Abstract: Mapping common features between images that commonly represent an environment using different light spectrum data is performed. A first image having first light spectrum data is accessed, and a second image having second light spectrum data is accessed. These images are fed as input to a DNN, which then identifies feature points that are common between the two images. A generated mapping lists the feature points and lists coordinates of the feature points from both of the images. Differences between the coordinates of the feature points in the two images are determined. Based on these differences, the second image is warped to cause the coordinates of the feature points in the second image to correspond to the coordinates of the feature points in the first image.

Abstract: A data processing method, an access network device, and a core network device are provided. The method comprises: the access network device receives first information sent by the core network device or a terminal device; the access network device determines, according to the first information, whether to perform security processing on data to be processed.

Abstract: Systems and methods for object identification are provided. In a method, primary data is received. The primary data is generated by a primary sensor that receives signals that are human perceptible and records a scene. Secondary data generated by a secondary sensor that simultaneously records the same scene is received. The secondary sensor receives signals that are not human perceptible. The primary data is processed to identify object signatures relating to objects present in the scene. The processed primary data is used to train a secondary data-based object identification model configured to identify, in the secondary data, object signatures relating to objects present in the scene. A method includes using the secondary data-based object identification model to process the secondary data to identify object signatures relating to objects present in the scene. A method includes augmenting the processed primary data with the processed secondary data.

Abstract: A system includes a first sensor and a sensor client. During an initial time interval, the sensor client receives top-view images generated by the first sensor and detects contours in the images. The sensor client determines, based on the contours, regions of the top-view images generated by the first sensor to exclude during object tracking. During a subsequent time interval, the sensor client receives a second top-view image generated by the first sensor and detects a contour in the image. The sensor client determines pixel coordinates of the second contour and determines whether at least a threshold percentage of the second pixel coordinates overlap with the region to exclude during object tracking. If at least the threshold percentage of the second pixel coordinates overlap with the region to exclude, a position for tracking the second contour is not determined.

Abstract: An objective of the present invention is, in a stereo camera device, to determine an accurate image position in a direction of progress to detect at an early stage an obstacle or a preceding vehicle on a road. Provided is a stereo camera device for measuring the distance to a solid object from images photographed with a plurality of cameras, said device characterized by: a wide-angle image cropping part for cropping a portion of the images; a distance image cropping part for cropping and enlarging a portion of the images; a road shape determination part for determining a road shape, including slope information, of a road being traveled; and determining, on the basis of the road shape in a prescribed distance, which has been derived with the road shape determination part, the cropping position and/or range of the distance image cropping part.

Abstract: The present invention relates to a system to facilitate the identification of geo-cells, and the distribution of media content. A visitation tracking system is configured to retrieve location data from a client device, identify a geo-cell from among a set of geo-cells based on the location data, access a database that comprises media content associated with one or more physical location within the geo-cell, ranking a first media content among the media content, and loading the first media content at the client device based on the ranking, according to certain example embodiments.

Abstract: Exemplary embodiments include a system having a first device and a second device that are configured to establish a connection via a short-range protocol. The first and second devices perform an advertisement process to automatically identify that the first and second devices are capable of establishing the connection, the advertisement process comprising one of the first device or second device broadcasting an advertisement and the other one of the first device or the second device scanning for the advertisement, wherein, upon the first and second devices identifying that they are capable of establishing the connection, the first and second devices perform a paging mechanism to establish the connection, the paging mechanism comprising one of the first device or the second device transmitting a page and the other one of the first device or the second device scanning for the page, wherein the page triggers an operation to establish the connection.

Abstract: A computer implemented method and system for identifying locations in photographs using topographic techniques is disclosed. The method comprises receiving an image; in response to receiving the image, generating a depth map of the image; removing non-geographic features from the depth map; generating a topographic map based on the depth map; modifying the topographic map to represent each pixel by height differential; and comparing the modified topographic map to a modified global topographic map to determine a location of the image.

Abstract: In one example, a device, computer-readable medium, and method for synchronizing multiple user devices in an immersive media environment using time-of-flight (ToF) light patterns are provided. In one example, a method performed by a processing system of a first device includes detecting a fiducial that is present in a light pattern projected by a second device, wherein the second device is present in a same surrounding environment as the first device, determining an identity of the second device based on an appearance of the fiducial, identifying an expected orientation of the fiducial within the light pattern, based on the identity of the second device, and determining a location of the second device relative to the first device, based on an observed orientation of the fiducial relative to the expected orientation of the fiducial.

Abstract: An image selection device includes a processor configured to: input, for each of a series of images acquired from a camera mounted on a vehicle, the image to a classifier to detect a region including an object represented on the image; track the detected object over the series of images; and select, when a period in which the detected object can be tracked is equal to or more than a predetermined period, and a size of a region including the detected object in any one image during the period in which the object can be tracked is equal to or more than a predetermined size threshold value, among the series of images, an image immediately before the period in which the object can be tracked, or an image in which the tracked object is not represented during the period in which the object can be tracked.

