Abstract: Techniques for building and managing data models are provided. According to certain aspects, systems and methods may enable a user to input parameters associated with building one or more data models, including parameters associated with sampling, binning, and other factors. The systems and methods may automatically generate program code that corresponds to the inputted parameters and display the program code for review by the user. The systems and methods may build the data models and generate charts and plots depicting aspects of the data models. Additionally, the systems and methods may combine data models and select champion data models.

Abstract: In some examples, processing circuitry receives at least a first mesh frame associated with a first time instance and a second mesh frame associated with a second time instance. The first mesh frame includes a first two dimension (2D) map with first patches having three-dimension (3D) information mapped to 2D. The second mesh frame includes a second 2D map with second patches having 3D information mapped to 2D. The processing circuitry identifies that a first patch in the first patches is a reference matching patch for a second patch in the second patches. Further, the processing circuitry determines first re-map transform parameters for a temporal alignment of the second patch to the first patch, and generates a new second 2D map that includes a transformed second patch that is transformed from the second patch according to the first re-map transform parameters.

Abstract: Disclosed herein are an apparatus and method for providing a missing child search service based on face recognition using deep learning.

Abstract: A system and method for flood hazard estimation inputs a satellite elevation map and applies a machine learning model to output a geographic map representing flood hazard areas. The machine learning model is trained using a generative adversarial network (GAN) to produce an output of a deterministic hazard mapping algorithm. A GAN objective applies a loss function, reweighted to increase the importance of high hazard areas. The method retrieves a DEM topography file representing elevation data of an identified terrain, and applies a sink-filling algorithm to detect and fill sinks in the DEM topography. The algorithm subtracts the DEM elevation data to generate a filled topography, and identifies flattest regions of the filled topography. The algorithm then generates a flood hazard map by merging the filled topography and the DEM elevation data, using a weighting function that balances the detected sinks and the flattest regions of the filled topography.

Abstract: A fraudulent act recognition device is configured to be operatively coupled to a camera that monitors operation of a settlement terminal by a purchaser. The fraudulent act recognition device includes a controller configured to recognize a commodity registration operation of the settlement terminal initiated by the purchaser. The controller is configured to review imaging data provided by the camera to recognize an action of the purchaser who performs the commodity registration operation. The controller is configured to determine whether an action of the purchaser is indicative of a fraudulent act. The controller is configured to provide a notification in response to a determination that the action of the purchaser is indicative of the fraudulent act.

Abstract: The present disclosure relates to a communication technique that combines a 5G communication system for supporting a data rate that is higher than that of a beyond 4G system with IoT technology, and a system thereof. The present disclosure may be applied to intelligent services on the basis of 5G communication technology and IoT related technology, such as smart home, smart building, smart city, smart car or connected car, health care, digital education, retail, security and safety related services. Disclosed is a method for causing a cellular network itself to receive provisioning of a SIM profile to make it possible to use a normal cellular network service.

Abstract: An information processing apparatus includes a first detector configured to detect an object based on captured image information generated by an image capturing apparatus; a second detector configured to, in response to the object being detected by the first detector, detect a user operation carried out with regard to the object, the user operation involving a change in a state of the object; and a display controller configured to, in response to the user operation being detected by the second detector, generate an image that is associated with the object and the user operation, to display the generated image on a display apparatus.

Abstract: This disclosure relates to a spatial calibration method and apparatus of a robot ontology coordinate system based on a visual perception device and a storage medium. The method includes: obtaining first transformation relationships; obtaining second transformation relationships; using a transformation relationship between a visual perception coordinate system and an ontology coordinate system as an unknown variable; and resolving the unknown variable based on an equivalence relationship between a transformation relationship obtained according to the first transformation relationships and the unknown variable and a transformation relationship obtained according to the second transformation relationships and the unknown variable, to obtain the transformation relationship between the visual perception coordinate system and the ontology coordinate system.

Abstract: The present invention provides a personalized registration method for a template library of anatomical morphology and mechanical properties of materials of bone CT images. In the method, a large number of bone CT images of healthy persons are used to build a statistical model capable of containing anatomical morphology and mechanical properties of materials of bones, the parameterized description of bones of a patient is realized by a personalized registration method for the statistical model and bone CT images, a prosthesis template library is built by using images of the patient and registration parameters, and the template library is matched with the CT images of the patient by the personalized registration method to retrieve template images and prosthesis models similar to the bone conditions of the patient from the template library as the initial reference template for design of personalized prosthesis implants.

Abstract: Techniques are described for providing location-based information and functionality to people and computing devices in various ways. In at least some situations, the techniques include enabling multiple people in a common geographic area to interact in various ways, such as via devices capable of communications (e.g., cellular telephones, computing devices with wired and/or wireless communications capabilities, etc.), while in other situations at least some users who are remote from a particular geographic area may be allowed to intercommunicate with one or more other users or other entities in or related to that geographic area. In addition, the techniques include enabling the creation and maintenance of location-based virtual groups of users (also referred to as “clouds”), such as for users of mobile and/or fixed-location devices. Such clouds may enable various types of interactions between group members, and may be temporary and/or mobile.

