Abstract: A method for one or more processors to select a plurality of documents. The one or more processors calculate a similarity between pairs of pages of respective documents of the plurality of documents. The one or more processors determine a document similarity value of the respective documents of the plurality of documents, based on a quantity of the pairs of pages of the respective document with a similarity calculated to be less than a predetermined threshold, and the one or more processors present the plurality of documents in a descending order, based on the document similarity value of the respective documents of the plurality of documents.

Abstract: A system and kit for capturing a 3D image of a body a user includes a plurality of pillar segments being configurable between an assembled configuration and a disassembled configuration. In the assembled configuration, the pillar segments are joined to form one or more upstanding sensing pillars. A plurality of sensors operable to capture image data are distributed along the one or more sensing pillars. The plurality of sensors have fields of view that are overlapping when supported on the sensing pillars. In the disassembled configuration, transportation of the pillar segments is facilitated. The system and kit may be suitable for use at a remote location. Additional functionalities may include a power storage unit, solar charging panels, climate control subsystem, and wireless communication submodule. In operation, the sensing pillars may be enclosed within an enclosure.

Abstract: Disclosed is a system to assist in a procedure. During the procedure an object may be moved relative to a subject, such as being positioned and/or placed within a subject. The system and related method may be used to assist in displaying and/or determining a pose of the object relative to a subject, such as rigid portions of a subject.

Abstract: A self-position estimation device equipped to a vehicle: captures an image of a periphery of the vehicle; detects a state quantity of the vehicle; acquires position information indicating a position of the vehicle from a satellite system; stores map data that defines a map in which a road is expressed by a link and a node; estimate a self-position of the vehicle on the map, as an estimation position, based on the captured image, the state quantity, the position information, and the map data, respectively; recognizes a road section in which a lane quantity increases or decreases based on the captured image; and sets a weighting of the estimation position of the vehicle estimated based on the map data relatively smaller in response to a recognition of the road section in which the lane quantity increases or decreases.

Abstract: Systems and methods for analysis of fluid leakage are disclosed. A system may include at least one processor configured to receive in real time, intracavitary video of a surgical procedure; analyze frames of the intracavitary video to determine an abnormal fluid leakage situation in the intracavitary video; and institute a remedial action when the abnormal fluid leakage situation is determined.

Abstract: A two-dimensional scalar field data visualization method and system based on colormap optimization including: receiving initial colormap and two-dimensional scalar field input data; calculating key colors in the initial colormap, and setting the key colors as control points; calculating a linear interpolation between pairwise control points using a piecewise linear function, generating and mapping a colormap to the two-dimensional scalar field data; establishing an energy optimization equation for control point coordinate positions and the mapped two-dimensional scalar field data, where the coordinate positions are numerical values between 0 and 1 obtained by normalizing index values in the colormap corresponding to the control points; and solving the energy optimization equation to obtain a control point coordinate position, generating a new colormap using the piecewise linear function and optimized control point coordinate position, and mapping the new colormap to the two-dimensional scalar field data, to o

Abstract: Method to customize an application associated with a television experience based on the recognition of users located in front of a display and in the field of view of a camera, comprising the following steps: an initialization step during which each user is enrolled in a database of a computer system and is defined by a profile referenced by a profile ID and comprising the user name, biometric data and additional personal data, a finding step during which a wide image, acquired by said camera is scanned to isolate at least one user's faces, to define a marking area surrounding it, to memorize the position of said marking areas, a matching step to extract the biometric data from said marking area, to match them with the biometric data of the profiles stored in the database, and to assign the detected profile ID with the marking area.

Abstract: Medical imaging systems and methods for representing a 3D volume containing at least one foreign object introduced into a tissue. Imaging methods may include provision of a 3D volume containing voxels of at least one foreign object and voxels of tissue surrounding the at least one foreign object, identification of the voxels of the at least one foreign object by application of a processing rule, segmentation of the voxels of the at least one foreign object from the voxels of the tissue surrounding the at least one foreign object while maintaining the 3D volume, generation of a synthetic volume from a residual volume and the volume of the at least one foreign object, and representation of the synthetic volume on a display device using a windowing system.

Abstract: A non-transitory computer readable medium storing an image processing program causing a computer to execute image processing, the image processing program causing the computer to execute: a person storage step of storing a person region that is a region that includes a person detected in a frame image and is smaller than the frame image; an image acquisition step of acquiring the frame image from a moving image; a detection region setting step of setting a detection region that is a region based on the person region stored in the person storage step in the frame image acquired in the image acquisition step; and a person detection step of detecting the person from the detection region set in the detection region setting step.

Abstract: Medical imaging systems and methods for determining contours of anatomical structures of vessels and vessel sections for representation in X-ray-based fluoroscopic images. Methods can include capturing a mask image, recording at least one filling image including a vascular tree filled with contrast agent, subtracting the mask image from the at least one filling image to produce at least one vessel image, generating a segmented vessel image by segmenting the vascular tree filled with contrast agent in the at least one vessel image and removing from the at least one segmented vessel image such vessels and vessel sections that do not meet a threshold value, wherein the threshold value represents a function of at least one predetermined structural feature, and superimposing the at least one segmented vessel image with a live X-ray image and reproduction on a display device.