Abstract: An unsupervised method is presented for determining size of an object captured in an image. The method includes: capturing a set of images with a camera, where each image in the set of images is captured with the camera set at a different f-number; for each image in the set of images, computing a quality metric for the image, where the qualitymetric quantifies focus using contrast; identifying a given image in the set of images using the contrast metrics and the f-number of the camera; calculating a hyperfocal distance using parameters of the camera when taking the given image; and quantifying one or more dimensions of the object as a function of the hyperfocal distance; and if the object is known, using a view classifier to estimate the dimension in 3D.

Abstract: A shot detection system can include a shooting target that is made of paper and printed to include fiducials, borders and a bar code together with a scoring region and markings. A method of camera adjustment control can find and lock onto a target. A target acquisition procedure can include extracting a region of interest (image of the shooting target), calibrating the region of interest and then target locking. The real-time target locking procedure can include correcting an image of the region of interest to account for tilt, rotation and skew. A methodology of shot detection can include acquiring probable and confirming shot candidates and then verifying the probably shot candidate with the confirming shot candidates to substantially eliminate falsely identified shots candidates, thereby significantly improving performance and experience.

Abstract: Provided is an image analysis distance information provision system, and the system includes: a computer and an imaging device. The control unit of the computer is configured to perform the following steps according to an image of an object captured by the imaging device: determining the type of the captured object; calculating the actual length of the captured object per unit length of the image of the captured object; calculating the shooting range of the image of the captured object according to the calculation result; and estimating the distance from the imaging device to the captured object according to the calculated shooting range.

Abstract: A method may include obtaining a base facial image, and obtaining a first set of base facial features within the base facial image, the first set of base facial features associated with a first facial AU to be detected in an analysis facial image. The method may also include obtaining a second set of base facial features within the base facial image, the second set of facial features associated with a second facial AU to be detected. The method may include obtaining the analysis facial image, and applying a first image normalization to the analysis facial image using the first set of base facial features to facilitate prediction of a probability of the first facial AU. The method may include applying a second image normalization to the analysis facial image using the second set of base facial features to facilitate prediction of a probability of the second facial AU.

Abstract: Various components of an electronic device housing and methods for their assembly are disclosed. The housing can be formed by assembling and connecting two or more different sections together. The sections of the housing may be coupled together using one or more coupling members. The coupling members may be formed using a two-shot molding process in which the first shot forms a structural portion of the coupling members, and the second shot forms cosmetic portions of the coupling members.

Abstract: A server includes: a memory storing calibration data; and a processor connected with the memory, the processor configured to: obtain a point cloud depicting a capture volume containing a transporter having a body and a holder carrying an object to be dimensioned; obtain a set of positions associated with the transporter; based on the set of positions and the calibration data, select a first portion of the point cloud excluding the body of the transporter and a mast of the holder; based on the calibration data, select a second portion of the point cloud from the first portion, excluding a base of the holder; and dimensioning the object based on the second portion of the point cloud.

Abstract: A tracking device includes an interface connectable to cameras, each acquiring an image and determining an object location within the image, a distance therefrom, and a time; a memory storing first coordinates indicating a camera location with respect to a reference point in a facility, and a first direction towards which each camera faces; and a processor, upon receipt of the location, the distance, and the time, calculating a second direction from the camera to the object, calculating second coordinates indicating an object location with respect to the camera location, calculating and storing with the time third coordinates indicating an object location with respect to the reference point. When locations calculated from the images acquired by the first and second cameras are associated with the same time, the processor calculates a distance therebetween, and when the distance falls within a predetermined range, recalculates the object location based on the locations.

Abstract: Various examples and schemes pertaining to narrowband reference signal (NRS) transmission on non-anchor carriers in narrowband IoT (NB-IoT) are described. A wireless network indicates a subset of one or more paging groups of user equipment (UEs) among a plurality of UEs in an NB-IoT cell. The wireless network then transmits one or more narrowband reference signals (NRSs) in one or more paging frames or one or more paging occasions associated with the subset of one or more paging groups.

Abstract: According to one embodiment, a determination device includes a processor. The processor inputs a first image to a first model when the first image is input to the processor. The first image is of a welding spot when welding. The first model is for determining whether or not an image is appropriate. The processor determines an appropriateness of a weld by using the first image when the first image is determined to be appropriate by the first model, and outputs information for correcting an imaging condition of the welding spot when the first image is determined to be inappropriate by the first model.

Abstract: There are provided a wireless communication method, apparatus and system. The apparatus, at a first node configured to receive a first channel and/or transmit a second channel, comprising: a receiver, which in operation, receives a first channel; a transmitter, which in operation, transmits a second channel; a circuitry, which, in operation, determines at least part of at least one of the first channel and the second channel to be shortened, according to characteristic of the at least one of the first channel and the second channel, and, in response to said determining, shortens the at least part of the at least one of the first channel and the second channel.