Abstract: Implementations relate to updating agricultural records that include inferences gathered by one or more sensors deployed at an agricultural location. The records are matched to mapping tiles of a mapping application and the mapping tile records are updated according to the updated data that was received. Implementations further include identifying parent tiles to each of the updated records, where a parent tile is an aggregation of multiple mapping tiles that can be utilized by a mapping application to render an interface that allows a user to view the data with varying degrees of granularity.

Abstract: A system comprises a processor and a memory having computer readable instructions stored thereon, which, when executed by the processor, cause the system to display an image of a surgical environment. The image includes an information icon corresponding to an instrument in the surgical environment. The instructions further cause the system to display an image of a body part of a user. The image of the body part is used to interact with the information icon. The instructions further cause the system to receive a gesture of the body part, via a gesture-based input device registering movement of the body part, to cause the image of the body part to interact with the information icon. The instructions further cause the system to display an information menu in the image of the surgical environment based on the interaction between the image of the body part and the information icon.

Abstract: Model data of a virtual model imitating an object model is generated based on photographed data obtained by photographing the object model including a joint structure. A given applied joint structure is applied to the virtual model. The virtual model based on the model data is disposed in a given virtual space. Virtual model management data including the model data and data of the applied joint structure is stored in a predetermined storage section or is externally output as data for causing a joint of the virtual model to function.

Abstract: Aspects of the present disclosure involve a system for presenting AR items. The system performs operations including: receiving an image that includes a depiction of a first real-world body part in a real-world environment; applying a machine learning technique to the image to generate a plurality of dense outputs each associated with a respective pixel of a plurality of pixels in the image; applying a first task-specific decoder to the plurality of dense outputs to identify a pixel corresponding to a center of the first real-world body part; applying a second task-specific decoder using the identified pixel to retrieve a 3D rotation, translation and scale of first real-world body part from the plurality of dense outputs; modifying an AR object based on the 3D rotation, translation, and scale of first real-world body part; and modifying the image to include a depiction of the modified AR object.

Abstract: The disclosure discloses an object comparison method and apparatus, relating to the technical field of computers. One specific implementation mode of the method comprises: acquiring, in response to a selection operation of at least two objects in an object list, corresponding object information according to identifiers of the at least two objects; performing, on the basis of each object information, three-dimensional model information rendering to obtain three-dimensional model information of each of the objects; and receiving image information of a real scenario to construct three-dimensional reconstruction information of the real scenario, and superimposing the three-dimensional model information of each of the objects onto the three-dimensional reconstruction information for display and comparison.

Abstract: A graphics processing hardware pipeline is arranged to perform an edge test or a depth calculation. Each hardware arrangement includes a microtile component hardware element, multiple pixel component hardware elements, one or more subsample component hardware elements and a final addition and comparison unit. The microtile component hardware element calculates a first output using a sum-of-products and coordinates of a microtile within a tile in the rendering space. Each pixel component hardware element calculates a different second output using the sum-of-products and coordinates for different pixels defined relative to an origin of the microtile. The subsample component hardware element calculates a third output using the sum-of-products and coordinates for a subsample position defined relative to an origin of a pixel.

Abstract: A system that includes a depth perception camera to estimate or otherwise measure the dimensions of a proposed carry-on item to determine whether the proposed carry-on item complies with limitations associated with a user. The system is configured to enable checking the proposed carry-on item and receiving payment for the checked item when the item exceeds the limitations associated with the user. Displayed to the user are dimension lines associated with the maximum dimensions of the limitations and/or the captured dimensions of the proposed carry-on item.

Abstract: The present application provides an image stitching method, apparatus and device based on reinforcement learning and a storage medium. The method includes: acquiring initial calibration parameters, collecting a sample image and position information of a motion platform; setting a negative reward function; acquiring a state set and a negative reward value set according to a randomly generated action set, the initial calibration parameters, the position information of the motion platform and the negative reward function to construct a probability kinematics model; constructing a state value function based on an occurrence probability of the state, and acquiring an optimal action by optimizing the state value function; and acquiring optimized calibration parameters through the optimal action and the initial calibration parameters, and carrying out image stitching on corresponding sample images through the optimized calibration parameters.

Abstract: An information processing system comprises processing circuitry configured to render a virtual space; render each mobile medium associated with each user, each mobile medium being able to move within the virtual space; associate designated movement authority information to a first mobile medium, the first mobile medium being associated with a first user based on a first input from the first user; switch the designated movement authority information from association with the first mobile medium to association with a second mobile medium, the second mobile medium being associated with a second user different from the first user and based on a second input from the first user; and judge, based on the designated movement authority information, whether to allow one mobile medium to move toward a designated position within the virtual space.

Abstract: In one implementation, a method of displaying content is performed at a device including a display, one or more processors, and non-transitory memory. The method includes scanning a first physical environment to detect a first physical object in the first physical environment and a second physical object in the first physical environment, wherein the first physical object meets at least one first object criterion and the second physical object meets at least one second object criterion. The method includes displaying, in association with the first physical environment, a virtual object moving along a first path from the first physical object to the second physical object.

