Abstract: A display apparatus includes: a display unit; an acquiring unit configured to acquire brightness information that is information related to display brightness; and a correcting unit configured to, in a case where a first image that is an image based on first image data having a first dynamic range and a second image that is an image based on second image data having a second dynamic range narrower than the first dynamic range are displayed on a screen, correct the second image data so that the first image is displayed in accordance with the display brightness related to the brightness information and the second image is displayed in accordance with display brightness that is lower than the display brightness related to the brightness information.

Abstract: An apparatus and method for insuring the proper alignment of a detected vein pattern and a projected vein pattern are disclosed. The apparatus enhances the visual appearance of veins so that an error that can lead to improper patient care or injury can be avoided.

Abstract: A method for highlighting edges of interest in an image comprising the following steps: calculating edge intensity of edges in the image using gradient operators; applying a transformation to emphasize mid-level edges and deemphasize strong edges; and if a given transformed edge is greater than a threshold value, highlighting the corresponding edge in an edge-highlighted image.

Abstract: Embodiments of methods and apparatus are disclosed for obtaining differential phase contrast imaging system and methods for same. Method and apparatus embodiments can provide regularized phase contrast retrieval that can address noise reduction and/or edge enhancement. Certain exemplary embodiments can suppress stripe artifacts occurring in the process of integration of noisy differential phase data. Further, certain exemplary embodiments can use transmission images and/or dark-field images to improve or restore phase contrast images affected by noise edges.

Abstract: Dimensioning systems may automate or assist with determining the physical dimensions of an object without the need for a manual measurement. A dimensioning system may project a light pattern onto the object, capture an image of the reflected pattern, and observe changes in the imaged pattern to obtain a range image, which contains 3D information corresponding to the object. Then, using the range image, the dimensioning system may calculate the dimensions of the object. In some cases, a single range image does not contain 3D data sufficient for dimensioning the object. To mitigate or solve this problem, the present invention embraces capturing a plurality of range images from different perspectives, and then combining the range images (e.g., using image-stitching) to form a composite range-image, which can be used to determine the object's dimensions.

Abstract: An inspection device according to an embodiment includes a microscope, a storage section, an image processing section and an inspection section. The microscope is configured to obtain a primary image by capturing an inspection target. The storage section stores a function defining a relationship between a low-resolution image and a high-resolution image of a calibration sample. The high-resolution image has smaller pixel size than the low-resolution image. The image processing section is configured to generate a secondary image based on the primary image by using the function. The secondary image has smaller pixel size than the primary image. The inspection section is configured to inspect the inspection target using the secondary image.

Abstract: A method and system for determining if an individual is impaired. In one embodiment, physical and cognitive testing of the individual are conducted in the field or at the scene of an event. The test results are compared to previously stored baseline test results taken for the specific individual while the individual is known to be in an unimpaired state or condition. The current test results are electronically compared to the baseline test results and if the results differ or deviate beyond a predetermined level or amount the individual is considered to be impaired. If no baseline test results exist for the specific individual, the current test results can alternatively be compared to previously determined or known scientifically accepted or minimums for the specific tests given to the individual.

Abstract: A method of inspecting a wire contact includes determining, at a processor, a striation metric of a particular image of the wire contact. The particular image depicts an inspection hole in the wire contact. The method also includes comparing the striation metric to a wire-in-hole detection threshold and determining that a threshold number of visible wire strands are oriented along a particular axis in the inspection hole if the striation metric satisfies the wire-in-hole detection threshold.

Abstract: An image processing sensor includes a threshold calculating unit configured to calculate a threshold with respect to a matching degree indicating a degree of feature matching of a first image including an inspection target object that should be distinguished as a non-defective product and a second image not including the inspection target object that should be distinguished as the non-defective product and a display control unit configured to cause a display unit to display the first image and the second image as images used for the calculation of the threshold by the threshold calculating unit. The display control unit causes the display unit to display, on a first registration screen, as a live image, the one image acquired by the imaging unit, and causes the display unit to display, on a second registration screen, as the live image, the other image acquired by the imaging unit and, as a still image, the already registered one image.

