Abstract: Methods, apparatus, and other embodiments associated with distinguishing disease phenotypes using co-occurrence of local anisotropic gradient orientations (CoLIAGe) are described. One example apparatus includes a set of logics that acquires a radiologic image (e.g., MRI image) of a region of tissue demonstrating disease pathology (e.g., cancer), computes a gradient orientation for a pixel in the MRI image, computes a significant orientation for the pixel based on the gradient orientation, constructs a feature vector that captures a discretized entropy distribution for the image based on the significant orientation, and classifies the phenotype of the disease pathology based on the feature vector. Embodiments of example apparatus may generate and display a heatmap of entropy values for the image. Example methods and apparatus may operate substantially in real-time. Example methods and apparatus may operate in two or three dimensions.

Abstract: The medical image measurement device includes a medical image acquisition unit which acquires a first medical image and a second medical image obtained by photographing the same object of interest of the same patient at different time points, a measurement parameter acquisition unit which acquires a first measurement parameter set for measuring the features of the shape of the object of interest in the first medical image and a second measurement parameter set for measuring the features of the shape of the object of interest in the second medical image, an evaluation value acquisition unit which acquires an evaluation value indicating a change between the first measurement parameter and the second measurement parameter, and a determination unit which determines whether or not the change is equal to or greater than a preset amount of change based on the evaluation value.

Abstract: In one embodiment, an image analysis device (65) includes an acquisition unit (66) and an analysis unit (67). The acquisition unit acquires image data of a plurality of images of an imaging region of an object respectively imaged by magnetic resonance imaging before and after administration of contrast medium. The analysis unit calculates an estimated value of concentration of contrast medium per unit volume including air region by using a coefficient based on the image data before administration of contrast medium, in accordance with the image data of a plurality of images and a value related to relaxation rate or relaxation time before and after administration of contrast medium.

Abstract: Disclosed are an apparatus and method for estimating a distance using a dual off-axis color filter aperture (DCA). An object detection unit is configured to detect an object from an image taken by a camera having the DCA equipped with a first filter having a first color and a second filter having a second color complementary to the first color. A color shifting value calculation unit is configured to calculate a color shifting value (CSV) using a color shift property between color channels of the image in a region corresponding to the detected object. A distance estimation unit is configured to estimate a distance from the camera to each point of the object based on the calculated CSV and camera parameters including a focal distance of the camera, a focal plane of the camera, and a position of the aperture.

Abstract: Disclosed are devices, methods and storage media for use in determining position information for imaging devices or mobile devices. In some implementations, a landmark is identified in an image which is obtained from an imaging device which in turn is positioned at a location and in a pose. A virtual two-dimensional image that would be visible from the landmark is determined based, at least in part, on the pose. The location or position information is based, at least in part, on the virtual two-dimensional image.

Abstract: A method of determining an orientation of an object within an image. The method determines the responses of at least two classifiers in at least one region of the image corresponding to the object. The classifiers have been trained to identify a given object in different specific orientations. The orientation of the object is determined as an average of the specific orientations, weighted by the responses of their respective classifiers.

Abstract: A system for recognizing a vehicle identification number includes a three dimensional scanner configured to scan, in a direction in which the vehicle identification number is engraved, a vehicle identification number engraved in a vehicle body to obtain an image. The system further includes an image processor configured to convert the image obtained by the three dimensional scanner into a gray image, divide the gray image according to a gray scale to extract a symbol in the image corresponding to a symbol engraved in the vehicle body, and compare the symbol with standard symbols to determine the vehicle identification number.

Abstract: A structure for determining a plane in a depth image includes dividing a portion of a depth image into a plurality of areas, fitting a two-dimensional line to depth points in each of the plurality of areas, and combining two or more of the plurality of two-dimensional lines to form a three-dimensional plane estimate.

Abstract: A depth map is generated from at least a first and a second image. A plurality of reference pixels are selected in the first image. A cost function is used to associate each reference pixel with a respective pixel in the second image. A masking operation is used to identify a subset of pixels in a block of pixels surrounding a reference pixel and the cost function is based on the identified subset of pixels. A disparity between each reference pixel and the respective pixel in said second image is determined, and a depth value is determined for each reference pixel as a function of the respective disparity. A depth map is generated based on the determined depth values.

