Abstract: Systems and methods for trigger-based graphical output generation are disclosed. A server obtains, from a client device, a data request specifying data for delivery, a delivery trigger, and a messaging address. The server obtains, in response to occurrence of the delivery trigger, the data from a data repository. The server determines, using a federated artificial intelligence engine, a visualization format for the data. The server generates a graphical output corresponding to the data in the visualization format. The server transmits, to the messaging address, the graphical output.

Abstract: A method of creating digital art from photos and videos of coins and various methods of presenting this art to be viewed, including presenting the digital art in a large frame that can hang on a wall for view at hundreds of times magnification and with very good to excellent lighting, which accentuates the coin's beauty and allows coins to be presented in a more user-friendly way than the traditional methods such as 2×2? cardboard holders or “flips”, cardboard albums, or plastic holders called “slabs” that are provided by third party grading companies, which make it difficult to appreciate the beauty of certain collectible coins because most coins are small and it's hard to see the details with the naked eye, where one would have to use a magnifying lens or a jeweler's loupe to see the coin's details.

Abstract: In one aspect, an example method includes (i) obtaining video that depicts an area across multiple frames of the video, wherein the area is part of a scene of the video, and wherein the area is suitable for having an object inserted therein; (ii) detecting the area within the obtained video and determining area characteristic data associated with the detected area; (iii) determining scene attribute data associated with the scene; (iv) using at least the determined area characteristic data and the determined scene attribute data as a basis to select an object from among a set of multiple candidate objects; (v) inserting into the detected area the selected object to generate video that is a modified version of the obtained video; and (vi) outputting for presentation the generated video.

Abstract: Techniques for delivering virtualized content are disclosed. In some embodiments, elements in source content are mapped to a set of corresponding database objects, and the set of database objects is modified to generate a virtualized version of the source content. A specification of the virtualized version of the source content is provided to an output device in response to a request from the output device for the source content.

Abstract: A method of scheduling processing in a ray tracing system gathers child rays into a child task, assigns priority to the child task on the basis that one or more child rays of the child task are derived from a task to which priority has been assigned, and schedules the child task for processing in preference to one or more other tasks to be scheduled to which priority has not been assigned.

Abstract: There are provided systems and methods for scanning objects in a virtual environment. In particular, the present disclosure pertains to the domain of three-dimensional (3D) object capturing in extended reality (XR) environments and to an optimized system and method for passively capturing 3D objects within Extended Reality (XR) environments. A selection of an object from within an XR environment by a user via a user device is detected. A 3D capture session is initiated based on the detection. Scan data corresponding to the selected object is captured during the 3D capture session, where the capturing is performed as a background process on the user device. A 3D representation or model of the object is generated in the XR environment and provided to the user via the user device.

Abstract: Systems and methods are described for identifying, using a sensor, a location of an object in an environment, and determining a classification of the object. A human may be identified in proximity with the object, an identity of the human may be determined, and a determination may be made that a hazardous condition may occur, based on a combination of the location of the object, the classification of the object, and the identity of the human in proximity with the object. In response to determining that the hazardous condition may occur, an augmented reality scene associated with the potentially hazardous condition associated with the object may be generated for presentation, at a user device.

Abstract: Certain aspects of the present disclosure provide a method for generating a map. A method generally includes obtaining sensor data from one or more sensors, the sensor data corresponding to an environment comprising one or more features including a first feature having one or more changes in curvature; inputting the sensor data to a map generation model; and obtaining as output from the map generation model a vectorized map of the one or more features of the environment, wherein the vectorized map represents the first feature as a polyline comprising a plurality of line segments, wherein a comparison of changes of slope between consecutive line segments of the polyline to slopes of the plurality of line segments of the polyline satisfies a threshold.

Abstract: A method is provided that includes: obtaining an editing instruction input by a user in a current round of a dialogue and history dialogue information in at least one history round of the dialogue, wherein the history dialogue information comprises a history dialogue text and at least one history image; determining a source image to be edited from the at least one history image based on the editing instruction and the history dialogue information; and editing the source image to generate a target image based on the editing instruction.

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: A method for manipulating laparoscopic images taken during a laparoscopic procedure using a video laparoscope. The method including: analyzing the laparoscopic images relative to visibility of an object; calculating a placement of a pre-generated 3D model of the object relative to the location of the object in the laparoscopic images; generating a visual representation of the 3D model; comparing at least one of color information and brightness information of the visual representation of the 3D model and of the laparoscopic images at the location of the 3D model and adjusting the representation of the 3D model based on the comparison in regions where the difference is below a predefined threshold; and generating composite images using the laparoscopic images and the adjusted representation of the 3D model.

