Abstract: A function executing device is configured to send a wireless identifier to a communication device via a first type of wireless communication interface for setting up a wireless connection. The function executing device is configured to determine whether the function executing device is in an error state and, if not, to establish the wireless connection via a second type of wireless communication interface. The function executing device operates in a parent state in the wireless connection. Additionally, print data may be received from the communication device. However, if the function executing device is in an error state the wireless connection is not established via the second type of wireless communication interface.

Abstract: An image forming apparatus that includes an image capturing unit capturing an image in front of the apparatus; a display displaying a screen; and a controller including one or more processors, the controller configured to function as: an acquisition unit acquiring a face image of a user from the image captured by the image capturing unit; an authentication unit authenticating, using the face image of the user acquired by the acquisition unit, the user who is within a first distance from the apparatus; a tracking unit tracking the user authenticated by the authentication unit; and a control unit causing the display to display a screen that is based on information corresponding to the user tracked by the tracking unit when the user has reached a position at a second distance from the apparatus, the second distance being shorter than the first distance.

Abstract: A method to combine dental anatomy data includes, by the use of a computing device: receiving volumetric dental data and superficial dental data; segmenting the crowns of the volumetric dental data from the roots of the volumetric dental data; segmenting the crowns of the superficial dental data from the gingiva of the superficial dental data; transforming superficial dental data of the crowns to substantially align with volumetric dental data of the crowns; stitching the transformed superficial dental data of the crowns to volumetric dental data of the crowns; and outputting for display an image data based on the combined dental data.

Abstract: An apparatus and method for device security, wherein a fingerprint image is acquired on a touchscreen, and an authentication process is performed based on the first fingerprint image. Thereafter, a second fingerprint image is acquired and a difference between a characteristic of the first and second fingerprint images is determined, and based upon whether this difference is greater than a threshold, a second authentication process is performed.

Abstract: Systems and methods for determining a dominant color in a digital image are provided and include dividing a digital image into a first and second set of pixels and selecting pixels from the first and second sets based on first and second sample rates, respectively, the first set of pixels being closer to the center of the image than the second set and the first sample rate being greater than the second sample rate. A chroma and/or lightness filter is applied to the selected pixels. The remaining pixels after filtering are grouped based on hue, chroma, and lightness. A dominant color for the digital image is determined based on a color associated with the that has the greatest number of pixels.

Abstract: A device receives a two-dimensional (2-D) image that depicts a cross-sectional view of a retina that includes a macula comprised of layers and boundaries used to segment the layers. The device converts the 2-D image to a standardized format, determines features for voxels included in the 2-D image, and generates, by using a data model to process the features, probability maps that indicate likelihoods of the voxels being in positions within particular boundaries. The device analyzes the probability maps to determine an initial set of boundary positions and to generate directional vectors that point in directions based on values included in the set of probability maps, determines a final set of boundary positions by performing a layer boundary evolution technique using the directional vectors to refine the initial set of boundary positions, and provides data that identifies the final set of boundary positions for display via an interface.

Abstract: There is provided a method of training a machine learning model, comprising: for each set of sample medical images depicting calcification within a target anatomical structure wherein each set includes non-contrast medical image(s) and contrast enhanced medical image(s), correlating between calcifications depicted in the target anatomical structure of the contrast enhanced image(s) with corresponding calcifications depicted in the target anatomical structure of the non-contrast medical image(s), computing calcification parameter(s) for calcification depicted in the respective target anatomical structure, labelling each contrast enhanced medical image with the calcification parameter(s), and training the machine learning model on a training dataset that includes the contrast enhanced medical images of the sets, each labelled with ground truth label of a respective calcification parameter(s), for generating an outcome indicative of a target calcification parameter(s) for calcification depicted in the target ana

Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

Abstract: A method includes obtaining a point cloud captured by a depth sensor, and image data captured by an image sensor, the point cloud and the image data representing a support structure bearing a set of objects; obtaining an image boundary corresponding to an object from the set of objects; determining a portion of the point cloud corresponding to the image boundary; selecting, from the determined portion, a subset of points corresponding to a forward surface of the object; and generating a three-dimensional position of the object based on the forward surface.

Abstract: An emotional or mental belief system reprogramming system is disclosed. The system includes a digital framework including a pattern recognition module configured to identify and recommend reprogramming and alter a health status of a user, the digital framework includes (1) a digitally recorded library of human emotions, unconscious agendas, perceptions, beliefs, and mindsets of a control group of users selected from a population of users (2) a question engine configured to interrogate the user using a library of predetermined questions and to identify a plurality of underlying unconscious agendas of the user that generate behavior of the user and associated negative emotions of the user, (3) an expressive, experiential digital agent having digitized color, gestures, expressions, movements, emotions, beliefs, intent, intuition, and haptic effects, the digital agent configured to interact with the user in real time, to ask questions, to engage the user.

