Abstract: A three-dimensional bounding box is determined from a two-dimensional image and a point cloud. A feature vector associated with the image and a feature vector associated with the point cloud may be passed through a neural network to determine parameters of the three-dimensional bounding box. Feature vectors associated with each of the points in the point cloud may also be determined and considered to produce estimates of the three-dimensional bounding box on a per-point basis.

Abstract: A symmetric model representing anatomical structures of the brain is adapted to a brain scan image with a transform. First and second points provided on first and second hemispheres of the brain image and a patient-specific symmetric anatomical model of the brain is computed based on the transformation.

Abstract: A photo spam detector detects illegitimate non-natively captured images through extracting image features and feeding the extracted features into a probabilistic model. The probabilistic model categorizes the photo as legitimate or illegitimate. Requests to tag one or more users in a photo are analyzed by a tag analyzer that assesses relationships between the tag requests themselves, social relationships between the tagged users, and the presence or absence of faces within the regions specified by the tag requests. Based on the classification of images or tags as illegitimate, a social networking system applies one or more social media distribution policies to the image or tags to suppress or prohibit distribution.

Abstract: An example apparatus for estimating poses includes a person estimator to estimate a number of people based on a significant head count of received refined part detections. The apparatus includes a detection clusterer to cluster the refined part detections based on the estimated number of people to generate clustered part detections. The apparatus includes a candidate selector to select candidate person clusters for each clustered part detection based on proximity to the clustered part detection. The apparatus includes a sequential assigner to calculate a cluster affinity score for each combination of candidate person cluster and clustered part detection, and greedily sequentially assign each clustered part detection to a candidate person cluster based on the cluster affinity score to generate person clusters. The apparatus includes a pose generator to generate a pose for each person cluster.

Abstract: An object information obtaining device includes a light source which emits light, an acoustic wave detecting unit which detects a photoacoustic wave generated by irradiation of an object with the light, and outputs an electric signal in response to detection of the photoacoustic wave, and a processing unit configured to perform two or more types of processing to photoacoustic signal data based on the electric signal to obtain object information corresponding to each of the two or more types of processing, and to display on a display unit the object information corresponding to at least one processing selected by a user out of the two or more types of processing.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automated profile image generation based on scheduled video conferences. A profile image generation system generates, based on image data captured during a first video conference, a first facial feature data set for a first identified face identified from the image data. The first facial feature data set includes numeric values representing the first identified face. The profile image generation system calculates, based on the first facial feature data set and historic facial feature data sets generated from image data captured during previous video conferences, a first value indicating a likelihood that the first identified face is a first meeting participant that participated in the first video conference. The profile image generation system determines that the first value meets or exceeds a threshold value, and in response, determines that the first identified face is the first meeting participant.

Abstract: The present disclosure relates to a method, system and non-transitory computer readable medium. In some embodiments, the method includes: acquiring a plurality of image slices related to a vertebral column, the vertebral column including a plurality of vertebrae; obtaining a classifier for verterbrae identification; identifying, by a processor, one or more vertebral foramina in the plurality of image slices using the classifier; and determining, by the processor, the plurality of vertebrae based on the one or more vertebral foramina.

Abstract: Systems and methods for generating a medical image of a subject that includes functional information. First, two medical images are acquired. One is weighted based on functional information reflecting physiological functions of the subject and the other weighted based on anatomic information of the subject. A difference image between the two images are generated. By subjecting the difference image and the second image to a localized kernel, a local similarity image is generated. Using the local similarity image, an improved difference image is generated. Lastly, by subtracting the improved difference image from the first image, an enhanced medical image that retains the functional information reflecting physiological functions of the subject is generated.

Abstract: A system and method for aerial video traffic analysis are disclosed. A particular embodiment is configured to: receive a captured video image sequence from an unmanned aerial vehicle (UAV); clip the video image sequence by removing unnecessary images; stabilize the video image sequence by choosing a reference image and adjusting other images to the reference image; extract a background image of the video image sequence for vehicle segmentation; perform vehicle segmentation to identify vehicles in the video image sequence on a pixel by pixel basis; determine a centroid, heading, and rectangular shape of each identified vehicle; perform vehicle tracking to detect a same identified vehicle in multiple image frames of the video image sequence; and produce output and visualization of the video image sequence including a combination of the background image and the images of each identified vehicle.

Abstract: Methods, apparatus, and other embodiments associated with classifying a region of tissue using textural analysis are described. One example apparatus includes an image acquisition logic that acquires an image of a region of tissue demonstrating cancerous pathology, a delineation logic that distinguishes nodule tissue within the image from the background of the image, a perinodular zone logic that defines a perinodular zone based on the nodule, a feature extraction logic that extracts a set of features from the image, a probability logic that computes a probability that the nodule is benign or that the nodule will respond to a treatment, and a classification logic that classifies the nodule tissue based, at least in part, on the set of features or the probability. A prognosis or treatment plan may be provided based on the classification of the image.

