Abstract: A computing device stores a captured image as a transient image template when there is a failure in an image-based authentication of the captured image and the user of the computing device has provided user credentials that authorize the user to access the computing device. The transient image template may be used to further authorize the user to access the computing device during an established time period.

Abstract: According to various, but not necessarily all, embodiments there is provided an apparatus comprising means for: determining at least two locations at which a user touches a device; selecting a first location and a second location from the at least two locations to define a transmission path for an acoustic signal through the user; applying an acoustic signal to the user through the first location; detecting an acoustic signal transmitted through the user at the second location; and analysing the detected acoustic signal to determine if it is indicative of transmission of the applied acoustic signal through an authorised user based on a known bioacoustic signature of the authorised user.

Abstract: A medical image processing apparatus reducing noise of a medical image acquired includes a smoothing unit forming a smoothed image of the medical image, a route forming unit forming a route that is a pixel group positioned continuously in the smoothed image and fulfills a route condition, and a noise reducing unit extracting a pixel group corresponding to the route in the medical image and reducing noise of the medical image based on the extracted pixel group.

Abstract: A biometric identification system uses inputs acquired using different modalities. A model having an intersection branch and an XOR branch is trained to determine an embedding using features present in all modalities (an intersection of modalities), and features that are distinctive to each modality (an XOR of that modality relative to the other modality(s)). During training, a first loss function is used to determine a first loss value with respect to the branches. Probability distributions are determined for the output from the branches, corresponding to the intersection and XORs of each modality. A second loss function uses these probability distributions to determine a second loss value. A total loss function for training the model may be a sum of the first loss and the second loss. Once trained, the model may process query inputs to determine embedding data for comparison with embedding data of a previously enrolled user.

Abstract: A communication support device comprises an imaging unit, a counterpart detector, a distance measuring unit, a expression determination unit, a motion determination unit, and a voice output unit. The imaging unit captures an image of a surrounding environment of a user. The counterpart detector detects a predetermined counterpart in the captured image. The distance measuring unit measures a distance between the counterpart and the imaging unit based on the captured image. The expression determination unit determines a facial expression of the counterpart based on the captured image. The motion determination unit determines a motion of the counterpart based on the captured image. The voice output unit notifies the user of identification information for identifying the counterpart by a voice when the distance measured by the distance measuring unit is an interaction distance of a first threshold or less.

Abstract: Some disclosed methods involve randomly or pseudo-randomly selecting one fingerprint authentication case from a plurality of fingerprint authentication cases stored in a memory, each of the fingerprint authentication cases corresponding to one or more fingerprints used during an authentication process, the fingerprint authentication cases including a plurality of multiple-fingerprint authentication cases for which two or more fingerprints are used during the authentication process.

Abstract: A monitoring system includes a memory, and a processor coupled to the memory and configured to detect a face area of a subject from a captured image divided into a plurality of blocks according to a number of light emitting elements that irradiate an image capturing range, and control a light emission intensity of a light emitting element corresponding to a block including the face area among the plurality of blocks according to one of a position of the face area and a size of the face area.

Abstract: To provide a probability acquisition apparatus and the like that can provide accurate probabilities of a match and a mismatch between two three-dimensional images of a target object, a probability acquisition apparatus performs zebra shading processing on a first image that is a three-dimensional image of an automotive clay model and a second image that is a 3D-CAD image to obtain a first zebra image and a second zebra image, obtains a first selected image from the first zebra image with noise removed and a second selected image from the second zebra image with features extracted, and inputs a superimposition image of the first selected image and the second selected image to a CNN 15b to thereby obtain a probability of a match between the first selected image and the second selected image.

Abstract: A dynamic biometric identity verification system for verifying an identity of a person. The system includes an identity verification device and a biometric data memory storing an identification pair including an identifier and biometric data of the person. The identification verification device using the biometric data to verify the identity of the person, effectuating a proof-of liveness test and requirement, by dynamically generating and/or selecting challenge questions and comparing answers to those questions with the stored biometric data.

Abstract: A method, apparatus, device, and storage medium for transforming a hairstyle are provided. The method may include: determining a face bounding box according to information on face key points of acquired face image; constructing grids according to the face bounding box; deforming, by using an acquired target hairstyle function, edge lines of at least a part of the constructed grids, which comprises the hairstyle, to obtain a deformed grid curve; determining a deformed hairstyle in the face image according to the deformed grid curve.

