Abstract: According to one embodiment, an article recognition apparatus includes a first interface, a second interface, and a processor. The first interface acquires an image captured by photographing a photography range including an area where articles that are recognition targets are arranged. The second interface acquires depth information from a predetermined position relative to an area corresponding to the photography range. The processor extracts image areas of all products existing in the image by using the depth information, and determines whether an unidentified area due to overlapping of a plurality of the products exists in the image, based on the image areas of the products extracted from the image.

Abstract: There is provided systems and methods for laser scanning of one or more surfaces; in a particular embodiment, laser scanning of concrete. The system includes: at least one laser scanning module for acquiring imaging data comprising one or more distance measurements between the laser scanning module and each of the surfaces, according to a laser scanning modality; and a computing module, including one or more processors, in communication with the laser scanning module, for: aggregating the imaging data; processing and denoising the imaging data; and determining the presence or absence of a condition on each of the surfaces based on the imaging data.

Abstract: Systems and methods for enabling a vehicle to park remotely. The system includes a memory that stores instructions for executing processes for enabling a vehicle to park remotely, and a processor that executes the instructions. In some aspects, the instructions cause the processor to: analyze an image of the vehicle to identify a vehicle type; extract vehicle information related to the vehicle type; calculate a distance between a mobile device and the vehicle based on the vehicle information and a location of the mobile device; determine whether the mobile device is within a predetermined distance of the vehicle; and enable the vehicle to park remotely when the mobile device is within the predetermined distance.

Abstract: Apparatuses and methods associated with preserving a level of confidence of authenticity of an object are disclosed herein. In embodiments, a method includes acquiring first information corresponding to a physical object; identifying first authentication data based on the first information; initializing a database record associated with the physical object responsive to identifying the first authentication data; determining whether the first authentication data corresponds to original provenance for the physical object; in response to determining that the first authentication data does not correspond to original provenance for the physical object, acquire and store in the database record first record data including authenticity information available in association with identification of the first authentication data; in response to determining that the first authentication data does correspond to original provenance for the physical object, retaining second record data in the database record.

Abstract: In one embodiment, a method includes accessing a video; detecting one or more objects in one or more frames of the video; identifying one or more of the detected objects; determining a relevance score for each of the one or more of the identified objects with respect to a user the video is to be presented to; selecting one or more frames of the video based on the determined relevance scores for the identified objects in the frames; and providing for presentation to the user one or more of the selected frames of the video.

Abstract: Techniques for analyzing stored video upon a request are described. For example, a method of receiving a first application programming interface (API) request to analyze a stored video, the API request to include a location of the stored video and at least one analysis action to perform on the stored video; accessing the location of the stored video to retrieve the stored video; segmenting the accessed video into chunks; processing each chunk with a chunk processor to perform the at least one analysis action, each chunk processor to utilize at least one machine learning model in performing the at least one analysis action; joining the results of the processing of each chunk to generate a final result; storing the final result; and providing the final result to a requestor in response to a second API request is described.

Abstract: In a method and processor for evaluating a contrast agent-enhanced two-dimensional magnetic resonance slice image of a heart of a patient in order to determine picture elements revealing contrast agent deposits in the myocardium, an endocardium contour in the magnetic resonance slice image, taking into consideration deposition information describing picture elements potentially revealing contrast agent deposits and determined by image analysis on the basis of a shape assumption for the heart structure that is to be examined, in particular the left ventricle, such that picture elements potentially revealing contrast agent deposits are avoided as much as possible as a contour component. An epicardium contour enclosing the endocardium contour is then determined. Picture elements are marked that indicate contrast agent enhancement in the myocardium lying between the epicardium contour and the endocardium contour as contrast agent deposit.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire pieces of change information indicating temporal changes in computed tomography (CT) values of a myocardium and a right ventricular of a subject based on a plurality of chronologically consecutive images that are generated by an X-ray CT apparatus by scanning the subject to which a contrast agent is administered. The processing circuitry is configured to correct the piece of change information on the myocardium based on the piece of change information on the right ventricular.

Abstract: A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics.

Abstract: Processing logic makes a comparison between first image data and second image data of a dental arch and determines a plurality of spatial differences between a first representation of the dental arch in the first image data and a second representation of the dental arch in the second image data. The processing logic determines that a first spatial difference is attributable to scanner inaccuracy and that a second spatial difference is attributable to a clinical change to the dental arch. The processing logic generates a third representation of the dental arch that is a modified version of the second representation, wherein the first spatial difference is removed in the third representation, and wherein the third representation comprises a visual enhancement that accentuates the second spatial difference.