Abstract: Systems and methods are disclosed for predicting the location, onset, or change of coronary lesions from factors like vessel geometry, physiology, and hemodynamics. One method includes: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for part of the individual's vascular system; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; acquiring, for a patient, a geometric model and blood flow characteristics for part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model.

Abstract: A method and system for automatic location of a target treatment structure, such as a pulmonary vein ostium, from an anatomical image. The method includes calculating a most likely path of blood flow through a pulmonary vein based on a cross-sectional area minimization technique and calculating pulmonary vein geometry as a function of length. For example, a pulmonary vein ostium may be located by analyzing a change in pulmonary vein dimensional size or other anatomical factors, such as absolute size. The method may also include determining tissue thickness at the pulmonary vein ostium or other treatment size for treatment dose optimization. The method may be an algorithm performed by a processing unit of a navigation system or other component of a medical system.

Abstract: Systems and methods of imaging an organ of a patient include obtaining a plurality of two-dimensional (2D) tomosynthesis projection images of the organ. An x-ray image of the organ is obtained. A three-dimensional (3D) volume of the organ is reconstructed from the plurality of projection images and the x-ray image. A synthetic 2D image of the organ is generated from the plurality of projection images and the x-ray image. The x-ray image is mapped to the 3D volume. A user selection of an object of interest in the x-ray image or the synthetic 2D image is received. A plane through the 3D volume that crosses the selected object of interest is identified and displayed.

Abstract: Intelligent image parsing for anatomical landmarks and/or organs detection and/or segmentation is provided. A state space of an artificial agent is specified for discrete portions of a test image. A set of actions is determined, each specifying a possible change in a parametric space with respect to the test image. A reward system is established based on applying each action of the set of actions and based on at least one target state. The artificial agent learns an optimal action-value function approximator specifying the behavior of the artificial agent to maximize a cumulative future reward value of the reward system. The behavior of the artificial agent is a sequence of actions moving the agent towards at least one target state. The learned artificial agent is applied on a test image to automatically parse image content.

Abstract: A medical image segmentation method includes: step 1, initialize of the number of clusters and determine the initial values of the cluster centroids; step 2, calculate a Hausdorff distance between each cluster centroid and each pixel in the image; step 3, calculate a membership function of each pixel based on the Hausdorff distance and a Euclid distance between the cluster centroids and each pixel; step 4, calculate an objective function, cluster the pixels of the image based on the updated membership function, and update the centroid value; and repeating step 2-4, until a difference between two objective function values is less than a threshold value. Then the membership function from the last iteration is a final segmentation.

Abstract: A method of improving diagnostic and functional imaging is provided by obtaining at least two input images of a subject, using a medical imager, where each input image includes a different contrast, generating a plurality of copies of the input images using non-local mean (NLM) filtering, using an appropriately programmed computer, where each input image copy of the subject includes different spatial characteristics, obtaining at least one reference image of the subject, using the medical imager, where the reference image includes imaging characteristics that are different form the input images of the subject, training a deep network model, using data augmentation on the appropriately programmed computer, to adaptively tune model parameters to approximate the reference image from an initial set of the input and reference images, with the goal of outputting an improved quality image of other sets of low SNR low resolution images, for analysis by a physician.

Abstract: This invention relates to a system and method for applying an ensemble of segmentations to microscopy images of a tissue sample to determine if the tissue sample is representative of cancerous tissue. The ensemble of segmentations is applied to a plurality of greyscale or color microscopy images to generate a final image level segmentation and a final blob level segmentation. The final image level segmentation and final blob level segmentation are used to calculate a mean nuclear volume to determine if the tissue sample is representative of cancerous tissue.

