Abstract: A method to generate an output image that improves observation of a target image viewed on a medium by an optical system is disclosed. The method includes receiving at least one target image by a processing system, receiving at least one parameter by the processing system, defining an error signal associated with the difference between calculated optical system observation of intermediate images and the at least one target image, minimizing the error signal, and generating an output image associated with the intermediate image having the minimized error.

Abstract: A system and method to illustrate a radiation dose applied to different organs of an exposed subject with diagnostic image acquisition by an imaging scanner is provided. From a scout image, a computer processor can calculate a contour of an extremity of the exposed subject from the two-dimensional scout image; calculate a contour of a first organ dependent on a greyscale intensity of the plurality of pixels that comprise the two-dimensional scout image; calculate a contour of at least one anatomical stage dependent on a predefined geometric orientation relative the contour of the first organ; and apply a predefined auxology criteria to calculate a contour of a second organ dependent on a predefined geometric orientation relative to the contour of the at least one anatomical stage; and create a display illustrative of the a measurement of dose applied at the area defined by the contour of the anatomical stage.

Abstract: A system simulating the reviewing process of breast imaging examination (i.e. mammographic) information provides a data file of breast imaging information including mammographic (and other breast imaging examinations) images that may be scored by a trainee on computerized worksheet and expert assessments of those images. Quantitative data in the expert assessment may be compared to trainee-entered data recovered from the worksheet to provide an assessment of trainee proficiency in interpreting breast imaging studies. The data file of breast imaging information may be derived from actual clinical data anonymized and selected to provide for realistic yet demanding simulation.

Abstract: Each of a plurality of cameras is sequentially selected. An image that does not include a retrieval target object is acquired, as a background image, from an image group captured by a selected camera. An image including the retrieval target object is acquired as a query image. A discriminator being used for identifying the retrieval target object from the image captured by the selected camera is learned using the background image and the query image. The retrieval target object is retrieved from the image group captured by the selected camera using the learned discriminator.

Abstract: A content access request from a first computing device for a digital content can be received. The content associated with request can be a digital content associated with a second computing device. A facial biometric identification challenge can be conveyed to the first computing device. The conveying can trigger the capture of a digital self-portrait photograph of a portion of a face of a user associated with the first computing device. A facial biometric of the face of a user within the digital self-portrait photograph can be compared to facial features of human faces within historic digital media associated with a different user. When the facial biometric matches a facial biometric within historic digital media, the digital content associated with the content access request can be conveyed to the first computing device.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for analyzing an image. The method includes one or more processors identifying a document that includes (i) at least one image and (ii) unstructured text that is situated proximate to the image, wherein both the image and the unstructured text are concurrently displayed in the document. The method further includes identifying one or more potential locations depicted in the image included in the identified document, based on an analysis of the unstructured text that is situated proximate to the image. The method further includes identifying a set of images of a first potential location from the identified one or more potential locations. The method further includes determining whether an image in the set of images of the first potential location substantially matches the image included in the identified document.

Abstract: An apparatus for calculating spatial coordinates is disclosed. The apparatus may extract a plurality of feature points from an input image, calculate a direction vector associated with the feature points, and calculate spatial coordinates the feature points based on a distance between the feature points and the direction vector.

Abstract: A computer-implemented method for penalized-likelihood reconstruction of a Positron Emission Tomography (PET) image includes generating a regularization function in which a smoothing parameter is modulated by one or more data-independent spatially variable modulation factors to compensate for sensitivity variations in a PET voxel dataset, and reconstructing the PET image from the PET emission dataset using the regularization function.

Abstract: Embodiments of the disclosure are directed to segmenting a digital image of biological tissue into biological units, such as cells. A first weak or data driven segmentation is generated using image data representing the digital image to segment the digital image into a first set of biological units. Applying a geometric model, each unit in the first set of biological units is ranked based on a similarity in shape and scale between the unit and one or more other units in the image. A subset of units from the first set of biological units is selected based on the rank of each biological unit relative to a predetermined threshold rank. A second weak or data driven segmentation may then be generated using image data including the subset of biological units to segment that portion of the digital image into a second set of biological units.

Abstract: A method and a device for simplifying space data are provided, and the method includes: an original coordinate point of original space data is transformed into a view coordinate point of a view window according to predetermined view control parameters; the view coordinate point is analyzed that whether it accords with a simplification condition; the original coordinate point corresponding to the view coordinate point that accords with the simplification is simplified according to an analysis result. The method for simplifying space data transforms the original coordinate point of original space data into the view coordinate point of the view window and performs analysis processing, which can ensure that not only the space relation of each simplified space data of random complex itself is displayed correctly, but also the space relations between all the simplified space data are displayed correctly.