Abstract: A method of examining digestive tract images is provided. The method of examining digestive tract images include: obtaining a basic image taken by a photographing apparatus; obtaining a set H of pixels with Hue in the range of D1 in the basic image; obtaining a set S of pixels with Saturation in the range of D2 in the basic image; obtaining a set of pixels with Value in the range of D3 in the basic image, and recording it as an effective pixel range; selecting all pixel sets of the set H and the set S in the effective pixel range to form a detection graph block; examining whether the basic image is an unclean image according to the detection graph block. The present invention further provides a method of examining the cleanliness of the digestive tract, a computer device, a computer-readable storage medium thereof.

Abstract: A method of manufacturing an electronic module includes providing a base substrate having a first surface, providing a first supporting element having a first portion with an inclined top surface, and affixing the first supporting element to the first surface such that the inclined top surface is inclined with respect to the base substrate. A first reflector is coupled to the inclined top surface such that a rear surface of the first reflector is in physical contact with the inclined top surface of the first portion of the first supporting element, and a spacer structure is configured to form an interface for mounting lateral walls to the base substrate. A cap is positioned over and supported by the lateral walls to thereby define a chamber. The emitter, as well as a detector, are coupled to the first surface of the base substrate.

Abstract: An electronic device for identifying and tracking at least one target, including: a receiver module configured to receive images from a network of image sensors; a determination module configured to determine visual signatures of a respective target from the received images, each visual signature being determined from a respective image including a representation of the target, each visual signature being in the form of a vector in multi-dimensional space; a first filtering module configured to filter the visual signatures; a computation module configured to compute a reference visual signature, in multi-dimensional space; a detection module configured to detect an appearance of the target, and a second filtering module.

Abstract: An information processing apparatus, including: a feature point detecting unit configured to detect a feature point from an image including biological information obtained via a sensor unit; and a feature value extracting unit configured to extract a feature value that characterizes the feature point based on a peripheral image including the feature point.

Abstract: A public opinion acquisition method and device, a word viscosity model training method and device, a server, and a medium are provided in the present disclosure. And the present disclosure relates to the technical field of artificial intelligence, specifically to image recognition and natural language processing, which can be used in a cloud platform. A video public opinion acquisition method includes: receiving a public opinion acquisition request, the public opinion acquisition request including a public opinion keyword to be acquired; matching the public opinion keyword to be acquired with video data including a recognition result, wherein the recognition result is obtained by performing predefined content recognition on the video data, the predefined content recognition including text recognition and image recognition; and determining video data that matches with the public opinion keyword to be acquired as result video data.

Abstract: A projection is determined in a semiconductor image, which can be an X projection and/or a Y projection. At least one threshold is applied to the projection thereby forming at least one segment within the region. A fine segment can be determined in the region using a distance value from the projection. Defect detection can be performed in one of the fine segments.

Abstract: A method of securing biometric information may involve obtaining a digital image that contains biometric information. The method may involve identifying at least one region of the digital image that contains the biometric information and masking the biometric information. The biometric information may be a user's fingerprint and the user's fingerprint may be sufficiently masked that the masked fingerprint would not be accepted as authentic by most or all biometric authentication systems as matching the original fingerprint.

Abstract: A method of predicting patient deterioration includes receiving an electronic health record data set of the patient, determining a risk score corresponding to the patient by analyzing the electronic health record data set of the patient using a trained machine learning model, determining a threshold value using an online/reinforcement learning model, comparing the risk score to the threshold value, and when the risk score exceeds the threshold value, generating an alarm. A non-transitory computer readable medium includes program instructions that when executed, cause the computer to receive a list of patients, display selectable patient information corresponding to each of the list of patients according to an ordering established by a feature importance algorithm, receive a selection, retrieve vital sign information corresponding to the selection, and display the vital sign information.

Abstract: A method and apparatus for waking up a device, an electronic device, and a storage medium are provided, which are related to fields of image processing and deep learning. The method includes: acquiring an environment image of a surrounding environment of a target device in real time, and recognizing a face region of a user in the environment image; acquiring a plurality of facial landmarks in the face region, and acquiring a left eye image and a right eye image according to the facial landmarks; acquiring a left eye sight classification result and a right eye sight classification result according to the left eye image and the right eye image; and waking up the target device in a case of determining that the user is looking at the target device according to the left eye sight classification result and the right eye sight classification result.

Abstract: An information processing system includes a vehicle, and a server communicable with the vehicle. The vehicle includes a first acquisition unit configured to acquire first vital information on a user who boards the vehicle. The vehicle is configured to transmit to the server the first vital information on the user acquired with the first acquisition unit. The server is configured to prestore first vital information and settlement information on a registered user, determine whether or not the user is the registered user based on the first vital information on the user received from the vehicle and the first vital information on the registered user, and execute, when determining that the user is the registered user, a settlement process based on the settlement information on the registered user.