Abstract: A method for segmenting a target image includes receiving the target image of an anatomical structure, registering a plurality of atlases to the target image, each of the atlases including an image and a plurality of labels corresponding to portions of the image, selecting a plurality of registered atlases, transferring the labels of selected registered atlases to the target image, combining the labels that are transferred to the target image using a fusion of a discriminative model and a generative model, and outputting a segmentation of the target image isolating the anatomical structure, wherein a segmentation of the target image is displayed.

Abstract: A surgery assistance apparatus includes an organ region extraction unit that extracts a tubular organ region from a three-dimensional image obtained by imaging a tubular organ and a blood vessel dominating the tubular organ, a region-of-interest setting unit that sets a region of interest in the tubular organ region, a blood vessel region extraction unit that extracts a blood vessel region dominating the tubular organ from the three-dimensional image, a branching structure extraction unit that extracts a branching structure of the blood vessel from the blood vessel region, and a dominating blood vessel identification unit that identifies a dominating blood vessel region in the blood vessel region that dominates the region of interest by using a positional relationship between a terminal end point of the extracted branching structure and the set region of interest.

Abstract: Systems and methods for real-time, interactive image analysis are disclosed. An example system includes a computing device configured to: generate a segmentation of the image in real-time based on a position of a movable pointer on the display and update the segmentation based on a change to the position of the pointer on the display; generate a representation of the object based on the segmentation, wherein the representation is simplified from the image of the object and includes an outline of the object based on the generated segmentation including the first center and the first significant axis; calculate measurements for the object based on the segmentation including the first center and the first significant axis; and display the representation and the measurements via the display.

Abstract: Object boundary detection techniques are described. In implementations, edges of an object displayed in an image are detected. The image is used to generate a gradient image and a monochrome image. Directional filters are applied to the monochrome image to generate directionally filtered images, which are then applied the gradient image to identify potential boundary lines of the object displayed in the image. A selection can then be made from the potential boundary lines, based on a score associated with each respective potential boundary line, to select lines to represent the boundaries of the object. The selected lines can be used to segment the image into a plurality of segments, and then, using the average color of each segment, one or more of the selected lines can be invalidated as being a false boundary.

Abstract: Disclosed is a method comprising steps of conducting image preprocessing so as to respectively obtain a candidate object region including a foreground image in a depth map and a color image; determining whether it is necessary to conduct a region growing process with respect to the candidate object region of the depth map; in the former case, conducting the region growing process with respect to the candidate object region of the depth map; and conducting, after the region growing process is conducted with respect to the candidate object region of the depth map, a depth value restoration process with respect to a candidate region.

Abstract: Various aspects of a method and apparatus for video processing may include a computing device communicably coupled to an external device. The computing device may be operable to determine an average vertical velocity and an average horizontal velocity of a subset of pixels in an image frame and determine a depth value for each pixel of the subset of pixels based on calculated motion vectors of the pixel of the subset of pixels, the average vertical velocity of the subset of pixels and the average horizontal velocity of the subset of pixels.

Abstract: What is disclosed is a system and method for compensating for motion during processing of a video of a subject being monitored for physiological function assessment. In one embodiment, image frames are received. Successive batches of N video frames are processed to isolate pixels associated with a body region of the subject where a physiological signal is registered by the camera. The pixels are processed to obtain a time-series signal for each batch. A determination is made whether movement during video acquisition of this batch of image frames exceeds a threshold level. If so then a size N of the next batch of image frames is changed to: N=N+M1, where N+M1?Nmax. Otherwise, a size N of a next batch is changed to: N=N?M2, where N?M2?Nmin. Thereafter, processing repeats in a real-time continuous manner as the next batch of the N image frames is received. Various embodiments are disclosed.

Abstract: This disclosure provides a method and system for automated sequencing of vehicles in side-by-side drive-thru configurations via appearance-based classification. According to an exemplary embodiment, an automated sequencing method includes computer-implemented method of automated sequencing of vehicles in a side-by-side drive-thru, the method comprising: a) an image capturing device capturing video of a merge-point area associated with multiple lanes of traffic merging; b) detecting in the video a vehicle as it traverses the merge-point area; c) classifying the detected vehicle associated with traversing the merge-point area as coming from one of the merging lanes; and d) aggregating vehicle classifications performed in step c) to generate a merge sequence of detected vehicles.

