Abstract: For soft tissue deformation prediction, a biomechanical or other tissue-related physics model is used to find an instantaneous state of the soft tissue. A machine-learned artificial neural network is applied to predict the position of volumetric elements (e.g., mesh node) from the instantaneous state. Since the machine-learned artificial neural network may predict quickly (e.g., in a second or less), the soft tissue position at different times or a further time given the instantaneous state is provided in real-time without the minutes of physics model computation. For example, a real-time, biomechanical solver is provided, allowing interaction with the soft tissue model, while still getting accurate results. The accuracy allows for generating images of a soft tissue with greater accuracy and/or the benefit of user interaction in real-time.

Abstract: An activity recognition device comprises a port configured to receive a video stream from a video source for a first object and a second object; a memory configured to store instructions and image frames of the video stream; and one or more processors, wherein the one or more processors execute the instructions stored in the memory, the one or more processors configured to: select portions of the image frames based on presence of the first object; determine areas within the portions of image frames, wherein locations of the first object in the video frames are bounded by the determined areas; determine motion of the first object and locations of a second object within the areas of the image frames; and identify an activity according to the determined motion and locations of the second object, and generate an alert according to the identified activity.

Abstract: The present invention is to provide a terminal for performing a secretarial function for assisting a person's memory at home or in a company, and a system comprising the same. The terminal comprises: a camera module configured to capture an image of a predetermined space when a person's motion in the predetermined space is detected; and a memory for storing the image captured by the camera module, wherein when a user request is received, the position of an object corresponding to the user request is detected using the image stored in the memory, and guide information can be outputted in at least one manner of a visual manner, an auditory manner and a tactile manner so that the detected position is guided.

Abstract: Methods and systems for implementing health monitoring based on changes in body dimensions derived from images of a human collected over long periods of time are presented herein. An image based medical diagnosis system precisely measures body dimensions, changes in body dimensions over time, or both, and identifies whether any measured dimensions, changes in dimensions, or both, have exceeded one or more threshold values indicative of the onset or recurrence of a medically significant condition. In another further aspect, an alert is communicated to medical professionals to further investigate the medical condition of the human user. In one aspect, body dimensions are estimated based on a known value of a reference dimension identifiable in each of the plurality of images. In some examples, the distance between facial features in an image is normalized with respect to the measured inter-pupillary distance associated with that image.

Abstract: A system for determining a spherical power of the eyes of the subject based on the measured refractive error associated with the red reflex image is provided. The system (i) predicts a position of a plurality of facial landmarks on the facial image of the subject, (ii) extracts the eyes from the facial image based on the facial landmarks, (iii) determines a position of the eyelid, (iv) determines a red reflex in the iris of the eye, (v) locates the red reflex with a reddish hue and a crescent in the iris for measuring the refractive error, (vi) generates a mask of the crescent by thresholding the red reflex image, (vii) determines a width of anti-crescent in the red reflex image, and (viii) determines a spherical power using the width of the anti-crescent, eccentricity and working distance of the image capturing device and a diameter of the pupil.

Abstract: A computer system can receive, from a mobile device of a user, a set of data that specifies a location of a second user as a destination location, wherein the second user is associated with a contact record. Subsequent to receiving the set of data, the computer system can receive, from a mobile device of the second user, location information indicating a current location of the second user, and configure the destination location of a service request of the user to correspond to the current location of the second user. The computer system may then transmit, to a mobile device of a service provider assigned to fulfill the service request, a second set of data associated with the service request, the second set of data including location data corresponding to a pick-up location of the user and location data corresponding to the configured destination location.

Abstract: Systems for presenting an image indicating a position for a person are disclosed. A system includes: a hardware processor, a computer readable memory, and a computer readable storage medium associated with a computer device; at least one camera; program instructions of a free space determiner configured to determine at least one free space in a location using the at least one camera; program instructions of a new position determiner configured to determine, for a first person in the location, a new position based upon the at least one free space in the location determined by the free space determiner; and program instructions of an image presenter configured to present an image in the location to indicate the new position for the first person in the location determined by the new position determiner.

Abstract: A method for determining a sequence of activation of a set of brain networks by an electronic device in the course of a predetermined cognitive task. The method includes: obtaining at least one time series of data on encephalographic activities, according to a predetermined sampling value, the data on activities representing a signal captured on the cranial surface by a capture device, during the execution of the predetermined cognitive task by at least one individual, delivering a set having at least one measurements vector per sample of the time series; for each measurements vector, determining connectivity between cortical sources, the cortical sources being obtained through measurements of a measurements vector, delivering a connectivity network; and grouping connectivity networks according to a resemblance parameter delivering a set of groups of grouped connectivity networks, each representing an activity of a given brain network at a given instant.

Abstract: An attachment tool includes an image capturing unit configured to capture an image of a random pattern provided on a comparison region of a part; and an identification result-outputting unit configured to output a part identification result obtained by comparing an image characteristic of the captured image of the random pattern with a previously stored image characteristic of a random pattern of a part.

Abstract: Mechanisms are provided to implement a machine learning training model. The machine learning training model trains an image generator of a generative adversarial network (GAN) to generate medical images approximating actual medical images. The machine learning training model augments a set of training medical images to include one or more generated medical images generated by the image generator of the GAN. The machine learning training model trains a machine learning model based on the augmented set of training medical images to identify anomalies in medical images. The trained machine learning model is applied to new medical image inputs to classify the medical images as having an anomaly or not.