Abstract: An image forming apparatus controls at least one proximity communication device in such a manner that an external apparatus is not capable of reading information from the at least one proximity communication device during a period in which power supply to the at least one proximity communication device is stopped.

Abstract: A method of treating cardiac arrhythmia in a heart, including (i) determining that cardiac tissue is viable but with reduced innervation; and (ii) ablating the tissue to reduce a prevalence of arrhythmia in said heart. Optionally, the determining comprises detecting portions of heart wall which lack electrical activity. Optionally, at least some tissue which is viable but lacks nervous control is ablated, for example, to reduce or avoid arrhythmia.

Abstract: A method for sparse image reconstruction includes acquiring coil data from a magnetic resonance imaging device. The coil data includes undersampled k-space data corresponding to a subject. The method further includes processing the coil data using an image reconstruction technique to generate an initial undersampled image. The method also includes generating a reconstructed image based on the coil data, the initial undersampled image, and a plurality of iterative blocks of a flared network. A first iterative block of the flared network receives the initial undersampled image. Each of the plurality of iterative blocks includes a data consistency unit and a regularization unit and the iterative blocks are connected both by direct connections from one iterative block to the following iterative block and by a plurality of dense skip connections to non-adjacent iterative blocks. The flared network is based on a neural network trained using previously acquired coil data.

Abstract: A processing device receives an intraoral image of a first intraoral site. The processing device selects a portion of the intraoral image that depicts a portion of the first intraoral site. The processing device locks at least the portion of the intraoral image. The processing device may then generate a model comprising the first intraoral site based at least in part on the locked intraoral image, wherein the portion of the intraoral image is used for a first region of the model, and wherein data from one or more additional intraoral images that also depict the portion of the first intraoral site is not used for the first region of the model.

Abstract: An action determination device includes: an extraction unit that extracts feature points of an object from captured images; a tracking unit that generates tracking information indicating a moving direction of the object based on the feature points respectively extracted from the captured images temporally preceding and succeeding each other; and a determination unit that determines whether or not an action is performed based on a comparison result between a tracking information group in which a plurality of pieces of the tracking information are accumulated in time series and a registered information group registered in advance in association with the action of the object.

Abstract: An image processing method, a terminal and a storage medium. The method includes: acquiring N target image, wherein each of the target images contains a face image, and N is an integer greater than one (101); determining a covariance matrix of the N target image (102); determining an upper information entropy limit according to the covariance matrix (103); determining whether the upper information entropy limit is greater than a first pre-set threshold value (104); when the upper information entropy limit is greater than the first pre-set threshold value, determining that the N target images contain face images of different people (105); and when the upper information entropy limit is less than or equal to the first pre-set threshold value, determining that the N target images contain face images of the same person (106).

Abstract: In the performance of a procedure on a patient by a medical system, target values for each substep of the procedure are determined in a computer. Actual values for each substep of the procedure are detected. The target values are compared in the computer to the actual values for each substep of the procedure, in order to determine a deviation between the target values and the actual values.

Abstract: A method of monitoring the amount of time spent in a specified area by an individual comprises employing a first camera to automatically create one or more entrance images, each entrance image containing a face of an entering individual that passes a first location, and storing each entrance image in a database along with a corresponding entrance time that the entering individual passed the entrance location. An exit image is compared to the entrance images in the database to identify a matching entrance image containing the same face as the exit image. A stay time is then determined for the exiting individual by determining the difference between the entrance time corresponding to the matching entrance image and the exit time.

Abstract: Provided is a method of discriminating between bloodstains, the method including obtaining a captured image of an analysis target; analyzing the captured image and extracting a scattering image of a plurality of bloodstains in the analysis target; estimating a scattering angle of the scattering image; and determining the plurality of bloodstains to be an impact spatter bloodstain if the scattering angle is greater than a preset reference angle, and determining the plurality of bloodstains to be a cessation cast-off bloodstain if the scattering angle is less than the reference angle.

Abstract: In an object detection apparatus, a first association unit associates, based on radar information and camera information, radar objects with at least one camera object that are estimated to be the same as each other. If camera objects are detected so that the camera information includes at least the detection point and the type of each of the camera objects, a determination unit determines whether the camera objects express a common object in accordance with the camera information. A second association unit defines, upon determination that the camera objects express the common object, the camera objects as a camera object group, and associates, if one of the camera objects constituting the camera object group is associated with a target radar object that is one of the radar objects, all the camera objects constituting the camera object group with the target radar object.