Abstract: Within examples, methods and systems for occlusion-robust object fingerprinting using fusion of multiple sub-region signatures are described. An example method includes receiving an indication of an object within a sequence of video frames, selecting from the sequence of video frames a reference image frame indicative of the object and candidate image frames representative of possible portions of the object, dividing the reference image frame and the candidate image frames into multiple cells, defining for the reference image frame and the candidate image frames sub-regions of the multiple cells such that the sub-regions include the same cells for overlapping representations and the sub-regions include multiple sizes, comparing characteristics of sub-regions of the reference image frame to characteristics of sub-regions of the candidate image frames and determining similarity measurements, and based on the similarity measurements, tracking the object within the sequence of video frames.

Abstract: A method of generating a super-resolution image from a single frame of image data includes using a processor to retrieve query patches of image data from a memory, determining a search range for each patch, and generating super-resolution image data corresponding to each patch based upon the search range.

Abstract: A processor generates a first road surface image from an image at a first time captured by an imaging device mounted on a moving body, and generates a second road surface image from an image at a second time after the first time. Next, the processor determines direction information depending on a direction of travel of the moving body between the first time and the second time from an amount of turn of the moving body between the first time and the second time. Then, the processor determines a relative positional relationship between the first road surface image and the second road surface image by using the amount of turn and the direction information, and determines an amount of travel of the moving body between the first time and the second time on the basis of the relative positional relationship.

Abstract: The invention relates to a method for navigation of an aerial vehicle. The method comprises providing a sensor image from an aerial vehicle sensor. The method also comprises to repeatedly, until at least one predetermined criterion is reached, perform the step of setting input data, where the input data comprises information related to pitch angle, roll angle, yaw angle and three-dimensional position of the aerial vehicle, the step of providing a two-dimensional image from a database based on the input data, where the database comprises three-dimensional geo-referenced information of the environment, and the step of comparing the sensor image and the two dimensional image from the database. The method further comprises using the input data for which the two images correspond best to each other for determining at least one of the following quantities pitch angle, roll angle, yaw angle and three-dimensional position of the aerial vehicle.

Abstract: The present document describes a method and system for expediting bilinear filtering of textures, by reducing the number of data load operations. The method expands the original data layout with additional borders containing replicated texels. The replicated texels correspond either to wrapped-around texels for two-dimensional textures or neighboring faces in cube textures. Therefore, a 2×2 filter kernel for bilinear filtering is built which requires only one texel address to be computed, with all texel data readable with two load operations which are a predetermined stride apart. Different addressing modes are implemented by adjusting the sampling locus.

Abstract: An interactive image analysis system includes an image visualization subsystem (1) for visualizing an image (8). An indicated position determiner (2) is arranged for determining an indicated position of a pointing device with respect to the image(8). A result determiner (3) is arranged for determining a result of a local image processing of the image (8) at the indicated position. A display subsystem (4) displays either at least part of the result of the local image processing (406) or a visible mark (407), based on the image processing result. The result of the local image processing is indicative of the presence or absence of an object (403) at or near the indicated position (404, 405), and the display subsystem (4) is arranged for displaying the visible mark (407) in the absence of such an object (403) at or near the indicated position (405).

Abstract: A video frame compression system includes a rendering engine that provides a current video frame and current additional rendering information. Additionally, the video frame compression system includes a warping engine that generates a warped video frame, wherein the warped video frame is a transformation of a previous video frame that is based on the current additional rendering information. Further, the video frame compression system includes a video encoder that compresses the current video frame by using the warped video frame as a reference frame and separately compresses the current additional rendering information. Still further, the video frame compression system includes a packetizer that provides main and auxiliary data streams corresponding to the compressed current video frame and the compressed current additional rendering information, respectively. A video frame decompression system and methods of video frame compression and decompression are also provided.

Abstract: A method is provided for applying a visual classification scheme to a map. A target region comprising a plurality of display units is identified within the map. It is then determined whether all of the display units within the target region can be assigned to the same class based on interpolated data values obtained for only a subset of the display units within the target region. If the determination is positive, then all of the display units within the target region are assigned to the same class and a visual indicator is assigned to each display unit in the target region based on the class to which the display unit was assigned. If the determination is negative, then the target region is divided into a plurality of subdivided target regions and the foregoing method is applied to each of the subdivided target regions.

