Abstract: In particular embodiments, one or more images associated with a primary user are received. The image(s) may comprise single images, a series of related images, or video frames. In each image, one or more faces are detected and/or tracked. For each face, a set of one or more candidates are selected who may be identified with the face. A candidate score is calculated for each candidate based on a computed measure of affinity of the primary user for a particular candidate, a facial recognition score comparing the candidate to the face, and a geographic proximity of the candidate to the primary user at a time when the one or more images were created. A winning candidate is selected based on the candidate scores.

Abstract: A triangulation device for computing a three-dimensional position of a measurement target point using a stereo method, the triangulation device includes: optimum image coordinate estimation unit configured to, based on coordinates of corresponding points corresponding to the measurement target point in two images each of which including an image of the measurement target point, and intrinsic parameters and extrinsic parameters of optical instruments generating the two images, calculate correction vectors by which coordinates of the corrected corresponding points satisfy an epipolar equation composed of the intrinsic parameters and the extrinsic parameters, using a characteristic polynomial including a correction amount of coordinates of the corresponding points or a reciprocal of the correction amount as a variable, and compute coordinates of the corrected corresponding points based on calculated correction vectors; and three-dimensional coordinate calculation unit configured to calculate three-dimensional co

Abstract: An apparatus divides a photographed image of a sheet-like inspection object into blocks each of which has a size of a predetermined number of pixels by a predetermined number of pixels, calculates a longitudinal variance based on pixel values in a longitudinal direction in each block and a lateral variance based on pixel values in a lateral direction in the block, determines whether the block is a defect candidate using the longitudinal variance and the lateral variance as sheet-like inspection object defect determination evaluation values, and determines, based on one of a length and an area of the blocks determined as the defect candidates, whether the sheet-like inspection object has defect.

Abstract: The invention provides a method and system for embedding a watermark in a digital image and recovering the watermark from the digital image. The method includes representing the plurality of binary bits in the watermark using a plurality of symbols, wherein each symbol of the plurality of symbols represents at least two binary bits. The plurality of symbols are then transformed into a plurality of pseudo noise (PN) sequences, wherein a symbol transformed into a PN sequence represents one or more PN sequence vectors from a set of PN sequence vectors. Once the transformation is done, the plurality of PN sequences are embedded in the digital image to generate a watermarked image. During recovery, the watermark is recovered from the watermarked image by identifying the plurality of PN sequences in the watermarked image for recovering the corresponding plurality of symbols associated with the watermark.

Abstract: An obtaining unit obtains, with respect to a plurality of groups of time-course fluoroscopic images that are obtained by acquiring a subject, in at least two directions, each of which intersect, first transition information that indicates transition of a signal intensity of a contrast media in a proximal region to which the contrast media flows earlier than a region of interest. A three dimensional reconstruction unit reconstructs three-dimensional image data in the region of interest such that a value that is obtained by projecting a voxel value approximates a value of a corresponding pixel in each of the groups of time-course fluoroscopic images, the voxel value being represented by second transition information that is obtained by deforming the first transition information with a factor that is related to the contrast media. A display displays the fluoroscopic image with a blood vessel image based on the three-dimensional image data.

Abstract: The invention relates to a method for automatic detection and tracking of one or multiple objects of interest in a video sequence comprising several successive frames (1) captured with a moving camera, comprising:—segmenting (32) each frame into regions depending on color and producing a segmented image (1?);—deducing (34) from each segmented image (1?) a region adjacency graph (11) comprising nodes and edges, wherein each node defines a region and each edge links two nodes of adjacent regions; wherein the region adjacency graphs (11) form a set of region adjacency graphs;—extracting (36) from the set of region adjacency graphs frequent spatio-temporal patterns (13);—determining (38) degrees of dissimilarity between the trajectories of the extracted frequent spatio-temporal patterns (13) between successive frames (1); and—clustering (39) the frequent spatio-temporal patterns (13) to produce at least one cluster (25, 26, 27) corresponding to one object of interest among said one or multiple objects of interest

Abstract: There is provided with an image processing apparatus. A captured image of a target object that is captured by an image capturing apparatus is obtained. Information that indicates a deterioration degree of the captured image is obtained for a position in the captured image. A feature of the target object is extracted from the captured image based on the deterioration degree. The feature of the target object and a feature of the three-dimensional model observed when the three-dimensional model is arranged in accordance with a predetermined position and orientation are associated. A position and orientation of the target object with respect to the image capturing apparatus are derived by correcting the predetermined position and orientation based on a result of association.

Abstract: Discussed herein are systems, devices, and methods for filtering digital elevation map (DEM) data. A method can include ingesting digital elevation map (DEM) data and intensity data from a panchromatic (PAN) or multi-spectral (MS) image, filling in voids in the ingested DEM data using local interpolation to create interpolated DEM data, creating a shadow map based on the received intensity data, modifying, using the created shadow map, a height of one or more pixels in the interpolated DEM data to create a modified DEM file, and storing the modified DEM file in a memory.

Abstract: The invention relates to a data processing method of determining a transformation for transforming medical image data into a positional reference system, the method being executed by a computer and comprising the following steps: a) acquiring, from a medical imaging apparatus (5), medical image data comprising medical image information describing a two-dimensional image of an anatomical body part (1); b) acquiring medical image selection data comprising medical image selection information describing a selection (4) from the medical image information; c) acquiring imaging apparatus characteristic data comprising imaging apparatus characteristic information describing an imaging characteristic of the medical imaging apparatus (5); d) determining, based on the medical image data, medical image selection data and imaging apparatus characteristic data, selection position data comprising selection position information describing a three-dimensional position of an anatomical structure (2) in the anatomical body part

Abstract: A processing device generates composite images from a sequence of images. The composite images may be used as frames of video. A foreground/background segmentation is performed at selected frames to extract a plurality of foreground object images depicting a foreground object at different locations as it moves across a scene. The foreground object images are stored to a foreground object list. The foreground object images in the foreground object list are overlaid onto subsequent video frames that follow the respective frames from which they were extracted, thereby generating a composite video.

