Abstract: A system for detecting sensor position change (DCPC) on movable vehicle components includes two or more sensors on at least one of the movable vehicle components. The sensors detect optical information within a distinct field of view (FOV) about an environment surrounding the vehicle. The distinct FOV of each sensor at least partially overlaps with an FOV of at least one other sensor. The system includes controllers that execute an application for DCPC. The DCPC application acquires overlapping optical information from the sensors, computes a conditional correspondence probability distribution for feature points in the overlapping optical information, computes a normalized joint entropy of the feature points, determines that the sensor is in a position manageable by the DCPC, continuously monitors positions of each of the sensors, selectively dynamically aligns the sensors, and ensures that the sensors are calibrated for vehicle perception tasks including advanced driver assistance system (ADAS) functions.

Abstract: An imaging chamber configured to receive a flow of a fluid sample is provided. The imaging chamber includes a reservoir and an imaging window. The reservoir includes a contrast-enhancing agent and is configured to receive the flow of the fluid sample. The imaging window of the imaging chamber is downstream from the reservoir.

Abstract: The present disclosure provides a method and apparatus for processing three dimensional graphic data, a device, a storage medium and a product, relating to a field of artificial intelligence, in particular to a field of autonomous driving. The specific implementation is: receiving a data compression request for a target graphic element in a three dimensional electronic map, and obtaining at least one vertex data corresponding to the target graphic element; extracting a global coordinate matrix with a shared attribute in the at least one vertex data; extracting local coordinate data with a private attribute respectively corresponding to the at least one vertex data; and sending, in response to a graphic drawing request for the target graphic element, the global coordinate matrix and the local coordinate data respectively corresponding to the at least one vertex data to a graphic display device.

Abstract: A method of encoding a series of data into a bitstream, includes: obtaining a current neighborhood configuration relative to a current data of the series of data, the set of candidate neighborhood configurations being obtained from previously encoded data of the series of data; obtaining a reduced current neighborhood configuration by applying a dynamic reduction function to the current neighborhood configuration, an image of the dynamic reduction function being a set of reduced neighborhood configurations and each reduced neighborhood configuration being associated with a leaf node of a tree, the reduced current neighborhood configuration being obtained by progressing from a root node of the tree until a leaf node based on values of constitutive elements of the current neighborhood configuration; and encoding the current data by using an entropy coder of a set of entropy coders, the entropy coder being selected based on the reduced current neighborhood configuration.

Abstract: An example operation may include one or more of establishing a network connection between a computing system and one or more external sources over a computer network, receiving a request from a user via a software application on a user device, collecting data about the user from the one or more external sources via the established network connection, executing a machine learning model on the collected data about the user to determine a goal of the user, and displaying an image of the goal via a user interface of the software application.

Abstract: An image drawing method performed by first and second computers is provided. The image drawing method includes: transmitting, by the second computer, a streaming video that includes a pen stroke image generated by a first rendering process; generating, by the first computer, a pen stroke image by performing a second rendering process, which is shared with the first rendering process, in parallel with the first rendering process; receiving, by the first computer, the streaming video from the second computer via communication that incurs a delay; compositing, by the first computer, the pen stroke image into the streaming video; and outputting, by the first computer, the streaming video. The image drawing method enables alignment of appearances between a provisional image and the pen stroke image that appears within the streaming video.

Abstract: A method, apparatus, non-transitory computer readable medium, apparatus, and system for image generation include obtaining a sketch input depicting an object, processing the sketch input to obtain sketch guidance, and generating a synthesized image based on the sketch guidance using an image generation model, where the synthesized image depicts the object from the sketch input.

Abstract: The instant disclosure relates to a method for synchronized navigation and annotation of correlated, heterogeneous sets of medical images. The method including correlating, based on first and second metadata, first and second sets of sequential tomographic medical images of a subject and thereby generate correlated image pairs. Superimposing each correlated image pair to generate fusion images corresponding to the correlated image pairs. Selectively and sequentially rendering the correlated image pairs, the fusion images, and/or a third tomographic medical (TTM) image of the subject. Selectively rendering a visual representation of a pixel of interest and/or region of interest for the correlated image pairs, the fusion images, and/or the TTM image. A machine learning algorithm is used to identify a pixel within a medical image that is associated with a medical condition. A graphical annotation is rendered on or about the pixel's location.

Abstract: According to some embodiments, a method comprises obtaining a set of projection data acquired from a CT scan of an object; generating, based on the set of projection data, one or more sets of preliminary scattering data; and performing X-ray scatter correction by inputting the obtained set of projection data and the generated one or more sets of preliminary scattering data into a trained machine-learning model for extracting X-ray scatter components from the set of projection data.