Abstract: An electronic device operating method applied to an electronic device. The method includes obtaining hand operation information at least related to a posture of an operator, determining an operation mode of the operator based on the hand operation information, and directing the electronic device to a state corresponding to the operation mode based on an association relationship between the operation mode and a preset operation function of the electronic device.

Abstract: Methods and systems for estimation of a 3D hand pose are disclosed. A 2D image containing a detected hand is processed using a U-net network to obtain a global feature vector and a heatmap for the keypoints of the hand. Information from the global feature vector and the heatmap are concatenated to obtain a set of input tokens that are processed using a transformer encoder to obtain a first set of 2D keypoints representing estimated 2D locations of the keypoints in a first view. The first set of 2D keypoints are inputted as a query to a transformer decoder, to obtain a second set of 2D keypoints representing estimated 2D locations of the keypoints in a second view. The first and second sets of 2D keypoints are aggregated to output the set of estimated 3D keypoints.

Abstract: The present invention relates to a method and an apparatus for composing a background and a face by using a deep learning network, comprising: receiving an input of an original face image and a converted face image, and extracting data preprocessing and feature vectors for each image; generating a face feature vector mask from the extracted feature vectors; and generating a composite image by performing adaptive object normalization on the basis of the generated face feature vector mask.

Abstract: Aspects of the subject disclosure may include, for example, capturing a first depiction of an exhibit environment, wherein the first depiction of the exhibit environment comprises an image of at least one artifact and an image of at least one interface element, and wherein the at least one interface element is located in the exhibit environment at a first location relative to the at least one artifact; obtaining a first user profile of a first user, wherein the first user profile comprises at least one first preference of the first user, and wherein the first user is located in a first remote environment; and facilitating a presenting of a first modified version of the first depiction of the exhibit environment in the first remote environment, wherein the first modified version moves the image of the at least one interface element to a second location relative to the at least one artifact, wherein the second location is different than the first location, and wherein the second location is selected based upon

Abstract: Systems, methods, and computer readable media for messaging system with augmented reality (AR) makeup are presented. Methods include processing a first image to extract a makeup portion of the first image, the makeup portion representing the makeup from the first image and training a neural network to process images of people to add AR makeup representing the makeup from the first image. The methods may further include receiving, via a messaging application implemented by one or more processors of a user device, input that indicates a selection to add the AR makeup to a second image of a second person. The methods may further include processing the second image with the neural network to add the AR makeup to the second image and causing the second image with the AR makeup to be displayed on a display device of the user device.

Abstract: This disclosure is directed toward systems and methods of pre-multiplied alpha handling during image processing operations. The image processing circuitry may include hardware that enables removal and insertion of pre-multiplied alpha content into red, green, blue (RGB) pixel values during gamma and scaling operations. The division by alpha and multiplication by alpha hardware may enable removal of pre-multiplied alpha content to RGB pixel values prior to gamma operations and insertion of pre-multiplied alpha content into RGB pixel values prior to scaling operations.

Abstract: Certain aspects of the present disclosure provide techniques for providing a chronologically-based search engine. Example methods includes presenting, on a display of an end-user device, live image data being captured by a camera of the end-user device, determining a pose of the end-user device, and sending the pose of the device to a server. The method also includes receiving location specific data from the server, the location specific data based on the pose of the end-user device, the location specific data including a first topic, and superimposing, on the live image data, based on the location specific data, (i) at least one highlighted area of an object associated with the first topic, and (ii) a query panel associated with the first topic superimposed proximate the object, the at least one highlighted area and the query panel being interactive elements associated with the first topic.

Abstract: An electronic device includes an input module configured to receive, from a user, an input of a plurality of emotion representation contents representing emotions, a display, and a processor electrically connected to the input module and the display. The processor is configured to, in response to at least one emotion representation content among the plurality of emotion representation contents being different from other emotion representation contents among the plurality of emotion representation contents, present a recommended animation representation based on an emotion combination of the plurality of emotion representation contents.

Abstract: Described herein are systems and methods for structure scan using an unmanned aerial vehicle. For example, some methods include accessing a three-dimensional map of a structure; generating facets based on the three-dimensional map, wherein the facets are respectively a polygon on a plane in three-dimensional space that is fit to a subset of the points in the three-dimensional map; generating a scan plan based on the facets, wherein the scan plan includes a sequence of poses for an unmanned aerial vehicle to assume to enable capture, using image sensors of the unmanned aerial vehicle, of images of the structure; causing the unmanned aerial vehicle to fly to assume a pose corresponding to one of the sequence of poses of the scan plan; and capturing one or more images of the structure from the pose.

Abstract: A CPU determines whether a first condition related to a current position of a subject is satisfied, determines whether a second condition different from the first condition and related to at least one of the current position of the subject and a motion state of the subject is satisfied, and controls a display mode of a display unit on the basis of a determination result as to whether the first condition is satisfied and a determination result as to whether the second condition is satisfied.