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.

Abstract: The present invention presents a universal reconfigurable video stream processing system where a digital twin is applied to 3D marker cloud mapping of a set of parameters, related to the current state of the monitored person (object). The invention includes two reconfigurable units, with at least one of these units being universally adjusted for any input-output mapping application with fixed input size, fixed output size and numerical values ordered by their meaning. Each reconfigurable unit includes at least one machine learning based mathematical model with a high number of parameters and non-linear functions performing as a universal approximator and ensuring high flexibility during training process.

Abstract: A method for execution by a computing device includes obtaining a set of media element identigens for media elements of media to produce sets of media element identigens. The sets of media element identigens are possible interpretations of a media element. The method further includes generating a set of relationships between media elements. The relationships provide a list of one or more ways in which the media elements are related. The method further includes processing different permutations of the sets of media element identigens using the set of relationships to generate an entigen group. The entigen group represents a most likely interpretation of the media.

Abstract: An efficient and robust high-speed neural networks for cell image classification is described herein. The neural networks for cell image classification utilize a difference between soft-max scores to determine if a cell is ambiguous or not. If the cell is ambiguous, then the class is classified in a pseudo class, and if the cell is not ambiguous, the cell is classified in the class corresponding to the highest class score. The neural networks for cell image classification enable a high speed, high accuracy and high recall implementation.

Abstract: Provided are methods for end-to-end perception system training using fused images, which can include fusing different types of images to form a fused image, extracting features from the fused image, calculating a loss, and modifying at least one network parameter of an image semantic network based on the loss. Systems and computer program products are also provided.

Abstract: A system is provided that includes a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive an image depicting a parking spot, determine a length of the parking spot based on a classified endpoint of the parking spot, compare the length to an average length, and determine an endpoint of the parking spot when the length is less than the average length, wherein the determined endpoint is distal to the classified endpoint.

Abstract: An image correction method includes: capturing speckle patterns on two planes at different distances to obtain a first image of speckle projected on a first plane and a second image of speckle projected on a second plane; matching the first image with the second image to obtain sub-pixel matching points; obtaining, based on first physical coordinates of the sub-pixel matching points on the first image and second physical coordinates of the sub-pixel matching points on the second image, a mapping matrix between the first and second physical coordinates; obtaining a direction vector of a center of the speckle projector in a camera reference frame according to the mapping matrix; adjusting coordinate axis directions of the camera reference frame to align a horizontal axis direction with the direction vector, updating an imaging matrix of the camera; and mapping a target scene image through the imaging matrix to obtain a corrected image.

Abstract: Provided are a method and apparatus for identifying the presence of a 3D object using an image. According to the method and the apparatus, two-dimensional images are used to identify whether a 3D object exists in the images. According to the method and apparatus for identifying the presence of a 3D object by using an image, the presence of a 3D object in space can be accurately and quickly identified by using two-dimensional images, leading to higher productivity.

Abstract: Described herein are systems, methods, and other techniques for evaluating a classifier model. The classifier model may be provided with a set of elements to be classified into N classes. Classification results may be obtained from the classifier model. N class-specific precisions and N class-specific recalls for the N classes may be computed based on the classification results. N class-specific precision weights and N class-specific recall weights corresponding to the N classes may be obtained. A weighted f-measure may be computed by weighting the N class-specific precisions with the N class-specific precision weights and weighting the N class-specific recalls with the N class-specific recall weights.

Abstract: A system and method for animal disease management is disclosed. The method includes receiving one or more images, one or more videos of one or more animals or a combination thereof and identifying one or more faces of the one or more animals in the one or more images, the one or more videos of one or more animals or a combination thereof. The method further includes extracting one or more facial features and one more muzzle features from the one or more faces and determining one or more facial changes and one or more muzzle changes. The method includes detecting presence or absence of one or more diseases in the one or more animals, predicting likelihood of the one or more diseases or a combination thereof based on the one or more facial changes, the one or more muzzle changes and the predefined information.

Abstract: A hydrocarbon exploration system includes a plurality of computer nodes, each comprising a processor and memory coupled to the processor. The computer nodes are configured to implement a well identification system and a well location system. The well identification system is configured to analyze features of an image at a given set of geographic coordinates, and to determine, based on the features, whether a well is present at the geographic coordinates. The well location system is configured to, responsive to the well identification system determining that a well is not present at the geographic coordinates, render, at the geographic coordinates, a first indication of a potential incorrect location of the well in the image, and to render a second indication of a potential correct location of the well in the image.

Abstract: According to some embodiments of the present disclosure, the disclosure relates to an application system and server kit that create and serve digital twin-enabled applications. This disclosure also relates to a hub-and-spoke classification system. This disclosure also relates to a location-based services framework that leverages a generative content process to improve location prediction. This disclosure also relates to virtual reality and augmented reality applications, as well as digital agents that support various types of applications.

Abstract: An object tracking apparatus includes a motion vector calculation unit, a feature amount area determination unit, a reliability evaluation unit, a weight map creation unit, and an object tracking unit. The motion vector calculation unit is configured to calculate a motion vector between images. The feature amount area determination unit is configured to determine an area of an object detected from an image as a feature amount area. The reliability evaluation unit is configured to evaluate a reliability of the motion vector between images and a motion vector in the feature amount area. The weight map creation unit is configured to create a weight map based on the motion vector between images, the reliability, and the motion vector in the feature amount area. The object tracking unit is configured to track the object based on the weight map.

Abstract: One or more multi-stage optimization iterations are performed with respect to a compression algorithm. A given iteration comprises a first stage in which hyper-parameters of a perceptual quality algorithm are tuned independently of the compression algorithm. A second stage of the iteration comprises tuning hyper-parameters of the compression algorithm using a set of perceptual quality scores generated by the tuned perceptual quality algorithm. The final stage of the iteration comprises performing a compression quality evaluation test on the tuned compression algorithm.

Abstract: Methods, systems, and media for simulating movement data of pedestrians in a district are provided.

Abstract: A method and a device for acquiring a vehicle feature are provided. In the method, a to-be-processed image including a vehicle is acquired. A feature element of the vehicle is then recognized from the to-be-processed image, where the feature element may be a side element and an element of a vehicle end, and the vehicle-end may be a head of the vehicle or a rear of the vehicle. Based on a position of the side element in the to-be-processed image and a position of the element of the vehicle end in the to-be-processed image, a side region of the vehicle and an end region of the vehicle are determined.

Abstract: A terminal device is provided and is configured to display, on a first screen, a first number of one or more fields where one or more defective plants are detected, change a displayed screen from the first screen to a second screen, in a case where an instruction to change a screen is received, wherein one or more pictures of plants in a first field is displayed on the second screen, display, on a second screen, a second number of a field where one or more defective plants are detected, wherein the second number is less than the first number; and display, on the second screen, an user interface to instruct to change a displayed screen from the second screen to a third screen, wherein one or more pictures of plants in a second field is displayed on the second screen.

Abstract: Methods, systems and computer program products (“software”) enable a virtual three-dimensional visual experience (referred to herein as “V3D”) in videoconferencing and other applications; the capturing, processing and displaying of images and image streams; and generation of a facial signature based on images of a given human user's or subject's face, or face and head, for accurate, reliable identification or authentication of a human user or subject, in a secure, difficult to forge manner.