Abstract: A portable device for projecting medical data of a patient, including a housing, wireless technology that allows the exchange of data between different electronic devices, a projector that can project a light beam image of the data received from the wireless technology onto a desired surface away from the housing, and a coupler that couples the projector to the housing and enables the projector to tilt and/or swivel and/or rotate so that the location of the projected light beam image can be changed, e.g., to display on a ceiling or desired wall. The medical data projected can be glucose level data. The apparatus enables a person to easily obtain information on their glucose levels when they wake at night without having to access an electronic device to obtain the information.

Abstract: A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.

Abstract: The present disclosure provides world-controlled augments and application-controlled augments. World-controlled augments can be controlled directly by a shell in the artificial reality environment. To allow even inexperienced users to develop world-controlled augments, a world-controlled builder system is provided. Application-controlled augments may be resource intensive (e.g., using eye-tracking, social-media tie-ins, etc.), may support complicated interactions among themselves, may require or have extensive use of inputs and permissioned resources, and are controlled by their hosting application. When a running application is halted, the application closes its application-controlled augments but can choose to have the XR system run a “place-holder” world-controlled augment for as long as the application is not running. The place-holder world-controlled augment preserves the appearance of the application in the artificial reality environment but uses few system resources.

Abstract: Digital image processing methods performed by a computer are disclosed. In one example, a digital image captured by a real camera having intrinsic and extrinsic parameters is received. One or more distortion correction transformations are applied to the digital image to generate a distortion-corrected digital image. The distortion-corrected digital image is sub-divided into a plurality of distortion-corrected sub-images. For each distortion-corrected sub-image of the plurality of distortion-corrected sub-images, the distortion-corrected sub-image is associated with a synthesized recapture camera having synthesized intrinsic and extrinsic parameters mapped from the intrinsic and extrinsic parameters of the real camera.

Abstract: A device and system for visual reasoning in augmented reality environments employs adaptive multi-frame capture triggered by detection of user speech. Upon detecting speech, the device or system captures image frames at an initial frame capture rate, increasing capture frequency when a hand is detected in a captured image. Timestamped frames and transcribed speech form a prompt for a multimodal large language model, which extracts relevant details with constrained output. A separate language model then generates a final response. This two-stage approach optimizes processing efficiency and accuracy while preserving privacy by limiting continuous visual data collection. The system enables more natural and context-aware interactions in AR settings without complex gesture recognition algorithms.

Abstract: Three-dimensional (3D) images of a physical environment is obtained. The 3D images are modeled as a 3D data set with real-world objects depicted within the 3D data set. The objects are categorized into independent layers of the physical environment. Each layer is independently modified or enhanced to correct missing image information and image blemishes. The image data of 3D data set is updated with the corrected layers. The 3D data set and the independent layers are associated together as an extensible image data model. The extensible image data model is provided via interfaces to simulate object layout changes within the physical environment and to provide virtual reality (VR) and/or augmented reality (AR) shopping experiences through interfaces.

Abstract: Disclosed herein are systems, methods, and computer program products for object detection. The methods comprise performing the following operations by a computing device: obtaining an image that comprises a plurality of layers superimposed on each other; identifying a center point of a robot on a map; selecting a portion of the map contained in a geometric shape overlaid on the map so as to have a center set to the center point of the robot; obtaining map information associated with the selected portion of the map; generating at least one additional layer using the map information; superimposing the at least one additional layer onto the image to generate a modified image; and performing an object detection algorithm to detect at least one object in the modified image.

Abstract: An image display method, a device, and a medium. The image display method includes acquiring a real-time image of a target body part; and displaying a composite image in real time. The composite image is an image obtained by superposing a target three-dimensional image onto the target body part in the real-time image, the target three-dimensional image is obtained by rendering a wearable component three-dimensional model based on a real-time posture and a real-time unoccluded area of the target body part, and the real-time posture and the real-time unoccluded area are determined based on the real-time image.

Abstract: A communication management server includes circuitry to receive, from a mobile device being movable in a real space and a first communication terminal, information indicating positions of the mobile device and the first communication terminal in the real space. The circuitry generates a virtual space image including an icon of the mobile device and an icon of the first communication terminal that are associated with corresponding positions in a virtual space to appear on the virtual space image based on the information received, and including an icon of a second communication terminal. The circuitry transmits the virtual space image to the second communication terminal and establishes voice communication between the first communication terminal and the second communication terminal in response to receiving, via the second communication terminal, an operation of associating the icon of the second communication terminal with the icon of the mobile device on the virtual space image.