Abstract: A processing device generates composite images from a sequence of images. The composite images may be used as frames of video. A foreground/background segmentation is performed at selected frames to extract a plurality of foreground object images depicting a foreground object at different locations as it moves across a scene. The foreground object images are stored to a foreground object list. The foreground object images in the foreground object list are overlaid onto subsequent video frames that follow the respective frames from which they were extracted, thereby generating a composite video.

Abstract: Some implementations provide a machine-assisted method for screening a person, the method including: receiving, at a scanning device, an identification document presented by the person, the identification document showing a machine-readable code that encodes personally identifiable information of the person, a biometric of the person, and printed information; scanning the machine-readable code on the identification document to extract personally identifiable information of the person; comparing the extracted personally identifiable information against records stored at a database; determining that the extracted personal identifiable information matches a record stored at the database; receiving data encoding the biometric of the person on the identification document for comparison with the person presenting the identification document; receiving a determination that the biometric from the identification document identifies the person presenting the identification document; and determining whether the identifi

Abstract: An obstacle detection apparatus according to an embodiment includes an on-vehicle camera (image capturing unit), an estimation unit, and a determination unit. The on-vehicle camera is provided on a vehicle and captures an image of surroundings of the vehicle. The estimation unit estimates an existence region with an obstacle existing therein in an image captured by the image capturing unit. The determination unit determines presence or absence of the obstacle based on brightness of the existence region.

Abstract: A method includes acquiring image data from for a given time step. The image data represents at least one of an instrument and a target within an image space that includes patient anatomy. A given belief of system state is estimated to include an estimate of instrument state and target state determined from corresponding measurement and motion models computed based on the acquired image data and control input parameters for the given time step. An expected belief of system state is estimated for a subsequent time step based on the estimated given belief of system state and based on the measurement models and the motion models computed over a plurality of different control inputs parameters. An information metric is computed for each of the expected beliefs of system state and control input parameters are selected for the subsequent time step based on the computed information metrics.

Abstract: A system includes a head mounted display (HMD) device comprising at least one display and at least one sensor to provide pose information for the HMD device. The system further includes a sensor integrator module coupled to the at least one sensor, the sensor integrator module to determine a motion vector for the HMD device based on the pose information, and an application processor to render a first texture based on pose of the HMD device determined from the pose information. The system further includes a motion analysis module to determine a first velocity field having a pixel velocity for at least a subset of pixels of the first texture, and a compositor to render a second texture based on the first texture, the first velocity field and the motion vector for the HMD, and to provide the second texture to the display of the HMD device.

Abstract: A medical image processing apparatus includes a medical image data obtaining unit for obtaining medical image data containing an image of a heart, and a region extraction processing unit for extracting a left ventricular region of the heart in the medical image data obtained by the medical image data obtaining unit, and, based on an extraction result of the left ventricular region, performing region extraction processing for extracting at least one of a right ventricular region, a left atrium region, and a right atrium region of the heart.

Abstract: A system for detecting a change in object positioning by processing images by detecting a first entity tagged with a first visually unique identifier, and detecting a second entity tagged with a second visually unique identifier distinguishable from the first visually unique identifier. The system receives a first image, from a first image capturing device, containing the first visually unique identifier and the second visually unique identifier. The system analyzes the first image to determine a distance between the first visually unique identifier and the second visually unique identifier. The system receives a second image containing the first visually unique identifier. The system analyzes the second image to determine a location of the second visually unique identifier relative to the first visually unique identifier to form a distance assessment. Based on the distance assessment, the system determines a change in proximity between the first entity and the second entity.

Abstract: A computer-based method is herein disclosed, allowing to differentiate automatically between two tissues of interest: an extrinsic and an intrinsic tissue, from a plurality of images, obtaining a quantitative assessment of each of said tissues without requiring the intervention of an expert. Said method involves the definition of a differentiation region in images obtained from a medical imaging acquisition device using a parametric contour, after which differentiation and quantification are carried out based on the photometric characteristics of the different tissues observed in images, evaluating the local neighborhood of each voxel belonging to the differentiation region previously defined in the plurality of images. The disclosed method increases to a great extent precision in differentiation and quantification of tissues, while the shown percentage error is considered tolerable for diagnostic purposes.

Abstract: In an embodiment, a method converts two images to a transform representation in a transform domain. For each spatial position, the method examines coefficients representing a neighborhood of the spatial position that is spatially the same across each of the two images. The method calculates a first vector in the transform domain based on first coefficients representing the spatial position, the first vector representing change from a first to second image of the two images describing deformation. The method modifies the first vector to create a second vector in the transform domain representing amplified movement at the spatial position between the first and second images. The method calculates second coefficients based on the second vector of the transform domain. From the second coefficients, the method generates an output image showing motion amplified according to the second vector for each spatial position between the first and second images.

Abstract: In an example embodiment, a web page is obtained using a web page address stored in a first record and is parsed to extract one or more images from the web page along with a second plurality of features for each of the one or more images from the web page. Information about each image of the web page and the extracted second plurality of features for the web page are input into a supervised machine learning classifier to calculate a logo confidence score for each image of the web page, the logo confidence score indicating the probability that the image is an organization logo. In response to a particular image in the web page having a logo confidence score transgressing a first threshold, the particular image is injected into an organization logo field of the first record.