Abstract: The present disclosure relates to systems and methods for medical imaging. The method may include obtain scanning data and at least one prior image of a subject. The method may include determining a restriction factor for each of the at least one prior image based on the scanning data. The restriction factor of the each prior image may relate to a motion of the subject corresponding to the scanning data. The method may include determining an objective function based on the restriction factor. The method may also include reconstructing, using the objective function, a target image of the subject based on the scanning data and the at least one prior image.

Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.

Abstract: A method for tracking movement of nematode worms comprises: (i) providing a plurality of worms on a translucent substrate; (ii) obtaining a first image of a field of view including the plurality of worms by transmission imaging; (iii) obtaining a first difference image of the plurality of worms corresponding to an intensity difference between said first image and a background image of the field of view; (iv) repeating the following steps (a) to (d) a plurality of N times, for n=1 to N: (a) determining, from the first difference image, an nth pixel corresponding to a maximum intensity difference; (b) selecting, from the first difference image, an nth block of pixels comprising the selected nth pixel; (c) determining a coordinate associated with the selected nth block of pixels; and (d) updating said first difference image by setting each pixel of said nth block of pixels in said first difference image to a value corresponding to a zero or low intensity difference; (v) obtaining a sequence of M subsequent image

Abstract: A method of recognizing animals includes recognizing a plurality of body parts of a plurality of animals based on at least one image of the animals, in which the plurality of body parts include a plurality of types of body parts, including determining first estimated positions of the recognized body parts in the at least one image. The method includes estimating a plurality of first associations of body parts based on the at least one image of the animals, each first association of body parts associates a body part of an animal with at least one other body part of the same animal, including determining relative positions of the body parts in each estimated first association of body parts in the at least one image.

Abstract: Methods and systems integrate digital fingerprint authentication-based identification and location tracking into a single, continuous process in which an authentication-integrated tracking system is simultaneously aware of both the identity and location of each physical object at all times as they move along a conveyance system. Insertion or removal of an object is quickly detected and reported. Rapid reestablishment and continuation of authentication-integrated tracking is enabled in the event of any temporary interruption or failure of tracking in the system. An exemplary system comprises plural tracking units networked together, each tracking unit including a camera or scanner to observe a corresponding field of view, the tracking units arrange to realize a continuous field of view of a physical conveyance system.

Abstract: The present invention relates to a method for generating a prediction result for predicting an occurrence of fatal symptoms of a subject in advance, a method for performing data classification by using data augmentation in mechanical learning for the same, and a computing device using the same. Particularly, the computing device according to the present invention acquires vital signs of the subject, converts the same into individuated data, generates analysis information from the individuated data on the basis of a machine learning model, generates a prediction result by referring to the analysis information, and provides the prediction result to an external entity.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive video frames generated by a plurality of capture devices. The processor may be configured to perform operations to detect objects in the video frames received from a first of the capture devices, determine depth information corresponding to the objects detected, determine blending lines in response to the depth information, perform video stitching operations on the video frames from the capture devices based on the blending lines and generate panoramic video frames in response to the video stitching operations. The blending lines may correspond to gaps in a field of view of the panoramic video frames. The blending lines may be determined to prevent the objects from being in the gaps in the field of view. The panoramic video frames may be generated to fit a size of a display.

Abstract: In one embodiment, a video analysis service receives video data captured by one or more cameras at a particular location. The service applies a neural network-based model to portions of the video data, to identify objects within the video data. The service maps outputs of the neural network-based model to symbols using a conceptual space. The outputs of the model comprise the identified objects. The service applies a symbolic reasoning engine to the symbols, to generate an alert. The service sends the alert to a user interface in conjunction with the video data.

Abstract: A method, applied to an apparatus for mammographic multi-view mass identification, includes receiving a main image, a first auxiliary image, and a second auxiliary image. The main image and the first auxiliary image are images of a breast of a person, and the second auxiliary image is an image of another breast of the person. The method further includes detecting the nipple location based on the main image and the first auxiliary image; generating a first probability map of the main image based on the main image, the first auxiliary image, and the nipple location; generating a second probability map of the main image based on the main image, the second auxiliary image, and the nipple location; and generating and outputting a fused probability map based on the first probability map and the second probability map.

Abstract: The disclosure relates to a system and method for image reconstruction. The method may include the steps of: obtaining raw data corresponding to radiation rays within a volume, determining a radiation ray passing a plurality of voxels, grouping the voxels into a plurality of subsets such that at least some subset of voxels are sequentially loaded into a memory, and performing a calculation relating to the sequentially loaded voxels. The radiation ray may be determined based on the raw data. The calculation may be performed by a plurality of processing threads in a parallel hardware architecture. A processing thread may correspond to a subset of voxels.