Abstract: Aspects of the disclosure relate to classifying the status of objects. For examples, one or more computing devices detect an object from an image of a vehicle's environment. The object is associated with a location. The one or more computing devices receive data corresponding to the surfaces of objects in the vehicle's environment and identifying data within a region around the location of the object. The one or more computing devices also determine whether the data within the region corresponds to a planar surface extending away from an edge of the object. Based on this determination, the one or more computing devices classify the status of the object.

Abstract: Methods, systems, workstations, viewers, grossing stations and computer include a display and a viewer circuit configured to cause the display to concurrently display: (i) a macroscopic view of a grossing specimen with virtual cut location marks associated with orientation and location of actual physical cut locations used to obtain tissue samples from the grossing specimen and (ii) at least one digital microscopic whole-slide image (WSI) of a tissue section from the specimen. The display can show the at least one WSI image on the display with a relevant cut location mark on the macroscopic view shown visually enhanced from other cut location marks on the macroscopic view to thereby allow a user to visually connect where the tissue section in the WSI image was obtained during a grossing procedure.

Abstract: A method is presented for accelerating magnetic resonance imaging. In 3D MRI, the k-space in the phase encoding plane is divided into two symmetric parts and three asymmetric parts. Different sampling densities are applied in different parts. Images are reconstructed by iteratively minimizing a cost function when random sampling is applied in each part. A phase constraint term is added into the cost function to improve the quality of the reconstruction by exploiting the conjugate symmetry of k-space.

Abstract: A system and method are provided for updating imagery associated with map data. A request for map data is received, and a first image of a geographical location corresponding to the map data is provided in response to the request. Information relating to a status of an object in the first image is received, and it is determined whether the first image is to be updated based at least on the received information. If it is determined that the first image is to be updated, an updated image is received and used to update the first image.

Abstract: A three-dimensional data processing and recognizing method including scanning and re-constructing an object to be detected so as to obtain three-dimensional data for recognition of the object to be detected; and extracting data matching to features from the three-dimensional data, so that the extracted data constitutes an interested target in order to display and recognize the object to be detected. A quick method to recognize an object to be detected, such as the shapes of cuboid, cylinder, and cutting tool, and so on.

Abstract: A method comprising using at least one hardware processor for: receiving an aerially-captured video and metadata associated with the video; receiving deviation data indicative of an amount of inaccuracy in the metadata; and overlaying, on the video, a geographic annotation descriptive of an object of interest having known geographic coordinates, wherein the geographic annotation is of a size and a shape representative of the amount of inaccuracy.

Abstract: Methods, systems, and media for generating and/or analyzing medical images having elongated structures are provided. In some embodiments, a method for analyzing medical images is provided, the method comprising: receiving a plurality of images, wherein each of the plurality of images includes a portion of an elongated structure; receiving a location of interest within a least one of the plurality of images; determining an orientation of the elongated structure in response to receiving the location of interest; adjusting image planes of each of the plurality of images to correspond with the orientation of the elongated structure; and causing the elongated structure to be displayed in the adjusted image planes.

Abstract: The present invention obtains subband signals by performing a multiresolution decomposition by a wavelet frame with orientation selectivity or a filterbank with orientation selectivity that is a set of an approximate filter with no orientation and a plurality of detail filters with respective orientations on image data, and, when an image is reconstructed by summing the obtained subband signals, generates reconstructed image data that creates a floating illusion by attenuating or amplifying a subband signal corresponding to at least one of detail filters with a predetermined orientation relative to a floating direction, in which an image is desired to be floated due to an illusion, among the detail filters.

Abstract: A tracking apparatus includes an image data acquisition unit, a tracking process unit, a contrast information acquisition unit, a contrast information similarity evaluation unit, and a control unit. The image data acquisition unit acquires image data. The tracking process unit detects a candidate position of a tracking target in image data. The contrast information acquisition unit acquires contrast information at the candidate position. The contrast information similarity evaluation unit evaluates a similarity between contrast information at a position of the tracking target decided in a past frame and current frame. The control unit decides the position of the tracking target in the current frame based on the evaluation of the similarity.

Abstract: System and method are disclosed for creating a photo calendar. A computer storage medium stores images taken in a time period spanning a plurality of capture months. A computer processor automatically divides the images into groups based the capture months, distributes the images in one of the capture month to one or more calendar months according to an adjacency distribution function, and creates a design of a photo calendar comprising a plurality of calendar months and images distributed in the calendar months.