Abstract: After selecting two or more image series for comparison, images of the image series are interleaved so that they are alternatively displayed in a comparison pane on a display device. In one embodiment, after one or more image series are selected for comparison, an interleaved image series is created containing each of the images of the one or more selected image series, or, alternatively, the interleaved image series comprises links to the images arranged in the interleaved pattern. If differences exist in the images of the multiple image series, these differences may be more easily detectable as the display device cycles between the images. Comparison of images in an interleaved image series may be more advantageous if the images of each selected image series are of a common anatomical area, common image size, and the images are in the same order.

Abstract: Systems, devices, and methods are described for locating and identifying anatomical landmarks, such as ligament attachment points, in image data. These systems, devices, and methods may provide an oblique plane that contains an anatomical landmark such as a ligament attachment point to the tibia. For example, the position at which the anterior cruciate ligament (ACL), medial collateral ligament (MCL) posterior cruciate ligament (PCL), or patellar tendon attaches to the tibia may be identified. The systems, devices, and methods allow for tracing of an anatomical landmark to generate a 3-D marking on a 3-D surface model of a patient's bone. The attachment points may be useful landmarks for patient-matched instrumentation.

Abstract: A computer-implemented method for designing an electro-optical imaging system for estimating the distance of a source includes use of an optical subsystem, a detector subsystem and a digital image processing subsystem. The method includes the modelling of the propagation of radiation from its source through the optical subsystem, the detector subsystem and the digital image processing subsystem; the modelling being based on a spatial model of the source; the method including a joint step of simultaneously designing the optical subsystem and the digital image processing subsystem, the designing step being based at least on one performance metric depending on a comparison between the local estimation of the distance from the source and the actual distance from the source.

Abstract: A method for determining the position of multiple cameras relative to each other includes at a processor, receiving video data from at least one video recording taken by each camera; selecting a subset of frames of each video recording, including determining relative blurriness of each frame of each video recording, selecting frames having a lowest relative blurriness, counting features points in each of the lowest relative blurriness frames, and selecting for further analysis, lowest relative blurriness frames having a highest count of feature points; and processing each selected subset of frames from each video recording to estimate the location and orientation of each camera.

Abstract: A method for building a depth map is operable on a mobile device having a single camera integrated therewith. The method includes capturing a plurality of images of a given view using movement of the mobile device between images, capturing data regarding the movement of the mobile device during capture of the plurality of images, determining a relative position of the mobile device corresponding to each of the plurality of images, and building a depth map using the plurality of images and the relative position corresponding to each of the plurality of images.

Abstract: The present invention provides a method and an apparatus for real time object segmentation of 3D image data based on local feature correspondences between a plurality of views. In order to reduce the computational effort of object segmentation of 3D image data, the segmentation process is performed based on correspondences relating to local features of the image data and a depth map. In this way, computational effort can be significantly reduced and the image segmentation can be carried out very fast.

Abstract: A method for classifying a visual element in a video frame as either foreground or background, the video frame being characterized using a scene model comprising a plurality of modes, the method comprising the steps of: determining a blob boundary characteristic for a blob comprising at least the visual element; identifying a mode matched to the visual element; classifying the visual element and the matched mode as foreground dependent upon a match mode boundary characteristic of the matched mode; and updating the scene model dependent upon the blob boundary characteristic and the matched mode boundary characteristic.

Abstract: In an image processing method, an object is located within an image. An area around the object is determined and divided into at least first and second portions based upon image information within the area. The object can then be classified based upon both image information in the first portion of the area and image information in the second portion of the area.

Abstract: In order to objectively and efficiently measure, visualize and evaluate the quality of images in terms of sharpness, a method for determining a sharpness metric (S) of an image is described. The method includes performing edge detection that results in gradients for the pixels of the image, determining a value representing a contrast metric C of the image, calculating at least three different thresholds (t1,t2,t3) from the image content, and classifying the pixels according to their gradient into at least four groups defined by the thresholds. The sharpness metric (S) is calculated from relationships between the amounts of pixels in the different groups and a multiplicative factor (m) between the at least three thresholds.

