Abstract: Disclosed is a medical information processing apparatus including a medical information storage unit in which a piece of position information in a model image of a human body and a piece of medical information are stored, a first display control unit which displays a medical image, a specifying unit which specifies a focus position in the medical image, an extraction unit which converts a piece of position information of the focus position into a piece of position information in the model image and which extracts a piece of medical information corresponding to the piece of position information in the model image from the medical information storage unit, a second display control unit which displays the piece of medical information as a selection candidate, a selection unit which selects a piece of medical information, and a creation unit which creates an interpretation report by using the piece of medical information.

Abstract: A system is provided for identifying reference locations within the environment of a device wearer. The system includes a scene camera mounted on eyewear or headwear coupled to a processing unit. The system may recognize objects with known geometries that occur naturally within the wearer's environment or objects that have been intentionally placed at known locations within the wearer's environment. One or more light sources may be mounted on the headwear that illuminate reflective surfaces at selected times and wavelengths to help identify scene reference locations and glints projected from known locations onto the surface of the eye. The processing unit may control light sources to adjust illumination levels in order to help identify reference locations within the environment and corresponding glints on the surface of the eye. Objects may be identified substantially continuously within video images from scene cameras to provide a continuous data stream of reference locations.

Abstract: An image processing apparatus includes: when a probe is moved, a shift amount correction section configured to correct an amount of shift from a first frame to a second frame being a frame at different time from the first frame; and a distortion amount calculation section configured to calculate an amount of distortion on the basis of a phase difference detected from the first frame and the second frame having been subjected to shift amount correction by the shift amount correction section.

Abstract: An apparatus of motion amplification to communicate biological vital signs includes a first frequency filter that applies a frequency filter to at least two images, a regional facial clusterial module that is coupled to the first frequency filter and that applies spatial clustering to output of the first frequency filter, a second frequency filter that is coupled to the regional facial clusterial module and that is applied to output of the regional facial clusterial module, thus generating a temporal variation, a vital-sign generator that is coupled to the second frequency filter that generates at least one vital sign from the temporal variation, and a display device that is coupled to the vital-sign generator that displays the at least one vital sign.

Abstract: An imaging tomosynthesis system, in particular a mammography system, includes a computer system which generates x-ray projections of an examination object from a plurality of projection angles. The system further reconstructs a stack of tomosynthetic slice images, generates at least one overview image of density values of an examination object from the tomosynthetic image data, selects characteristic density values in the stack at at least one plane position, and determines the geometric level of the at least one selected characteristic density value. The overview image is then displayed with a color value correlated to the geometric level of the at least one characteristic density value.

Abstract: A medical image processing apparatus displaying at least one medical image obtained by imaging an object comprises: processing circuitry configured to detect a position of a characteristic local structure of a human body from the medical image, to determine check information indicating the local structure which should be checked; and to determine whether or not the local structure which should be checked indicated in the check information has been diagnostically read based on the position of the local structure detected from the medical image; and a display configured to display a determination result.

Abstract: A method of identifying, tracking, and counting human objects of interest based upon at least one pair of stereo image frames taken by at least one image capturing device, comprising the steps of: obtaining said stereo image frames and converting each said stereo image frame to a rectified image frame using calibration data obtained for said at least one image capturing device; generating a disparity map based upon a pair of said rectified image frames; generating a depth map based upon said disparity map and said calibration data; identifying the presence or absence of said objects of interest from said depth map and comparing each of said objects of interest to existing tracks comprising previously identified objects of interest; for each said presence of an object of interest, adding said object of interest to one of said existing tracks if said object of interest matches said one existing track, or creating a new track comprising said object of interest if said object of interest does not match any of sai

Abstract: An apparatus includes an acquisition unit configured to acquire an input image, an identifying unit configured to identify a distance from a reference point to a processing target pixel in the input image, a deformation unit configured to deform an image based on the distance, and a sharpening processing unit configured to perform sharpening processing on an image while changing a strength of the sharpening processing, the changing of the strength based on the distance.

Abstract: Embodiments include methods for predicting one or more characteristics of an individual, such as a human or non-human animal, by applying computational methods to image(s) of the individual to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of individuals, determining facial measurements for each individual, determining relationships between facial measurements and additional library data, and selecting predictors from these relationships. Embodiments include methods for predicting characteristics of individuals not in the library. Embodiments include methods for predicting characteristics of groups using predicted characteristics of individuals. Embodiments determine suitability of a pair of individuals (from the same or different species) for a particular purpose, task, or relationship based on characteristics of individuals.

Abstract: A method for optically scanning and measuring a scene by a three-dimensional (3D) measurement device in which multiple scans are generated to then be registered in a joint coordinate system of the scene. At first at least one cluster is generated from at least one scan, further scans are registered for test purposes in the coordinate system of the cluster, if specified quality criteria are fulfilled and the generated clusters are then joined, for which purpose clusters are selected, registered for test purposes and registering is confirmed if appropriate, wherein the clusters to be joined are visualized with an optional possibility for the user to intervene, for supporting the selection of clusters.