Abstract: Systems and methods for image optimization are provided. The system may obtain an image to be processed. The system may determine a quality feature of the image. The system may input the image and the quality feature into an image processing model. The system may also determine an optimized image of the image based on an output of the image processing model.

Abstract: A vessel image, which maps a vessel structure, and a device image, which maps a device, are created. A processor, depending on the device image and the vessel image, creates an overlaying image. At least one filter algorithm is applied to the device image, creating a filtered device image. The overlaying image is created by overlaying of the vessel image with the filtered device image.

Abstract: A system and method of anonymization of a face in a set of images by at least one processor, the method including: receiving a first set of images; extracting from the first set of images a first face, depicting a person and having a first set of attributes; and performing a perturbation of the first face to produce a second face having a second set of attributes, wherein the second set of attributes is adapted to be visually perceived by a viewing entity as being substantially equivalent to the first set of attributes, and wherein the second face is adapted to be visually perceived by a viewing entity as not pertaining to the depicted person.

Abstract: Embodiments include systems and methods for remotely measuring distances in an environment captured by a device. A device captures a video stream of a device along with AR data that may include camera pose information and/or depth information, and transmits the video stream and AR data to a remote device. The environment may be analyzed to identify objects such as lines, edges, curves, shapes, anchors/corners, products, e.g., appliances, and other things of interest. Some or all of objects may be identified to the remote device to facilitate selecting an object or region of interest. Selected points for an object may be more precisely located by snapping them to corresponding anchor points for an object. Using anchor points facilitates more precise identification and/or measurement of an aspect of an object, such as one of its dimensions, the volume of a space, or performing other actions such as replacement of an object.

Abstract: A system and method for learning temporally consistent video synthesis using fake optical flow that include receiving data associated with a source video and a target video. The system and method also include processing image-to-image translation across domains of the source video and the target video and processing a synthesized temporally consistent video based on the image-to-image translation. The system and method further include training a neural network with data that is based on synthesizing of the source video and the target video.

Abstract: A device for analyzing cell morphology and a method for identifying cells are provided. A digital camera photographs a cell image of a blood sample under a low-magnification objective lens. A processor identifies and positions suspected cells of preset type in the cell image to obtain an identification result. Based on the identification result and a target number, the processor determines a number of suspected cells of preset type to be identified and positioned under the low-magnification objective lens. The digital camera further photographs, under a high-magnification objective lens, the suspected cells of preset type identified and positioned, and then the processor identifies whether the suspected cells of preset type photographed are cells of preset type, to count the number of cells of preset type photographed under the high-magnification objective lens and obtain a statistical value. If the statistical value?the target number, photographing is stopped.

Abstract: A mixed reality (MR) system and method performs three dimensional (3D) tracking using 3D deep neural network structures in which multimodal fusion and simplified machine learning to only cluster label distribution (output of 3D deep neural network trained by generic 3D benchmark dataset) is used to reduce the training data requirements of to directly train a 3D deep neural network structures for non-generic user case. In one embodiment, multiple 3D deep neural network structures, such as PointCNN, 3D-Bonet, RandLA, etc., may be trained by different generic 3D benchmark datasets, such as ScanNet, ShapeNet, S3DIS, inadequate 3D training dataset, etc.

Abstract: An apparatus includes: a deflection acquiring unit that acquires a deflection amount caused in a measurement target region on a structure by a vehicle traveling on the structure; a vehicle position acquiring unit that acquires a position of the vehicle on the structure at time when the deflection amount is acquired; and a rigidity coefficient calculating unit that calculates a rigidity coefficient specifying a relation between a magnitude of a force applied to the structure due to a weight of the vehicle and flexural rigidity of the structure, from a relation equation, the acquired deflection amount, and the detected position of the vehicle. The relation equation is established among a position of the vehicle on the structure, the magnitude of the force, a position of the measurement target region on the structure, a length of the structure, the flexural rigidity, and a deflection amount caused in the measurement target region.

Abstract: A computer-implemented method including: capturing visible-light images via visible-light camera(s) from view points in real-world environment, wherein 3D positions of view points are represented in coordinate system; dividing 3D space of real-world environment into 3D grid of convex-polyhedral regions; creating 3D data structure including nodes representing convex-polyhedral regions of 3D space; determining 3D positions of pixels of visible-light images based on 3D positions of view points; dividing each visible-light image into portions, wherein 3D positions of pixels of given portion of said visible-light image fall inside corresponding convex-polyhedral region; and storing, in each node, portions of visible-light images whose pixels' 3D positions fall inside corresponding convex-polyhedral region, wherein each portion of visible-light image is stored in corresponding node.

Abstract: This application provides an image denoising method and apparatus, and relates to the artificial intelligence field and specifically relates to the computer vision field. The method includes: performing resolution reduction processing on a to-be-processed image to obtain a plurality of images whose resolutions are lower than that of the to-be-processed image; extracting an image feature of a higher-resolution image based on an image feature of a lower-resolution image to obtain an image feature of the to-be-processed image; and performing denoising processing on the to-be-processed image based on the image feature of the to-be-processed image to obtain a denoised image. This application can improve an image denoising effect.