Abstract: A speckle detection method includes: obtaining a to-be-detected image; converting the to-be-detected image into Lab color space to obtain a Lab image; extracting a speckle feature from the Lab image to obtain a speckle feature image, where the speckle feature image includes a skin speckle feature and a subcutaneous speckle feature; and determining a skin speckle and a subcutaneous speckle in the speckle feature image.

Abstract: In dynamic vision sensor (DVS) or change detection sensors, the chip or sensor is configured to control or modulate the event rate. For example, this control can be used to keep the event rate close to a desired rate or within desired bounds. Adapting the configuration of the sensor to the scene by changing the ON-event and/or the OFF-event thresholds, allows having necessary amount of data, but not much more than necessary, such that the overall system gets as much information about its state as possible.

Abstract: A method for determining hardness of a material by implementing 3D imaging is proposed. The imaging provides database of points on the 3D imprint in an orthogonal X-Y-Z coordinate system. An imaginary image of the imprint is formed by finding a plurality of intersection points obtained by intersecting the imprint image in X-Y plane with the X-Z plane movable in the Y-axis direction for obtaining a plurality of points of intersection that lay in the X-Y plane. Statistical processing of the plurality of the points of intersection makes it possible to form imaginary image of the imprint in the X-Y plane and to use the reference dimension of the obtained imaginary image as a parameter for insertion into the hardness calculation formula.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using feature descriptors to track objects depicted in images. One of the methods includes receiving hue, saturation, value data for an image and data that indicates an object detected in the image, generating a feature descriptor that includes hue data and saturation data, determining, for each of two or more tracked objects that each have a historical feature descriptor that includes historical hue data and historical saturation data, a distance between (i) the respective historical feature descriptor and (ii) the feature descriptor, associating the feature descriptor for the object with a tracked object from the two or more tracked objects, and tracking the tracked object in one or more images from a video sequence using the feature descriptor and the historical feature descriptor.

Abstract: An approach for a computer program to receive image data of a subject including at least a portion of a spine of the subject and a chronological age of the subject. The approach includes the computer program pre-processing the image data including at least a portion of a spine. The approach includes determining an apparent age of the spine or a portion of the spine of the subject using a trained artificial intelligence deep learning algorithm.

Abstract: This document generally describes systems, methods, devices, and other techniques related to speaker verification, including (i) training a neural network for a speaker verification model, (ii) enrolling users at a client device, and (iii) verifying identities of users based on characteristics of the users' voices. Some implementations include a computer-implemented method. The method can include receiving, at a computing device, data that characterizes an utterance of a user of the computing device. A speaker representation can be generated, at the computing device, for the utterance using a neural network on the computing device. The neural network can be trained based on a plurality of training samples that each: (i) include data that characterizes a first utterance and data that characterizes one or more second utterances, and (ii) are labeled as a matching speakers sample or a non-matching speakers sample.

Abstract: Systems for and methods of monitoring and analyzing deposit in an industrial water system are provided. The methods comprise heating a substrate while the substrate contacts industrial water in the industrial water system to form deposit on the substrate. A series of digital images of the substrate while the substrate contacts the industrial water in the industrial water system is created. A region of interest in the series of digital images of the substrate is defined. A deposit feature in the region of interest in the series of digital images of the substrate is identified. The deposit feature in the region of interest in the series of digital images of the substrate is analyzed to determine a deposit trend of the substrate in the industrial water system. Generally, the systems are configured so as to be capable of carrying out one or more of the methods.

Abstract: A neural network system leverages dual attention, specifically both spatial attention and channel attention, to jointly estimate heart rate and respiratory rate of a subject by processing images of the subject. A motion neural network receives images of the subject and estimates heart and breath rates of the subject using both spatial and channel domain attention masks to focus processing on particular feature data. An appearance neural network computes a spatial attention mask from the images of the subject and may indicate that features associated with the subject's face (as opposed to the subject's hair or shoulders) to accurately estimate the heart and/or breath rate. Channel-wise domain attention is learned during training and recalibrates channel-wise feature responses to select the most informative features for processing. The channel attention mask is learned during training and can be used for different subjects during deployment.

Abstract: This application describes a medical image classification method, a model training method, and a server. The medical image classification method includes: obtaining, by a device, a medical image data set. The device includes a memory storing instructions and a processor in communication with the memory. The method includes performing, by the device, quality analysis on the medical image data set, to extract feature information of a medical image in the medical image data set; and classifying, by the device, the medical image data set based on the feature information and by using a pre-trained deep learning network for performing anomaly detection and classification, to obtain a classification result.

Abstract: A method of analyzing a substrate contacting a fluid present in an industrial system is provided. The method comprises creating a series of digital images of the substrate while contacting the fluid present in the industrial system. A region of interest in the series of digital images of the substrate is defined. A corrosion feature in the region of interest in the series of digital images of the substrate is identified. The corrosion feature in the region of interest in the series of digital images of the substrate is analyzed to determine a corrosion trend of the industrial system. In certain embodiments of the method, the fluid is industrial water, and the industrial system is an industrial water system.