Abstract: The invention is a method using a computer to construct a grid representative of the distribution of a physical property of an underground formation having application to petroleum reservoir development. A set of initial grid cells MI containing at least one conditioning point PC is defined. Each cell MI is then visited and assigned a value representative of the property using a filling method. At least one unvisited cell (MNV1, MNV2) adjacent to at least one already visited cell MV is then identified, and the number N of adjacent cells MV is determined for each cell (MNV1, MNV2). Each cell (MNV1, MNV2) is then visited and filled according to the decreasing values of N. The stages of identification and filling of cells (MNV1, MNV2) are repeated until each cell of the grid has been visited.

Abstract: The present disclosure provides a method for rendering of CT image data. The method includes acquiring 2D image data of a background and 2D image data of a target; rendering the 2D image data of the target into a 3D image of the target to obtain a first hit position of a ray; rendering the 2D image data of the background into a 3D image of the background; adjusting the 3D image of the background based on the first hit position; and synthetically rendering the 3D image of the background and the 3D image of the target. The present disclosure also provides apparatus for implementing the method.

Abstract: Face recognition training database generation technique embodiments are presented that generally involve collecting characterizations of a person's face that are captured over time and as the person moves through an environment, to create a training database of facial characterizations for that person. As the facial characterizations are captured over time, they are will represent the person's face as viewed from various angles and distances, different resolutions, and under different environmental conditions (e.g., lighting and haze conditions). Further, over a long period of time where facial characterizations of a person are collected periodically, these characterizations can represent an evolution in the appearance of the person. This produces a rich training resource for use in face recognition systems. In addition, since a person's face recognition training database can be established before it is needed by a face recognition system, once employed, the training will be quicker.

Abstract: An apparatus for segmentation of medical image data comprises a data processing unit for obtaining a first set of image data and a second set of image data, wherein a structure is represented in both the first set of image data and the second set of image data, a classification unit configured to determine a classification of a first type of feature from the first set of image data and to determine a classification of a second type of feature from the second set of image data, and a segmentation unit configured to identify image data representing the structure in dependence on both the classification of the first type of feature from the first set of image data and the classification of the second type of feature from the second set of image data.

Abstract: A method for measuring a width of a gap of a display module includes the following steps. A sample image of the display module is captured from a viewpoint, the sample image includes a frame region corresponding to a frame part of the display module, an inner region corresponding to a display part of the display module, and a gap region corresponding to the gap between the frame and the display parts. A first line and a second line segments are determined in the sample image, the first line segment is a part of a boundary between the frame and the gap regions, and the second line segment is a part of a boundary between the gap and the inner regions. A distance between the first line and the second line segments is calculated to obtain the width of the gap.

Abstract: A computer-implemented image analysis process including accessing image data and range data representing an image of an animal, measuring an object volume from the range data and estimating the animal's weight using the dimensions representing the animal's size. A database containing relative volume and weight information can then be used to accurately predict the animal's weight from calculating its volume.

Abstract: A microprocessor is programmed to execute a spatial bandpass filter that is operable to apply spatial bandpass filtering to a plurality of images, a regional facial clusterial module that is operably coupled to the spatial bandpass filter and that applies spatial clustering to output of the spatial bandpass filter, a temporal bandpass filter that is operably coupled to the regional facial clusterial module and that is applied to output of the regional facial clusterial module, a temporal-variation identifier that is operably coupled to the temporal bandpass filter and that identifies a temporal variation of the output of the temporal bandpass filter and a vital-sign generator that is operably coupled to the temporal-variation identifier that generates a biological vital sign from the temporal variation.

Abstract: A perfusion imaging data processor (122) includes an agent peak characteristic-time determiner (206) configured to determine two or more agent peak characteristic-times respectively for two or more circulatory sub-systems represented in a same sub-set of voxels of a set of time-series data of perfusion imaging data, an agent peak argument determiner (210) configured to determine an agent peak argument for each of the two or more agent peak characteristic-times, an agent peak argument relation determiner (212) configured to determine a relationship between the agent peak arguments of the two or more agent peak characteristic-times, and a perfusion map generator (214) configured to generate, based on the determined relationship and the perfusion imaging data, at least one perfusion map, wherein the at least one perfusion map includes volumetric image data visually presenting at least one of a relationship or a difference between the two or more circulatory sub-systems.

Abstract: A method for analysing microbial growth on a solid culture medium, the method including obtaining image data of the solid culture medium and any microbial growth, generating an associated feature vector of values obtained by applying one or more filters to the image data, using a classifier to classify each pixel in a plurality of pixels in the image data based on the associated feature vector, analysing results of pixel classifications of each said pixel to derive a microbiological assessment of the solid culture medium and any microbial growth, and outputting the microbiological assessment.

Abstract: The present invention provides a detecting apparatus for detecting an abnormal state such as a drop or fall of a person to be observed from a captured image in a real-time manner and realizing improvement in precision of the detection while eliminating the influence of a background image and noise. The detecting apparatus calculates a motion vector of each of blocks of an image of video data, and extracts a block group in which the size of the motion vector exceeds a predetermined value. The detecting apparatus forms a group from adjacent blocks. For example, in descending order of the area of the blocks, the detecting apparatus calculates characteristic amounts such as an average vector, a variance, and a rotation direction component of motion blocks included in the blocks. The detecting apparatus detects that the person to be observed is in an abnormal state such as a drop or fall on the basis of the characteristic amounts of the groups, and informs an external apparatus or the like of the detection result.