Abstract: A method for segmenting bone in spectral image data is described herein. The spectral image data includes at least a first set of image data corresponding to a first energy and second set of image data corresponding to a second different energy. The method includes obtaining the spectral image data. The method further includes extracting a set of features for each voxel in spectral image data. The method further includes determining, for each voxel, a probability that each voxel represents bone structure based on the set of features. The method further includes extracting bone structure from the spectral image data based on the probabilities.

Abstract: A human-shape image segmentation method comprising: extracting multi-scale context information for all first pixel points for training a human-shape image; sending image blocks of all scales of all the first pixel points into a same convolution neural network to form a multi-channel convolutional neural network group, wherein each channel corresponds to image blocks of one scale; training the neural network group using a back propagation algorithm to obtain human-shape image segmentation training model data; extracting multi-scale context information for all second pixels points for testing the human-shape image; sending image blocks of different scales of each of the second pixel points into a neural network channel corresponding to the human-shape image segmentation training model, wherein if said first probability is larger than said second probability, the second pixel points belong to the human-shape region, otherwise, the second pixel points are outside of the human-shape region.

Abstract: Devices and techniques are generally described for segmentation of object image data from background image data. In some examples, the segmentation of object image data may comprise capturing image data comprising color data and depth data. In some examples, the segmentation of object image data may further include separating the depth data into a plurality of clusters of image data, wherein each cluster is associated with a respective range of depth values. In various examples, the segmentation of object image data may comprise selecting a main cluster of image data as corresponding to an object of interest in the image data. In various other examples, the segmentation of object image data may comprise identifying pixels of the main cluster that correspond to the object of interest.

Abstract: In one implementation, a method includes generating a set of candidate objects based at least in part on a set of image data, where the set of image data includes image data from a plurality of image sources. The method also includes generating a set of visual signatures, wherein each of the visual signatures in the set of visual signatures characterizes a candidate object in the set of candidate objects. The method further includes transforming at least two candidate objects in the set of candidate objects into a single object according to a determination that correspondence between visual signatures for the at least two candidate objects satisfies one or more correspondence criteria.

Abstract: A water droplet detection device has an image capturing unit and a water droplet detection unit. The image capturing unit has a photographic optical system that an area captures an image of a predetermined area. The water droplet detection unit sets an arbitrary attention point in the captured image, a plurality of first reference points inside an imaginary circle of a predetermined radius having the attention point as a center the imaginary circle, and a plurality of second reference points corresponding to the first reference points outside the imaginary circle. The water droplet detection unit detects edge information between the first reference points and second reference points, and assesses a circularity strength of the edge information to detect a water droplet attached to the photographic optical system. The water droplet detection device can be used with an image conversion unit to form a three-dimensional object detection device.

Abstract: A forecasting neural network receives data and extracts features from the data. A recurrent neural network included in the forecasting neural network provides forecasted features based on the extracted features. In an embodiment, the forecasting neural network receives an image, and features of the image are extracted. The recurrent neural network forecasts features based on the extracted features, and pose is forecasted based on the forecasted features. Additionally or alternatively, additional poses are forecasted based on additional forecasted features.

Abstract: Methods for registering a three-dimensional model of a body volume to a real-time indication of a sensor position that involve analyzing scanned and sensed voxels and using parameters or thresholds to identify said voxels as being either tissue or intraluminal fluid. Those voxels identified as fluid are then used to construct a real-time sensed three-dimensional model of the lumen which is then compared to a similarly constructed, but previously scanned model to establish and update registration.

Abstract: It is inter alia disclosed to classify samples of a set of samples of an image regarding whether or not a respective sample comprises optical information on a specific object type based on classification information. Therein, the classification information comprises a plurality of classifiers, each classifier being associated exclusively with one color channel of a plurality of color channels.