Abstract: The present disclosure provides a method for determining an effect of a drug on pain experienced by a patient. The method comprises providing reference information concerning at least one visible and/or audible feature that is indicative of a level of the pain. The method further comprises capturing information indicative of the at least one visible and/or audible feature, respectively, from the patient comprising observing the patient directly or indirectly after administering the drug to the patient. In addition, the method comprises determining pain indicating information associated with a level of pain experienced by the patient using the captured information. The method also comprises comparing the pain indicating information with the provided reference information to determine the effect of the drug on the pain experienced by the patient.

Abstract: According to an embodiment, an information processing device includes a memory and processing circuitry. The processing circuitry is configured to receive an image and area information indicating a first area. The processing circuitry is configured to detect an object from the image. The processing circuitry is configured to, based on positional relationship between the first area and the object, estimate probability of occurrence of an event in the first area.

Abstract: The present disclosure discloses a method, apparatus and server for constructing a map. An embodiment of the method comprises: building a point cloud data frame sequence using point cloud data frames acquired in real time; extracting morphological data from the point cloud data frames; establishing a spatial position relation between the morphological data of two adjacent point cloud data frames in the point cloud data frame sequence; determining a reference spatial position relation corresponding to a stationary object based on the spatial position relation, and constructing a map with the reference spatial position relation. The present embodiment realizes constructing a map with the point cloud data.

Abstract: A security system and method for restricting access to recreation venues by a person who caused an incident at a recreation venue (22). The system includes a mobile communications device (12) having a camera and a GPS chip, and a computer processor (14) configured to receive an incident record (24) from the mobile communications device and broadcast over a communications network (16) the incident record to a plurality of recreation venues within a predetermined area. The incident record includes an image of the person and a record of the incident type.

Abstract: A data verification device includes a processor configured to: specify, out of a plurality of sites registered as acquisition sources of specific information, reliability of the site from which the information was acquired as the specific information based on storage content of a storage that stores therein the reliability in association with each of the sites; and output the information acquired as the specific information together with the specified reliability.

Abstract: A framework for pedicle screw positioning is described herein. In accordance with one aspect, the framework segments at least one vertebra of interest in image data. The framework then automatically determines a pedicle region within the segmented vertebra of interest, and a safe region within the segmented vertebra of interest. An optimal insertion path passing through the pedicle region may then be generated within the safe region.

Abstract: An information presentation method and apparatus. The method comprises: monitoring a designated operation for a DOI; and when it is detected that the designated operation is executed for the DOI, presenting profile information corresponding to the DOI. In the method, when a DOI is presented in an interface, a user only needs to perform a designated operation for the DOI, and profile information corresponding to the DOI is displayed on the interface; and the profile information corresponding to the DOI is generated based on all information contained in the DOI itself, and can accurately reflect the information in the DOI, so that the user can intuitively learn the information contained in the DOI without using other devices to scan and decode the DOI, thereby effectively improving the identification degree of the DOI and simplifying the operation process.

Abstract: Methods and apparatus for identifying one or more locations of a video clip within video content. In embodiments, a method comprises producing segments of the video clip, comparing the segments of the video clip to segments of the video content, and producing a first measure of similarity of the video clip to the video content at relatively displaced temporal positions. A method can further include filtering and comparing to identify, from a second measure of similarity, the one or more locations of the video clip within the video content.

Abstract: A fingerprint identification electrode includes a first conductive layer, a second conductive layer, and an insulating layer between the first conductive layer and the second conductive layer. The first conductive layer includes a plurality of first touch electrode strips. The second conductive layer includes a plurality of second touch electrode strips and a plurality of dummy electrodes. The first touch electrode strips and the second touch electrode strips intersect. The second touch electrode strips are separated from the dummy electrodes. A part of each of the first touch electrode strips that is located between any two adjacent second electrode strips overlaps at least one of the dummy electrodes.

Abstract: There is provided a computerized system and method of generating a unique identification associated with a gemstone, usable for unique identification of the gemstone. The method comprises: obtaining one or more images of the gemstone, the one or more images captured at one or more viewing angles relative to the gemstone and to a light pattern, thus giving rise to a representative group of images; processing the representative group of images to generate a set of rotation-invariant values informative of rotational cross-correlation relationship characterizing the images in the representative group; and using the generated set of rotation-invariant values to generate a unique identification associated with the gemstone. The unique identification associated with the gemstone can be further compared with an independently generated unique identification associated with the gemstone in question, or with a class-indicative unique identification.