at least one reference image corresponding to the longitudinal region, wherein the evaluation device is adapted to match the selected reflection feature with at least one reference feature within the displacement region.

Abstract: An example operation of depth map generation includes one or more of, simultaneously capturing a main-off camera image and an auxiliary-off camera image with an unpowered flash, sparse depth mapping an object based on the main-off camera image and the auxiliary-off camera image, capturing a main-on camera image with a powered flash, foreground probability mapping the object based on the main-off camera image and the main-on camera image and dense depth mapping the object based on the sparse depth map and the foreground probability map.

Abstract: The present application discloses a 3D imaging method, device and depth camera, wherein, the 3D imaging method includes: acquiring depth information of points in a to-be-captured scene corresponding to at least one pixel; generating a 3D image of the to-be-captured scene based on the acquired depth information; and determining the depth information of the each of the points in the to-be-captured scene corresponding to the at least one pixel based on a result of the distributing. This implementation utilizes multiple charge collection areas to collect the charges obtained by photoelectric conversion of the light that reaches the pixels, thereby achieving the capture of the depth information of points in the to-be-captured scene corresponding to each pixel.

Abstract: An apparatus, or corresponding method, for building or updating a map database is described. In one example, the apparatus includes an image correlation module, a training device, and a learned model or neural network. The image correlation module is configured to correlate a first aerial image and terrestrial sensor data collected at a terrestrial vehicle based on at least one control point from the terrestrial data. The learned model training device is configured to define a learned model based using at least one control point from the terrestrial sensor data as ground truth for analysis of the first aerial image. The learned model inference module is configured to receive a second aerial image and apply the learned model on the second aerial image for identification of mapping information for the map data.

Abstract: An apparatus including a stereo camera and a processor. The stereo camera may comprise a first capture device and a second capture device in a vertical orientation. The first capture device may be configured to generate first pixel data and the second capture device may be configured to generate second pixel data. The processor may be configured to receive the first pixel data and the second pixel data, generate a vertical disparity image in response to the first pixel data and the second pixel data, generate a virtual horizontal disparity image in response to the first pixel data and the vertical disparity image and detect objects by analyzing the vertical disparity image and the virtual horizontal disparity image. An analysis of the virtual horizontal disparity image may enable the processor to detect the objects not detected in the vertical disparity image alone.

Abstract: Systems and methods for generating a map. The methods comprise: performing, by a computing device, ray-casting operations to generate a 3D point cloud with a reduced number of data points associated with moving objects; generating, by the computing device, a 2D binary mask for at least one semantic label class of the 3D point cloud; determining, by the computing device, x-coordinates and y-coordinates for a 2D volume defining an object of the at least one semantic label class; identifying, by the computing device, data points in the 3D point cloud based on the 2D volume; comparing, by the computing device, z-coordinates of the identified data points to at least one threshold value selected for the at least one semantic label class; and generating, by the computing device, the map by removing data points from the 3D point cloud based on results of the comparing.

Abstract: A method for applying GPS UAV attitude estimation to accelerate computer vision. The UAV has a plurality of GPS receivers mounted at fixed locations on the UAV. The method includes receiving GPS signals from each GPS satellite in view of the UAV, the GPS measurements comprising pseudo-range and carrier phase data representing the distance between each GPS receiver and each GPS satellite. Carrier phase and pseudo-range measurements are determined for each GPS receiver based on the pseudo-range and carrier phase data. The GPS carrier phase and pseudo-range measurements are compared pair-wise for each pair of GPS receiver and satellite. An attitude of the UAV is determined based on the relative distance measurements. A 3D camera pose rotation matrix is determined based on the attitude of the UAV. Computer vision image search computations are performed for analyzing the image data received from the UAV in real time using the 3D camera pose rotation matrix.

Abstract: There is provided an encoding device, an encoding method, a decoding device, and a decoding method capable of generating a more accurate three-dimensional model. A three-dimensional model generating unit generates three-dimensional model information representing a three-dimensional model of a subject on the basis of a plurality of captured images and active depth information, and a conversion processing unit converts the three-dimensional model represented by the three-dimensional model information into a plurality of two-dimensional images by projecting the three-dimensional model from a plurality of directions, and generates depth information representing a depth from an arbitrary viewpoint to the three-dimensional model by using the plurality of two-dimensional images. Then, transmit data including the plurality of two-dimensional images, the depth information, and the active depth information is transmitted to the decoding device.