Abstract: Systems and methods for customer touchpoint pattern and sentiment analysis are disclosed. In embodiments, a computer-implemented method comprises: detecting, by a computer device, the presence of a mobile device of a participant within a venue during a first event; monitoring, by the computing device, the location of the mobile device of the participant within the venue during the first event; detecting, by the computing device, at least one interaction event between the participant and a venue associate; recording, by the computing device, first event data including interaction event data; detecting, by the computing device, the presence of the mobile device of the participant within the venue during a second event; determining, by the computing device, one or more customer service parameters based on the first event data; and generating, by the computing device, an alert based on the one or more customer service parameters.

Abstract: A system and method are provided for capturing an image with correct skin tone exposure. In use, one or more faces are detected having threshold skin tone within a scene. Next, based on the detected one or more faces, the scene is segmented into one or more face regions and one or more non-face regions. A model of the one or more faces is constructed based on a depth map and a texture map, the depth map including spatial data of the one or more faces, and the texture map includes surface characteristics of the one or more faces. The one or more images of the scene are captured based on the model. Further, in response to the capture, the one or more face regions are processed to generate a final image.

Abstract: One embodiment include an image acquisition circuit that accesses a pre-treatment and a post-treatment image of a region of tissue demonstrating non-small cell lung cancer (NSCLC), a segmentation and registration circuit that annotates the tumor represented in the images, and that registers the pre-treatment image with the post-treatment image; a feature extraction circuit that selects a set of pre-treatment and a set of post-treatment radiomic features from the registered image; a delta radiomics circuit that generates a set of delta radiomic features by computing a difference between the set of post-treatment radiomic features and the set of pre-treatment radiomic features; and a classification circuit that generates a probability that the region of tissue will respond to immunotherapy based on the difference, and that classifies the region of tissue as a responder or non-responder. Embodiments may generate an immunotherapy treatment plan based, at least in part, on the classification.

Abstract: Providing ported and disconnected wireless number distinction, comprising: receiving, by at least one processor, an aggregator data file containing at least one of at least one wireless number that has been ported and at least one wireless number that has been disconnected, accessing, by the at least one processor, a number portability database, receiving, by the at least one processor, at least one of text and voice call opted-in data file, determining, by the at least one processor, a conjunction of the aggregator data file and number portability database, the conjunction defining a ported data file, determining, by the at least one processor, a commonality of the at least one of a text and a voice call opted-in data file and the ported data file, the commonality defining a ported opted-in data file, recording, in at least one memory, a status of the commonality of the ported opted-in data file as opted-in wireless numbers, wherein the at least one processor and at least one memory are communicably coupled

Abstract: A framework for coarse orientation detection in image data. In accordance with one aspect, the framework trains a learning structure to recognize a coarse orientation of the anatomical structure of interest based on training images. The framework may then pass one or more current images through the trained learning structure to generate a coarse orientation of the anatomical structure of interest. The framework then outputs the generated coarse orientation of the anatomical structure of interest.

Abstract: A method of comparing objects in images. A dictionary determined from a plurality of feature vectors formed from a test image and codes formed by applying the dictionary to the feature vectors, is received. The dictionary is based on a modified manifold obtained by determining correspondences for codes using pairwise similarities between codes. Comparison codes are determined for the objects in the images by applying the dictionary to feature vectors of the objects in the images. The objects in the images are compared based on the comparison codes of the objects.

Abstract: According to an embodiment, an information processing device includes an acquirer, a categorizer, a shape fitter, and a specifier. The acquirer is configured to acquire position information of each of a plurality of detection points. The categorizer is configured to cluster the detection points into one or more detection point groups each representing an object. The shape fitter is configured to apply a predetermined shape model to each detection point group on the basis of the position information of each of the clustered detection points included in the each detection point group. The specifier is configured to specify a target point of the object on the basis of the shape model.

Abstract: A computer implemented method for determining a center of rotation of a bone, comprising the steps of: a) acquiring image data representing a plurality of images taken by a camera while the bone is being rotated about the center of rotation, wherein the images show a marker device attached to the bone; b) forming a plurality of image pairs from the image data, wherein each image pair comprises two different images; c) determining a first relative position of the marker device relative to the camera from a first image of an image pair; d) determining a second relative position of the marker device relative to the camera from a second image of the same image pair; e) calculating a transformation of the first relative position into the second relative position; f) repeating steps c) to e) for all image pairs to obtain a plurality of transformations; and calculating the location of the center of rotation of the bone relative to the marker device from the plurality of transformations.

Abstract: A system and method are provided for capturing an image with correct skin tone exposure. In use, one or more faces are detected having threshold skin tone within a scene. Next, based on the detected one or more faces, the scene is segmented into one or more face regions and one or more non-face regions. Next, one or more images of the scene are captured. Further, in response to the capture, the one or more face regions are processed to generate a final image.

Abstract: Illumination device maintains distance between eyes of user and object, and lights up desktop with appropriate illuminance. Illumination device includes light source for lighting up desktop, arm mechanism incorporates motor for moving position of light source, face camera detects position of eyes of user, desk cameras detects illuminance distribution on desk, image processing part calculates posture of user and distance between eyes of user and desk, based on face images obtained with face camera and desk images obtained with desk cameras, computation part calculates optimal light source position of light source wherein dispersion of illuminance distribution on desk is minimized, based on posture of user derived with image processing part and illuminance distribution obtained with desk camera, warning part that generates warning, in cases where distance is less than or equal to predetermined value, and control part operates arm mechanism such that light source moves to optimal light source position.