Abstract: Provided is a change degree deriving device including a receiving unit that receives an image obtained by capturing a known color body and an object while focusing on the object, the known color body including plural of color samples, each of which has a known color numerical value, and a detection image, and a detecting unit that detects a focus deviation of the color samples in the image, based on the detection image.

Abstract: A system for registering a three dimensional map of an environment includes a data collection device, such as a robotic device, one or more sensors installable on the device, such as a camera, a LiDAR sensor, an inertial measurement unit (IMU), and a global positioning system receiver. The system may be configured to use the sensor data to perform visual odometry, and/or LiDAR odometry. The system may use IMU measurements to determine an initial estimate, and use a modified generalized iterative closest point algorithm by examining only a portion of scan lines for each frame or combining multiple feature points across multiple frames. While performing the visual and LiDAR odometries, the system may simultaneously perform map registration through a global registration framework and optimize the registration over multiple frames.

Abstract: Systems, methods, and non-transitory computer-readable media can obtain a spherical media content item that captures at least one scene from a plurality of different positions. A three-dimensional object with a plurality of faces that converge at a point is determined. At least a first portion of the spherical media content item is mapped to at least a first face in the plurality of faces.

Abstract: The present disclosure relates to methods and systems for calculating dimensions of objects on loaded or partially loaded pallets for purposes of billing in shipping and transportation applications using depth-sensing imaging devices. A plurality of depth maps of an object are retrieved from one or more imaging devices. The depth maps are filtered and transformed into a world co-ordinate system based on calibration of the imaging devices. A point cloud is generated and a minimum volume bounding box is determined. The edge lengths and height of the object are calculated, and a volume may be determined to associate a volume with the object.

Abstract: A feature point positioning apparatus includes a memory storing computer-executable instructions; and one or more processors configured to execute the computer-executable instructions such that the one or more processors are configured to, iteratively update a first form coefficient based on, a nonlinear feature extracted from an image, and a regression factor matrix obtained through training, and detect a position of the feature point of the image based on, the updated first form coefficient, and a statistical form model obtained through training.

Abstract: The systems and methods described herein can pre-process a blendshape matrix via a global clusterization process and a local clusterization process. The pre-processing can cause the blendshape matrix to be divided into multiple blocks. The techniques can further apply a matrix compression technique to each block of the blendshape matrix to generate a compression result. The matrix compression technique can comprise a matrix approximation step, an accuracy verification step, and a recursive compression step. The compression result for each block may be combined to generate a compressed blendshape matrix for rendering a virtual entity.

Abstract: A method, computer program product, and system for sparse convolutional neural networks that improves efficiency is described. Multi-bit data for input to a processing element is received at a compaction engine. The multi-bit data is determined to equal zero and a single bit signal is transmitted from the memory interface to the processing element in lieu of the multi-bit data, where the single bit signal indicates that the multi-bit data equals zero. A compacted data sequence for input to a processing element is received by a memory interface. The compacted data sequence is transmitted from the memory interface to an expansion engine. Non-zero values are extracted from the compacted data sequence and zeros are inserted between the non-zero values by the expansion engine to generate an expanded data sequence that is output to the processing element.

Abstract: When graphics computations are to be performed to calculate the display data of a figure to be drawn within a frame that is formed of a plurality of lines in accordance with input vector data, the present invention reduces the storage capacity of a RAM to which a work area for storing intermediate data is allocated. When the graphics computations are to be performed, the frame in which the figure is to be displayed is segmented into a plurality of drawing areas for each of the lines. As regards the work area for storing the intermediate data, the same work area is allocated to all the drawing areas. The graphics computations for calculating the intermediate data of the individual drawing areas are sequentially performed by repeatedly using the same work area.