Abstract: A method and a system for generating a mesh representation of a surface. The method includes receiving a three-dimensional (3D) point cloud representing the surface, generating a reconstruction dataset having a higher resolution than the 3D point cloud in one or more regions corresponding to the surface from the 3D point cloud, and generate a polygon mesh representation of the surface by using a fine-to-coarse hash map for building polygons at a highest resolution first followed by progressively coarser resolution polygons, using the reconstruction dataset.

Abstract: An automated rack imaging system is provided, including an automated guided vehicle having a housing and a propulsion system configured to move the housing. The automated rack imaging system may include an imaging system coupled to the housing. The imaging system may include a plurality of cameras. The cameras each may be configured to have a respective field of view. The fields of view may be at least partially non-overlapping with one another. The automated rack imaging system may also include an image processor configured to combine a plurality of images taken by the cameras into a single mosaic image. A method of imaging a datacenter rack with the automated guided vehicle is also provided. The method may include moving the automated guided vehicle to a first target location aligned with the datacenter rack, taking the plurality of images, and combining the plurality of images into the single mosaic image.

Abstract: A method, a computer system, and a computer program product for mapping operational records to a topology graph. Embodiments of the present invention may include generating an event frequent pattern using operational records. Embodiments of the present invention may include integrating topology-based event frequent patterns. Embodiments of the present invention may include mapping the operational records with an embedding engine. Embodiments of the present invention may include predicting incident events. Embodiments of the present invention may include receiving labeled patterns to the embedding engine for an active learning cycle.

Abstract: An image capture method may include obtaining two or more sets of images. The two or more sets of images may include a first image captured by a first image capture device and a second image captured by a second image capture device. The method may also include determining, for a set of images, two or more pairs of points. Each of the two or more pairs of points may include a first point in the first image and a second point in the second image, and the first point and the second point may correspond to a same object. The method may also include determining a first rotation matrix based on the pairs of points in the two or more sets of images. The first rotation matrix may be associated with a relationship between positions of the first image capture device and the second image capture device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for navigation using planar landmarks. In some implementations, images depicting an area of a property captured by a camera are obtained. Landmarks in the area are identified based on the images. An expected stability for each of the landmarks are determined. A map for the area is generated based on the expected stability for each of the landmarks. The map is transmitted to one or more electronic devices.

Abstract: The invention relates to a method and a system for measuring an object (2) by means of stereoscopy, in which method a pattern (3) is projected onto the object surface by means of a projector (9) and the pattern (3), which is designated as a scene and is projected onto the object surface, is captured by at least two cameras (4.1, 4.2, 4.3, 4.4), wherein correspondences of the scene are found in the images captured by the cameras (4.1, 4.2, 4.3, 4.4) by means of a computing unit (5) using image processing, and the object (2) is measured by means of the correspondences found. According to the invention, the cameras (4.1, 4.2, 4.3, 4.4) are intrinsically and extrinsically calibrated, and a two-dimensional and temporal coding is generated during the pattern projection, by (a) projecting a (completely) two-dimensionally coded pattern (3) and capturing the scene using the cameras (4.1, 4.2, 4.3, 4.

Abstract: A three-dimensional geometry measurement apparatus including: a relationship identification part that identifies a combination of a first imaging pixel and a projection pixel of a projection image; a determination part that determines, for the combination of the first imaging pixel and the projection pixel, whether or not the combination includes a defective pixel on the basis of a distance between (i) a second imaging pixel corresponding to the same projection coordinate as a projection coordinate corresponding to the first imaging pixel and (ii) a second imaging pixel corresponding to the projection coordinate of the projection pixel and located on an epipolar line of a second captured image corresponding to the projection coordinate; and a geometry measurement part that measures a geometry of an object to be measured using at least one of the first imaging pixel excluding the defective pixel or the second imaging pixel excluding the defective pixel.

