Abstract: A system and a method for detecting a pile of material by an autonomous machine. A 3D point cloud method includes obtaining a 3D point cloud indicative of an environment having a material pile, performing a ground surface estimation on the point cloud to identify non-ground points, grouping the non-ground points into clusters based on a proximity metric, creating a normalized height histogram for each of the clusters, comparing the normalized height histogram of each cluster to a generalized pile histogram, and identifying a cluster as a pile based on the similarity between the normalized height histogram and the generalized pile histogram. A 2D image method includes obtaining a 2D image from an imaging device, calibrating the imaging device with respect to a coordinate frame of the machine, and autonomously detecting an image of a material pile in the two-dimensional image using a trained deep-learning neural network.

Abstract: A method includes determining the following for each point in a second intraoral scan based on a comparison of a first intraoral scan to the second intraoral scan: whether a surface normal at the point is co-directional with a viewing direction associated with the first intraoral scan, wherein points in the second intraoral scan that have a surface normal that is co-directional with the first viewing direction are back-face points; and whether the point is behind a corresponding point in the first intraoral scan, wherein points in the second intraoral scan that are not behind corresponding points in the first intraoral scan are uncovered points. The method further includes determining a region comprising a plurality of points in the second intraoral scan that are uncovered back-face points, determining that the region satisfies one or more removal criteria, and removing the region from the second intraoral.

Abstract: An image processing method is disclosed, comprising comparing a first image and a modified second image, the modified second image comprising a copy of the first image in which at least one pixel value of one or more pixels have been modified, and based on the result of the comparison, generating first image reconstruction information which can be combined with the modified second image to reconstruct the first image. A corresponding image reconstruction method comprises combining the image reconstruction information with the modified second image to reconstruct the first image. Apparatus for implementing the methods is also disclosed.

Abstract: A food safety related management method includes: allowing a terminal to access an authenticated account; receiving reported data in relation to a defective food product from the terminal; searching a database for piece(s) of highly related data each related to a defective food product and each with a purchase time within a time interval that is defined based on the reported data; searching the piece(s) of highly related data for one(s) with overlapping issues of concern and identical merchant information with the reported data; creating a communication group for communication among accounts used to upload the reported data and said one(s) of the piece(s) of highly related data; and inserting the reported data into the database.

Abstract: A method of image processing in wireless channel environment comprises steps of: dividing a frame of content image data into multiple blocks defined by a line; wirelessly transmitting the multiple blocks per line by coding channels in channel coding units by defining a transmission code rate according to a wireless channel environment information; determining whether there is a channel error for each block after decoding a received data; extracting an information of an image of an errored block; determining an image error correction method suitable for the extracted information; replacing the errored block with an error-corrected block according to the determined image correction method; and performing a post processing process to eliminate visual unnaturalness between the replaced block and a neighboring block at a block boundary.

Abstract: The systems and methods may transmit a plurality of locationing pulse requests from a mobile device in a vehicle to an audio system of the vehicle during a period of operation of the vehicle. The audio system may have an array of speakers disposed inside the vehicle, and the locationing pulse requests may include a request to emit a locationing pulse from the array of speakers. The systems and methods may further receive the locationing pulse at a microphone of the mobile device; and determine, based upon receiving the locationing pulse, that the vehicle was in service of a TNC company, or otherwise operating as a TNC vehicle, during the period of operation based upon passengers entering and leaving the vehicle during the period of operation. Insurance covering the operation of the vehicle for TNC use may be verified, and/or alternatively, offered to facilitate insuring TNC vehicle operation.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving a request to authenticate a document image. The image is preprocessed to prepare the image for line orientation analysis. The preprocessed image is analyzed to determine lines in the preprocessed image. The determined lines are automatically analyzed by performing line orientation test(s) on the determined lines to generate line orientation test result(s) for the preprocessed image. The line orientation test result(s) are evaluated to determine whether the image is authentic. In response to determining that at least one line orientation test result matches a predefined condition corresponding to an unauthentic document, a determination is made that the image is not authentic.

Abstract: Embodiments for establishing configurations for a location sharing session are described. A location sharing session can include a sharing device gathering location data and providing it to a recipient device, e.g. via a server system. Configurations for a sharing session can include, for example: a duration that the sharing device provides the location data or that the sever system permits access to location data by the recipient device; preferences for how to manually or automatically set the duration for the sharing session; options to automatically end the sharing session; etc. A sharing session duration can be automatically set based on, e.g. an estimated time of arrival, a specified mode of transport, etc., and can include a specified amount of buffer time. The automatic share duration can last until a particular event occurs, e.g. the sharing device arriving at a particular location.

Abstract: According to one embodiment, an information processing apparatus includes a memory and a processor. The memory stores a background image that does not include a detection target, a detection target image that is an image of the detection target, and label information that indicates the detection target of the detection target image. The processor performs trapezoid correction on the background image, generates a composite image by superimposing the detection target image on the background image subjected to the trapezoid correction, and generates learning data based on the composite image and the label information.