Abstract: A method and a computer system for performing a computer simulation in which virtual contaminants are rendered on a rendered scene of the computer simulation. A memory module is sued for loading thereinto a model defining a virtual environment of the computer simulation, the virtual environment defining a plurality of zones comprising a first additive zone and a second subtractive zone, the second subtractive zone being at least partially enclosed within the first additive zone. An image generator module is used for adding a virtual contaminant over the first additive zone, removing, at least partially, the virtual contaminant within the second subtractive zone leaving a remaining virtual contaminant in the first additive zone and rendering an image for display comprising the remaining virtual contaminant in the virtual environment using a visual texture of the virtual contaminant. The computer simulation may be a vehicle computer simulation.

Abstract: An image processing apparatus is provided which offers higher versatility than conventional image processing apparatuses. When an input signal to a spatial filtering block is a monochrome signal that contains Y component only, a selector selects its input terminal and a selector selects its input terminal. Then, a low-pass filter output signal of a programmable spatial filter is inputted to a spatial filter, and a low-pass filter output signal of the spatial filer is inputted to a spatial filter. That is, the programmable spatial filter and the spatial filters are connected in series (in cascade), and the cascade-connected three spatial filters perform filtering operation. In this example, low-pass filters with 5H5 taps are connected in cascade in three stages, which enables low-pass filtering with 13H13 taps.

Abstract: A method for controlling a camera for color calibration of multi-displays including: acquiring a first image of data displayed on the multi-displays by photographing the multi-displays with the camera; analyzing color of the data displayed on at least one individual display from among the multi-displays using the acquired first image; determining image capture settings suitable for the color calibration of the multi-displays, based on a result of the analyzing; adjusting the image capture settings of the camera in accordance with the determined image capture settings; acquiring a second image of the data displayed on the multi-displays by photographing the multi-displays with the camera using the adjusted image capture settings of the camera; and performing color calibration of the multi-displays based on the second image.

Abstract: A method and system for determining a position of a source including obtaining prompt data and related delayed data from a Positron Emission Tomography (PET) scanner, generating a sinogram from the prompt data, generating crystal efficiency correction factors by performing a normalization calibration based on the obtained delayed data, performing normalization correction on the generated sinogram based on the crystal efficiency correction factors to generate a corrected sinogram, rebinning the corrected sinogram to generate a plurality of two-dimensional sinogram slices, and determining a central axis for each of the plurality of two-dimensional sinogram slices using a center estimation process.

Abstract: A method is provided including acquiring imaging data of an object to be imaged from a computed tomography (CT) detector. The method also includes reconstructing the acquired imaging data into an initial reconstruction image, and performing material characterization of an image volume of the initial reconstruction image to provide a re-mapped image volume. Further, the method includes performing forward projection on the re-mapped image volume to provide forward projection data, and providing an error projection based on the forward projection data. Also, the method includes filtering at least one of the initial reconstruction image, the re-mapped image volume, the forward projection data, or the error projection. The method also includes using the error projection to update the initial reconstruction image to provide an updated reconstruction image.

Abstract: A method for displaying and manipulating genealogical data using a full family graph. The genealogical data is obtained from external sources and is stored in a full family graph database. A unique identifier is assigned to each individual and family grouping. The full family graph is built up based on the direct bloodline of the male member of each family block. In addition, the bloodline of family blocks initiated from the wife's parents and the bloodline of family blocks initiated from the daughter's family block with her husband are also added to achieve a complete full family graph. In each bloodline, the family blocks are organized in a pre-determined order based on the genealogical relationships of the male member of each family block. Moreover, a few functions such as search, zoom and navigator are provided to the full family graph.

Abstract: A computer-implemented method to display a rendered image is described. A base image is obtained. A rendered image is obtained. The rendered image is matched to a location on the base image. The rendered image is overlaid onto the base image at the location to generate a set of layered images. The set of layered images is displayed.