Abstract: Detecting cancer early can significantly reduce mortality rate, but this still remains a challenge owing to shortcomings in early screening and detection with existing modalities. Cancer detection is done using known screening methods such as X-ray mammography, Magnetic Resonance Imaging (MRI) and Ultrasound imaging (US). But these conventional methods have their own limitations such as compression discomfort, inherent health risks, expensive, and consume more time and effort. Present disclosure provides system and method for enhanced microwave imaging (MWI) for efficient breast tumor detection by scanning subject's specific body portion to optimize the scan duration. The MWI is framed as an inverse problem by building forward model using a Point Spread Function (PSF) and is solved by imposing sparsity prior since tumor is concentrated to limited regions. The entire scanning duration is optimized by viewing the problem as a sequential decision making process for a Deep Reinforcement Learning (DRL) agent.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data regarding an environment associated with a cell site, identifying one or more coverage pivots from a plurality of coverage locations in the environment, utilizing one or more machine learning (ML) models to determine emission directions for the one or more coverage pivots based at least in part on locations of the one or more coverage pivots and the cell site in the environment, resulting in determined emission directions, and causing ray tracing simulation to be performed using the determined emission directions, wherein the ray tracing simulation enables first signal coverage estimates to be derived for the one or more coverage pivots and used to extrapolate second signal coverage estimates for a remainder of the plurality of coverage locations. Other embodiments are disclosed.

Abstract: Systems and methods are provided for enhanced face shape generation for archetypes of virtual entities based on generative modeling techniques. An example method includes training models based on synthetically generated faces and information associated with an authoring system. The modeling system being trained to reconstruct face shapes for virtual entities based on a latent space embedding of a face identity associated with specific archetypes.

Abstract: This disclosure relates generally to a method and system for three-dimensional (3D) merchandising and space planning. State-of-the-art methods providing the merchandising and space planning for store management in three-dimensional visualization is limited to a specific fixture or to a specific area of the store. However, planning the merchandising and the space for an entire store in three-dimensional hyper-realistic visualization is not yet done. The disclosed method provides three-dimensional hyper-realistic visualization for planning the merchandize and space for an entire store by integrating data analytics capturing real-time information required during planning, and the in-house libraries facilitating quicker and easier design of the layouts for the store. The method includes importing the products from the product library, receiving real-time performance analytics for the products, and creating layout by placing the products on the fixtures imported from the fixture library.

Abstract: A wearable device comprises a display, a communication circuit, at least one processor, and memory storing instructions. The instructions, when executed by the at least one processor, cause the wearable device to: establish a first connection with a first external electronic device of the plurality of external electronic devices by using the communication circuit; identify a second external electronic device of the plurality of external electronic devices within a field of view of the wearable device; display, through the display, a first visual object representing the first connection, based on identifying an event associated with the first connection; and based on an input obtained for the first visual object for establishing a second connection between the first external electronic device and a second external electronic device, cease displaying of the first visual object and display, through the display, a second visual object representing the second connection.

Abstract: The present invention embodies a novel navigational system that enhances the experience of pilots and passengers of physical aircraft (and other physical vehicles) traveling through actual three-dimensional space. In addition to facilitating the creation of a virtual course through which physical aircraft will travel while flying through actual three-dimensional space, the present invention also facilitates the creation of a virtual environment (modeling remote, inaccessible and imaginary locations) into which the virtual course is integrated, and manages the synchronization of the physical aircraft to the virtual course within the virtual environment during actual physical flight. In this manner, the present invention enhances the experience of pilots and passengers by illustrating dynamic views of the physical aircraft traveling along the virtual course within the virtual environment. The present invention enables competitive, sightseeing, educational, entertaining and various other types of experiences.

Abstract: The present disclosure relates to a display method, apparatus, electronic device, and storage medium for a virtual input device, which are suitable to an extended reality device. The method comprises: acquiring at least one object in the environment where a user is currently located; determining a target object from the at least one object; and displaying a virtual input device in an extended reality space, the virtual input device being attached to the target object.

Abstract: Systems, devices, and methods for segmentation of patient anatomy are described herein. A method can include receiving a three-dimensional (3D) scan volume including a set of images of a 3D region of patient anatomy. The 3D region of patient anatomy can include a set of anatomical structures. The method can also include generating a set of two-dimensional (2D) radiographs using the 3D scan volume. Each 2D radiograph from the set of 2D radiographs can include 3D image data extracted from the 3D scan volume. The method can also include training a segmentation model to segment 2D radiographs using the set of 2D radiographs to identify one or more anatomical parts of interest.

Abstract: An information processing apparatus includes at least one memory storing instructions, and at least one processor. The at least one processor is configured to execute the instructions to acquire image data of a predetermined space captured by a camera, generate measurement data including a person-to-person distance between persons included in the image data, set space data about a size of the space, determine whether a state of density of the persons in the space is appropriate or not, based on the measurement data and the space data, and output a determination result.

Abstract: A detection device includes processing circuitry configured to acquire data to be detected and normal reference data, calculate a Learned Perceptual Image Patch Similarity (LPIPS) distance between the acquired data and the reference data, and classify the acquired data into either a Clean Sample or an Adversarial Example by using the calculated LPIPS distance.

Abstract: Broadly speaking, embodiments of the present techniques provide a method for reducing errors in the outputs of machine learning, ML, models on a potential output of the models to resolve any inconsistencies before outputting a final result from the models. The final result respects a set of rules or constraints, which may include logical constraints. Advantageously, this reduces the risk of a model outputting a result which violates some rules associated with the overall task of the model, which could be dangerous or provide a poor user experience.