Abstract: A three-dimensional shape measurement system includes: an articulated robot having a plurality of axes; at least one three-dimensional vision sensor mounted to the articulated robot and configured to measure a three-dimensional shape of an object to be imaged; a storage unit configured to store distance images representing the three-dimensional shape measured respectively in a plurality of measurement areas including an overlap region; and an integrating unit configured to integrate the plurality of distance images stored in the storage unit in such a manner that parts of the distance images corresponding to the overlap region are superimposed on each other, to thereby generate an integrated distance image.

Abstract: Techniques are provided for identifying structural elements of a document. One Methodology includes generating a first channel of rasterized content by rasterizing a full page of the document and generating one or more additional channels of rasterized content from the page of the document by rasterizing one or more corresponding content types from the page of the document. Each of the one or more additional channels includes a specific type of content that is different from each of the other one or more additional channels. The methodology further includes inputting the first channel of rasterized content and the one or more additional channels of rasterized content into a machine learning (ML) model. The methodology continues with determining location and classification for each of a plurality of structural elements on the page of the document using the ML model.

Abstract: Systems and methods for authenticating material samples are provided. Digital images of the samples are processed to extract computer-vision features, which are used to train a classification algorithm. The computer-vision features of a test sample are evaluated by the trained classification algorithm to identify the test sample.

Abstract: A method of tracking a source display panel from which an illegal copy of an image is captured by a camera is provided. The method includes generating a content image visible to human eyes using a visible light component integrated in an integrated light emitting source; generating a watermark image invisible to the human eyes in real time using an invisible light component integrated in the same integrated light emitting source; and simultaneously displaying the content image and the watermark image on the source display panel. Generating the watermark image includes generating an image of an identifier unique to the source display panel. The method further includes analyzing the image captured by the camera to extract the image of an identifier unique to the source display panel; and identifying the source display panel based on the identifier unique to the source display panel.

Abstract: Examples described herein generally relate to processing a first image captured by the first camera at a first time to determine a first set of multiple key points of a face, processing a second image captured by the second camera at a second time to determine a second set of the multiple key points on the face in the second image, determining a location of at least a portion of the multiple key points in a three-dimensional space based on a first location of each of the portion of the multiple key points in the first image and a second location of each of the portion of the multiple key points in the second image, and detecting whether the face is a valid three-dimensional face for facial recognition based at least in part on the location of at least the portion of the multiple key points in the three-dimensional space.

Abstract: This application discloses a communication method and a communications apparatus. The method includes: receiving, by a terminal device, reference signal configuration information sent by a network device, where the reference signal configuration information includes at least one of the following information: a beam sweeping type and a reference signal beam indication; receiving, by the terminal device, a reference signal and data that are sent by the network device; and determining, by the terminal device based on the reference signal configuration information, whether data can be mapped onto another resource element that is located on a same orthogonal frequency division multiplexing (OFDM) symbol as the reference signal. The corresponding apparatus is further disclosed. According to technical solutions provided in this application, reliable data reception can be implemented.

Abstract: There is provided a method and device for provisioning emergency number information on a user equipment. When a dialed number matches an emergency number from the provisioned emergency number information, the user equipment selects either the circuit switched domain or the packet switched domain and executes a call setup procedure for that domain.

Abstract: In one implementation, a method includes obtaining, for a particular pixel of an image, a real pixel value and a virtual pixel value. The method includes obtaining, for the particular pixel of the image, a first alpha and a second alpha. The method includes generating, for the particular pixel of the image, a combined pixel value as a weighted average of the real pixel value and the virtual pixel value, the weighting being based on at least one of the first alpha and the second alpha.

Abstract: Techniques for measuring a monument, including obtaining a set of two or more images of a monument environment, detecting a set of markers in the set of images, wherein the set of markers are positioned on a plane level with respect to gravity by a leveling device, and wherein the leveling device is configured to automatically level the markers, generating a virtual representation of the monument environment with respect to gravity, mapping the monument to a virtual representation, determining one or more slopes and dimensions of the monument based on the mapped monument and the gravity plane, and outputting the one or more slopes and dimensions of the monument.

Abstract: The disclosure discloses a method for dynamically monitoring the content of a rare earth element (REE) component based on a time-series feature. Using an image information acquisition device to periodically acquire a time-series image of a rare earth (RE) solution to be monitored; extracting a time-series feature of the time-series image in a mixed color space; determining whether a time-series feature value of the time-series image is in an expected interval of the mixed color space; calculating a histogram intersection distance between the time-series image and a sample image in a sample data set in the HSV color space, and determining the content of the REE component corresponding to the time-series image according to a component content corresponding to a sample image with a larger histogram intersection distance, if the determination result indicates no; otherwise, directly waiting for the acquisition of a time-series image at a next sampling time point.

Abstract: The present invention provides a classification method for automatically identifying wafer spatial pattern distribution, comprising the following steps: performing statistical analysis to distribution of defects on a wafer, the defects being divided into random defects, repeated defects and cluster defects; performing denoising and signal enhancement to the cluster defects; performing feature extraction to the cluster defects after denoising and signal enhancement; and performing wafer spatial pattern distribution classification to the cluster defects after feature extraction. By performing statistical analysis and neural network training to a great amount of wafer defect distribution, the spatial patterns in defect distribution can be automatically identified, the automatic classification of wafer spatial patterns can be realized, the workload of engineers is effectively reduced and the tracing of the root cause of such spatial pattern is facilitated.