Abstract: A geospatial modeling system may include a memory and a processor cooperating therewith to generate a three-dimensional (3D) geospatial model including geospatial voxels based upon a plurality of geospatial images, obtain a newly collected geospatial image, and determine a reference geospatial image from the 3D geospatial model using Artificial Intelligence (AI) and based upon the newly collected geospatial image. The processor may further align the newly collected geospatial image and the reference geospatial image to generate a predictively registered image, and update the 3D geospatial model based upon the predictively registered image.

Abstract: A simultaneous localization and mapping device is provided. The device includes an image obtaining device configured to capture color images and depth images of a surrounding environment; an initial pose estimating device configured to estimate an initial pose based on the color images and the depth images; a map constructing device configured to construct a three-dimensional map based on the depth images and the color images; and a pose determining device configured to determine a final pose based on the initial pose and the three-dimensional map.

Abstract: The present invention provides a measurement program selection assisting apparatus capable of visually confirming whether a selected measurement program is suitable for an object to be measured. One aspect of the present invention is a measurement program selection assisting apparatus comprising: a measurement program database storing a measurement program related to measurement of an object and superimposed display information corresponding to a three-dimensional shape of the object in association with each other; a display unit capable of displaying information defined in a virtual space superimposed on the real space; and a display control unit for acquiring the superimposed display information corresponding to a selected measurement program from the measurement program database and displaying the acquired superimposed display information in a mixed reality on the display unit.

Abstract: A system for calculating one or more health indicators, comprising a body volume calculator arranged to use measurement data to calculate the volume of at least a part of a subject's body and a length measurement of at least a part of a subject; and processing circuitry arranged to receive information, which may be demographic information, about the subject and the body part volume and length measurements; and to perform at least one of: calculating a predicted Visceral Fat value and/or a predicted Total Body Fat value from the demographic information, the body part volume and length measurements using first and second formulae, which may be empirical formulae, respectively; and calculating a Body Volume Indicator (BVI) arranged to provide an indication of health risk, in particular obesity and cardio-metabolic risk, which may be by using a third formula, which again may be an empirical formula.

Abstract: Magnetic resonance (MR) guided radiation therapy (MRgRT) enables control over the delivery of radiation based on patient motion indicated by MR imaging (MRI) images captured during radiation delivery. A method for MRgRT includes: simultaneously using one or more radiation therapy heads to deliver radiation and an MRI system to perform MRI; using a processor to determine whether one or more gates are triggered based on at least a portion of MRI images captured during the delivery of radiation; and in response to determining that one or more gates are triggered based on at least a portion of the MRI images captured during the delivery of radiation, suspending the delivery of radiation.

Abstract: Systems and methods are disclosed, including a non-transitory computer readable medium storing computer executable instructions that when executed by a processor cause the processor to identify a first image, a second image, and a third image, the first image overlapping the second image and the third image, the second image overlapping the third image; determine a first connectivity between the first image and the second image; determine a second connectivity between the first image and the third image; determine a third connectivity between the second image and the third image, the second connectivity being less than the first connectivity, the third connectivity being greater than the second connectivity; assign the first image, the second image, and the third image to a cluster based on the first connectivity and the third connectivity; conduct a bundle adjustment process on the cluster of the first image, the second image, and the third image.

Abstract: An exemplary computing system for locating an object in an operational area is disclosed. The computing system having a server and plurality of edge devices. The edge devices having an image sensor configured to capture video data of the operational area from a specified location. The edge devices can process the video data to identify an object and generate a two-dimensional shape representative of the object, generate a vector from a lens of the image sensor through a center point of the two-dimensional shape; and determine relative position of the two-dimensional shape based on geospatial information of the edge device and the vector. The server and one or more of the edge devices receiving video data from a plurality of edge devices and generating a graphic, which defines a position of the object within the operational area based on the vector and location information of each edge device.

Abstract: The present disclosure relates to a method and a device for acquisition of a metric of an eye (1) located in an acquisition space (29). The device comprises at least one light source (11) configured to emit light towards the acquisition space, a camera (15) configured to receive light from the acquisition space to (29) generate image data, and an analyzing unit (14) configured to extract at least one metric from the image data. The camera (15) is configured to receive light from the acquisition space via at least two light paths (17, 19) which are differently angled with respect to the optical axis of the camera, the light of at least one path being received via a first mirror (21). The camera receives light from an overlapping portion of the acquisition space via the first and second paths, as to allow the camera to receive at least two representations of a single eye. This metric may be used for e.g. eye tracking or autorefraction/accomodation.