Abstract: A system and method for facilitating control of virtual space entities based on user geolocations is disclosed. In such a system and method, one or more real-world spatial displacement requirements may be associated with corresponding virtual space maneuvers to connect user movements in real world locations with the virtual space. User performance of real-world spatial displacements may be obtained and compared with real-world spatial displacement requirements of interest. Virtual space maneuvers may be executed in the virtual space based on requesting user performance of real-world spatial displacements as required. Rewards, bonuses, virtual space enhancements and/or other incentives may be provided to the users based on qualities of their performance of real-world spatial displacement as required.

Abstract: A digital magazine server presents content retrieved from various sources to a user. The content may include various images, with images selected by the digital magazine server for presentation to a user along with additional content. Text associated with an image may also be retrieved and presented to the user along with the image. To improve presentation of images with text, the digital magazine server identifies features in an image and identifies regions of the image where text is capable of being presented without obscuring or being obscured by features of the image. The image is modified to present text associated with the image in one or more of the identified images, allowing the text to be presented without detracting from features of the image.

Abstract: A display controller comprising a blending stage and a blending controller. The blending stage is provided for blending multiple image layers into one display output image and comprises a plurality of input channels for receiving pixel data for the multiple image layers. The blending stage further comprises multiple blenders for combining the pixel data received by at least two input channels of the plurality of input channels. The blending controller is coupled to the blending stage for controlling operation of the blending stage. The blending stage further comprises a controllable switch for coupling an output of at least one blender of the multiple blenders to a display output of the blending stage for regular on-the-fly blending or to an offline blending memory for storing a result of an offline blending task.

Abstract: There is provided a display control device including an operation detection unit configured to detect an enlargement operation on any image displayed within a display screen among a plurality of images having a predetermined relation, and a display control unit configured to determine a display area of the image based on the detected enlargement operation and to cause a portion corresponding to the display area to be enlarged and displayed for each of the images displayed within the display screen.

Abstract: A computer receives user preferences. The computer receives a document, wherein the document includes an image. The computer determines that the image contains embedded text. The computer determines that the embedded text does not satisfy the received user preferences. The computer modifies the embedded text to satisfy user preferences.

Abstract: Avatars are used to graphically represent users in a communications session, and the avatars are capable of being animated. An indication of an animation of one of the avatars is received. Another avatar that represents another of the users is animated in response to, and based on, the animation of the avatar in the same communications session.

Abstract: Provided is a method and apparatus of extracting a 3D facial expression of a user. When a facial image of the user is received, the 3D facial expression extracting method and apparatus may generate 3D expression information by tracking an expression of the user from the facial image using at least one of shape-based tracking and texture-based tracking, may generate a 3D expression model based on the 3D expression information, and reconstruct the 3D expression model to have a natural facial expression by adding muscle control points to the 3D expression model.

Abstract: This disclosure describes techniques for using bounding regions to perform tile-based rendering with a graphics processing unit (GPU) that supports an on-chip, tessellation-enabled graphics rendering pipeline. Instead of generating binning data based on rasterized versions of the actual primitives to be rendered, the techniques of this disclosure may generate binning data based on a bounding region that encompasses one or more of the primitives to be rendered. Moreover, the binning data may be generated based on data that is generated by at least one tessellation processing stage of an on-chip, tessellation-enabled graphics rendering pipeline that is implemented by the GPU. The techniques of this disclosure may, in some examples, be used to improve the performance of an on-chip, tessellation-enabled GPU when performing tile-based rendering without sacrificing the quality of the resulting rendered image.

Abstract: A graphics processing unit (GPU) comprises a memory, and at least one processor configured to: receive a primitive type buffer comprising a plurality of primitive type entries, wherein each of a plurality of vertices of a vertex buffer of the GPU are associated with one or more of the plurality of primitive type entries, determine primitives based on the plurality of vertices and the associated one or more primitive type entries, and rendering, by the GPU, the primitives based on the plurality of vertices and the associated one or more primitive type entries of the primitive type buffer.

Abstract: A terrain mapping system is disclosed for use with an excavation machine at a worksite. The terrain mapping system may have a locating device mountable onboard the excavation machine and configured to generate a first signal indicative of a position of the excavation machine at the worksite, and a sensor configured to generate a second signal indicative of a load on the excavation machine. The terrain mapping system may also have a controller in communication with the locating device and the sensor. The controller may be configured to update a surface contour of the worksite contained in an electronic map based on the first signal as the excavation machine traverses the worksite, and to determine an amount of material moved by the excavation machine based on the second signal. The controller may also be configured to generate a representation of the material moved by the excavation machine in the electronic map when the excavation machine ceases to move the material.