Abstract: A storage unit storing first drawing data shared in common by at least two video frames among a plurality of video frames. A control unit generating second drawing data based on second drawing instruction data for drawing a portion that differs in drawing data pertaining to the plurality of video frames and generates the drawing data pertaining to the plurality of video frames by combining the first drawing data and the second drawing data. An output unit outputs video based on the drawing data pertaining to the plurality of video frames.

Abstract: A system receives one or more measured physiological parameters of a patient and displays a graphical representation of the same. A display module generates a graphical display that includes a range of possible values for the physiological parameter, one or more thresholds and/or alarm values, a numeric display of the current value of the measured physiological parameter, and a historical comparator of the current value with historical values.

Abstract: A method of providing a control map for a control target facility is provided. The method includes generating a central node corresponding to an interest object, the interest object being selected by a user from among first objects managed by a remote control system; generating peripheral nodes respectively corresponding to second objects that are associated with the interest object, the second objects being selected from among the first objects; generating an edge which connects the central node to one of the peripheral nodes or connects the peripheral nodes to each other; and graphically rendering the central node, the peripheral nodes, and the edge to be displayed.

Abstract: Certain embodiments involve generating graphical depictions of data sets based on mapping paths of graphical objects to data properties. In one example, a graphics editing application displays a graphical interface for mapping a vector-based graphic to a data set. The vector-based graphic includes graphical objects defined by connected paths. The graphical interface receives input specifying modifications to visual properties of different graphical objects. For graphical objects mapped to data properties in the data set, the graphics editing application applies constraints to visual property modifications, where the constraints are based on mappings to the data properties in the data set. For graphical objects without mappings to data properties, the graphics editing application applies visual property modifications without these constraints.

Abstract: A method of rendering an image in a display apparatus includes acquiring information about a repeated shape that represents at least a part of one or more geometric shapes included in the image and repeatedly occurs in the one or more geometric shapes; acquiring rendering information representing a method of rendering the one or more geometric shapes based on the information about the repeated shape; and rendering the one or more geometric shapes based on the information about the repeated shape and the rendering information.

Abstract: Disclosed is a set for assisting in the shooting of images of an object including a mobile removable support (120) configured to receive the object, a unit (135) for modifying the pose of a member, including a unit for rigid fastening by suspension of the support, making it possible to modify the pose of the support, image shooting unit (110) enabling images to be obtained representing the support and the object placed on the support as well as computing unit (115) for receiving images from the image shooting unit, analyzing the images received and, in response to an analysis of those images and predetermined position information, controlling the unit for modifying the pose of a member.

Abstract: Map data for generating a digital map of a geographic area is received, the digital map is generated using the received map data, and the digital map is displayed via a user interface. An interactive runway of photographic images corresponding to objects located within the geographic area is generated, the runway being a linear arrangement of the photographic images. Generating the runway includes rating each of the candidate photographic images corresponding to objects located within the within the geographic area using viewing signals related to at least one of the photographic image or an object depicted in the photographic image, and selecting, from among the candidate photographic images, the photographic images for inclusion in the interactive runway, using the rating. The interactive runway is displayed over the digital map.

Abstract: A device and a method of managing user information are provided. The device includes a display and a controller. The controller controls the display to display an avatar-based image according to user schedule information, change the avatar-based image according to a user input indicating a request to change the avatar-based image, and update the user schedule information according to the changed avatar-based image. The method includes displaying, on a display of a device, an avatar-based image according to user schedule information, changing the avatar-based image according to a user input indicating a request to change the avatar-based image, and updating the user schedule information according to the changed avatar-based image.

Abstract: Embodiments of the invention are directed an animation kit including a template page with at least one template design, an armature that moves between at least a first position and a second position, and an animation application that generates an animated segment corresponding to the template design and at least one pose of the armature. In further embodiments, a method for generating an animated segment is provided. In another embodiment, a system for generating an animated sequence includes a template design and an application that receives an image of the template design and animates at least one three-dimensional image corresponding to the captured template design.