Abstract: Computing a relative-head-orientation relative to a moving-reference. First and second data are received. The first data are indicative of a head-orientation of a head of a user. The second data are indicative of at least one of: a location, a motion, an orientation, a velocity and an acceleration of the user. A head-orientation is computed according to the first data. A moving-reference is updated by an adjustment toward the head-orientation, to produce an updated-moving-reference. The amount of adjustment is indicated by processing the second data. A relative-head-orientation is computed relative to the updated-moving-reference. Binaural audio is rendered in accordance with the relative-head-orientation.

Abstract: In described examples, an apparatus includes an object detection (OD) network that is configured to generate OD polygons in response to a received at least one camera image and a semantic segmentation (SS) network that is configured to generate SS data in response to the received at least one camera image. A processor is configured to generate an updated occupancy grid in response to the OD polygons and the SS data. A vehicle is optionally configured to respond to a driving action generated in response to the updated occupancy grid.

Abstract: A camera monitoring system for a bore based medical apparatus is described, wherein the camera monitoring system comprises a first and a second image sensor mounted on opposing surfaces of a circuit board. The first image sensor is arranged to view an object from a first viewpoint via a first lens arrangement and a first mirror and the second image sensor is arranged to view the object from a second viewpoint via a second lens arrangement and a second mirror. By having the image sensors view an object via the mirrors, via the lens arrangements, the lens arrangements contribute to the effective separation of the first and second viewpoints enabling the size of the housing of the camera to be reduced. Furthermore, a method for calibrating a camera monitoring system in a bore based setup is described and also a configuration of arranging a camera monitoring system in connection with a bore based medical apparatus.

Abstract: Methods and systems for improved generation and georeferencing of floor plans are presented. In one embodiment, a method is presented that includes receiving images that depict sheets of a blueprint of a structure. Subsets of the images depicting floor sheets and elevation sheets may be identified. Exterior contours may be extracted from the images depicting floor sheets and elevation contours may be extracted from the images depicting elevation sheets. A corresponding structure within a three-dimensional map may be identified based on the exterior contours and the elevation contours. A three-dimensional contour of the exterior of the structure may be extracted from the three-dimensional map.

Abstract: The present invention discloses a method and an apparatus for extracting mountain landscape buildings based on high-resolution remote sensing images. The method comprises: segmenting a remote sensing image, and extracting non-vegetation areas from the remote sensing image by using NDVI; segmenting the non-vegetation areas, and extracting building areas by using NDBI; segmenting the building areas again, and calculating a normalized difference build shadow index NSBI of each patch; calculating NSBI separator of each patch in the non-vegetation areas and setting a separator threshold, and extracting landscape building areas based on the threshold. In the present invention, by introducing a near infrared band in the remote sensing image spectrum, in which there is a significant difference between shadows and non-shadows, the influence of large shadow areas in mountainous shady areas in the remote sensing image on the result of extraction is reduced.

Abstract: The method of generating three-dimensional model data of an object includes estimating pose data of the object based on the first view data of the camera and first relative pose data of the object, and estimating second relative pose data of the object based on the pose data of the object and the second view data of the camera.

Abstract: An electronic device can include a first image sensor configured to capture a first image of a field of view and a second image sensor configured to capture a second image of the field of view. The electronic device can include a color filter adjacent to the second image sensor such that the field of view is viewable by the second image sensor through the color filter. The first image can have a first pixel resolution. The second image can have a second pixel resolution. The electronic device can include a controller configured to determine a third image based on luminance content of the first image and color content of the second image. The third image can have a third pixel resolution indicative of a spatial resolution of the first image and a spectral resolution of the second image.

Abstract: A method for aligning and merging contents from multiple collaborative workstations. Collaborative workstations are multiple workstations that contribute respective contents to be combined into a single computer-generated output. The content generated from each collaborative workstation is the collaborative content. Individual collaborative content is created from each workstation by a user drawing on a piece of paper that is placed on a workspace surface of the workstation. Collaborative contents contributed by multiple workstations are aligned such that a combined product (i.e., a single computer-generated output) including both virtual and physical content appears to be collaboratively drawn by multiple users on a single piece of paper.