Abstract: Various implementations disclosed herein include devices, systems, and methods that generates a three-dimensional (3D) model based on a selected subset of the images and depth data corresponding to each of the images of the subset. For example, an example process may include acquiring sensor data during movement of the device in a physical environment including an object, the sensor data including images of a physical environment captured via a camera on the device, selecting a subset of the images based on assessing the images with respect to motion-based defects based on device motion and depth data, and generating a 3D model of the object based on the selected subset of the images and depth data corresponding to each of the images of the selected subset.

Abstract: Three-dimensional (3D) image modeling systems and methods are disclosed herein for determining respective mid-section dimensions of individuals. Digital image(s) depicting at least a mid-section portion of an individual are obtained. A fit finder application (app) determines a rough 3D model based on the digital image(s). A parametric 3D model of a predefined individual is mapped to the rough 3D model in virtual 3D space to generate a fitted 3D model indicative of a physical size of at least the mid-section portion of the individual in ordinary space. A mid-section dimension of the individual is then determined based on the fitted 3D model.

Abstract: The disclosure provides a method, device and a computer-readable medium for performing three-dimensional blood vessel reconstruction. The device includes an interface configured to receive a single-view two-dimensional image of a blood vessel of a patient, where the single-view two-dimensional image is a projection image acquired in a predetermined projection direction. The device further includes a processor configured to estimate three-dimensional information of the blood vessel from the single-view two-dimensional image using an inference model, and reconstruct a three-dimensional model of the blood vessel based on the three-dimensional information.

Abstract: A method for projecting an input device, an electronic apparatus, and a non-transitory computer readable storage medium are provided. The method includes: identifying a three-dimensional (3D) model of an input device, wherein the input device comprises a keyboard and a mouse; acquiring an image of the input device captured by a camera in a virtual reality (VR) system; identifying at least one feature identifier of the input device in the image; calculating target information in the VR system corresponding to the at least one feature identifier; and projecting, according to the target information, the 3D model into a VR scene constructed by the VR system.

Abstract: Disclosed is an ultrasonic image presentation device comprising: an ultrasonic scanner having a probe which is a part coming into direct contact with an object and a marker; a photographing unit configured to photograph the marker; an ultrasonic image presentation unit configured to acquire an ultrasonic image as a two-dimensional depth cross-sectional image for a part coming into contact with the probe of the ultrasonic scanner, estimate a position and posture of the marker in a three-dimensional image on the basis of an image photographed by the photographing unit; estimate a position and posture of the probe in the three-dimensional image from the estimated marker position and posture information, create a point cloud by converting pixels of the ultrasonic image into points of the three-dimensional image on the basis of the estimated probe position and posture information, and restore the three-dimensional ultrasonic image on the basis of the created point cloud; and a display unit configured to display th

Abstract: The implementation of the present disclosure provides a point cloud partitioning method and device, and a computer-readable storage medium, including: when performing stripe division along the longest side, adjusting an initial partitioning position or determining the stripe division length according to the size of a preset block, to obtain a stripe division position, wherein, the length of the first n?1 stripes along the longest side is an integer multiple of the side length of the preset block, n is the number of divided stripes, and n is a positive integer greater than or equal to 2.

Abstract: An information processing apparatus obtains information corresponding to a scene in a virtual viewpoint image to be generated. The information is information based on a captured image including a product generated based on the scene in the virtual viewpoint image. The information processing apparatus outputs, based on the obtained captured image, a virtual viewpoint image of the scene corresponding to the product.

Abstract: An information processing device for drawing an object arranged in a three-dimensional virtual space, in an expression viewed from a virtual camera, the object including a field object associated with a two-dimensional plane defined by a first axis and a second axis, and a specific object arranged on the field object, the device including: a change processing unit changing a region of the field object falling within a viewing angle of the virtual camera; and a deformation processing unit deforming the field object, in which in a case where the region is changed by the change processing unit, the deformation processing unit makes a deformation mode of the field object different when it is determined that the specific object is positioned in the region after being changed and when it is determined that the specific object is not positioned in the region after being changed.

Abstract: A display correction system includes a first obtainer, a second obtainer, a third obtainer, a predictor, and a corrector. The first obtainer obtains travel route information on a travel route ahead of a moving body. The second obtainer obtains speed information on a speed of the moving body. The third obtainer obtains orientation information on an orientation of the moving body. The predictor predicts, based on the travel route information and the speed information, a time period during which the moving body travels through a specific section in the travel route. The corrector performs correction of a displacement of a display position of a content on a display image based on the orientation information. Based on prediction result of the predictor, the corrector executes first control when the moving body is traveling in a normal section, and executes second control when the moving body is traveling in the specific section.

Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.

Abstract: Methods, systems, and apparatuses are described for stabilizing an object in an augmented reality scene by spatially registering the virtual object to one or more physical objects or virtual objects within the augmented reality scene.

Abstract: Provided are an image processing device and an image processing method that enable simple generation of a plurality of viewpoint images of a free viewpoint image. The image processing device determines, corresponding to a user operation, a virtual-viewpoint data group including respective pieces of data of a plurality of virtual viewpoints to a predetermined 3D object, and generates, for the plurality of virtual viewpoints, respective virtual viewpoint images each as an image of the 3D object viewed from a corresponding virtual viewpoint.

Abstract: System and method are provided for scaling a 3-D representation of a building structure. The method includes obtaining images of the building structure, including non-camera anchors. The method also includes identifying reference poses for images based on the non-camera anchors. The method also includes obtaining world map data including real-world poses for the images. The method also includes selecting candidate poses from the real-world poses based on corresponding reference poses. The method also includes calculating a scaling factor for a 3-D representation of the building structure based on correlating the reference poses with the selected candidate poses. Some implementations use structure from motion techniques or LiDAR, in addition to augmented reality frameworks, for scaling the 3-D representations of the building structure. In some implementations, the world map data includes environmental data, such as illumination data, and the method includes generating or displaying the 3-D representation.

Abstract: Systems, methods, and non-transitory computer readable media configured for enabling content sharing between users of wearable extended reality appliances are provided. In one implementation, the computer readable medium may be configured to contain instructions to cause at least one processor to establish a link between a first wearable extended reality appliance and a second wearable extended reality appliance. The first wearable extended reality appliance may display first virtual content. The second wearable extended reality appliance may obtain a command to display first virtual content via the second wearable extended reality appliance, and in response, this content may be transmitted and displayed via the second extended reality appliance. Additionally, the first wearable extended reality appliance may receive second virtual content from the second wearable extended reality appliance, and display said second virtual content via the first wearable extended reality appliance.

Abstract: Techniques are described for determining whether a point cloud registration (e.g., alignment) between two sets of data points is valid. Such techniques can include determining voxelized representations of the sets of data points, and comparing characteristics of spatially aligned voxels within the voxelized representations. Characteristics of voxels to be compared can include classification labels of data points associated with voxels, including whether or not voxels correspond to free space. Point cloud registrations determined to be invalid can be given a weighting to be used in a subsequent high definition (HD) map building process. Generated maps can then be deployed for use in autonomous vehicles.

Abstract: Image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. In some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. In some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.

Abstract: In an example, a non-transitory machine-readable storage medium storing instructions executable by a processor of a computing device to receive device telemetry data associated with an electronic device. The device telemetry data may include data that affects a performance of a graphics processor of the electronic device. Further, instructions may be executed by the processor to predict health of the graphics processor by applying a machine learning model to the device telemetry data. Furthermore, instructions may be executed by the processor to generate an alert notification based on the predicted health of the graphics processor.

Abstract: A minimal volumetric 3D transmission implementation enables efficient transmission of a 3D model to a client device. A volumetric 3D model is generated using a camera rig to capture frames of a subject. A viewer is able to select a view of the subject. A system determines an optimal subset of cameras of the camera rig to utilize to capture frames to generate the volumetric 3D model based on the viewer's selected view. The volumetric 3D model is transmitted to the user device. If the user changes the view, the process repeats, and a new subset of cameras are selected to generate the volumetric 3D model at a different angle.

Abstract: In one embodiment, a method includes receiving a rendered image, motion vector data, and a depth map corresponding to a current frame of a video stream generated by an application, calculating a current three-dimensional position corresponding to the current frame of an object presented in the rendered image using the depth map, calculating a past three-dimensional position of the object corresponding to a past frame using the motion vector data and the depth map, estimating a future three-dimensional position of the object corresponding to a future frame based on the past three-dimensional position and the current three-dimensional position of the object, and generating an extrapolated image corresponding to the future frame by reprojecting the object presented in the rendered image to a future viewpoint associated with the future frame using the future three-dimensional position of the object.

Abstract: In one implementation, a method of including a person in a CGR experience or excluding the person from the CGR experience is performed by a device including one or more processors, non-transitory memory, and a scene camera. The method includes, while presenting a CGR experience, capturing an image of scene; detecting, in the image of the scene, a person; and determining an identity of the person. The method includes determining, based on the identity of the person, whether to include the person in the CGR experience or exclude the person from the CGR experience. The method includes presenting the CGR experience based on the determination.