Abstract: Scene model data, including a scene geometry model and a plurality of pixel data describing objects arranged in a scene, is received. A primary pixel color and a primary ray are generated based on a selected first pixel data. If the primary ray intersects an object in the scene, an intersection point is determined. A surface normal is determined based on the object intersected and the intersection point. The primary pixel color is modified based on a primary hit color, determined based on the intersection point. A plurality of ambient occlusion (AO) rays each having a direction, D, are generated based on the intersection point, P and the surface normal. Each AO ray direction is reversed and the AO ray origin is set to a point outside the scene. An AO ray that does not intersect an object before reaching the intersection point is included in ambient occlusion calculations.

Abstract: Aspects comprise a ray shooting method based on the data structure of a uniform grid of cells, and on local stencils in cells. The high traversal and construction costs of accelerating structures are cut down. The object's visibility from the viewpoint and from light sources, as well as the primary workload and its distribution among cells, are gained in the preprocessing stage and cached in stencils for runtime use. In runtime, the use of stencils allows a complete locality at each cell, for load balanced parallel processing.

Abstract: The present invention is an OCT imaging system user interface for efficiently providing relevant image displays to the user. These displays are used during image acquisition to align patients and verify acquisition image quality. During image analysis, these displays indicate positional relationships between displayed data images, automatically display suspicious analysis, automatically display diagnostic data, simultaneously display similar data from multiple visits, improve access to archived data, and provide other improvements for efficient data presentation of relevant information.

Abstract: A system for performing object identification combines pose determination, EO/IR sensor data, and novel computer graphics rendering techniques. A first module extracts the orientation and distance of a target in a truth chip given that the target type is known. A second is a module identifies the vehicle within a truth chip given the known distance and elevation angle from camera to target. Image matching is based on synthetic image and truth chip image comparison, where the synthetic image is rotated and moved through a 3-Dimensional space. To limit the search space, it is assumed that the object is positioned on relatively flat ground and that the camera roll angle stays near zero. This leaves three dimensions of motion (distance, heading, and pitch angle) to define the space in which the synthetic target is moved. A graphical user interface (GUI) front end allows the user to manually adjust the orientation of the target within the synthetic images.

Abstract: Rendering graphical objects to a display of a mobile client computing device by obtaining virtual object information, obtaining normal components of the virtual object, encoding an image file that describes the normal components of the virtual object, wherein encoding the image file includes encoding dimensional parameters of the normal components into color parameters held by the image file for individual image pixels so that the color information held by the image file describes the surfaces of the virtual object, determining a likely viewing angle of a user associated with the mobile client computing device, and modulating the color parameters in the image file describing the surfaces of the virtual object in response to an indication of a change of the orientation of the mobile client computing device.

Abstract: Real-time light field reconstruction for defocus blur may be used to handle the case of simultaneous defocus and motion blur. By carefully introducing a few approximations, a very efficient sheared reconstruction filter is derived, which produces high quality images even for a very low number of input samples in some embodiments. The algorithm may be temporally robust, and is about two orders of magnitude faster than previous work, making it suitable for both real-time rendering and as a post-processing pass for high quality rendering in some embodiments.

Abstract: Disclosed are an apparatus and method for storing and displaying images in a picture archiving and communication system (PACS). The apparatus, comprising: a processor configured to: generate a two-dimensional (2D) medical image for a three-dimensional (3D) medical image at each of reference points of a predetermined (3D) screen model; and store the generated (2D) medical image along with attribute information related to the generation of the (2D) medical image to a storage device or a memory.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer-program products, and computer systems, for providing 360-degree well core sample photo image integration, calibration, and interpretation for modeling of reservoir formations and lithofacies distribution. One computer-implemented method includes receiving a 360-degree well core sample photo image, geospatially anchoring, by a computer, the received 360-degree well core sample photo image, decomposing, by a computer, the geospatially-anchored 360-degree well core sample photo image into a color numerical array, transforming, by a computer, the color numerical array into a formation image log, calibrating, by a computer, the formation image log for consistency with additionally available data, and generating, by a computer, 3D lithofacies interpretation and prediction data using the formation image log.