Abstract: For partial volume correction, the partial volume effect is simulated using patient-specific segmentation. An organ or other object of the patient is segmented using anatomical imaging. For simulation, the locations of the patient-specific object or objects are sub-divided, creating artificial boundaries in the object. A test activity is assigned to each sub-division and forward projected. The difference of the forward projected activity to the test activity provides a location-by-location partial volume correction map. This correction map is used in reconstruction from the measured emissions, resulting in more accurate activity estimation with less partial volume effect.

Abstract: A depth map generation device for merging multiple depth maps includes two image capturers, a depth map generator, and a mixer. The two image capturers are used for generating two first images. The depth map generator is coupled to the two image capturers, wherein the depth map generator generates a first depth map and a second depth map according to the two first images. The mixer is coupled to the depth map generator for merging the first depth map and the second depth map to generate a final depth map, wherein the first depth map and the second depth map have different characteristics.

Abstract: A data acquiring apparatus includes: an acquirer that acquires feature data, as registration data, from an image including an object to be registered, the feature data representing a feature that is distributed in a region of a predetermined size determined based on a position defined by an external shape of the object and a position of printing information that has been printed on the object; and a memory that stores the registration data acquired by the acquirer as data for determining identity of the object.

Abstract: The invention provides a non-negative matrix factorization face recognition method and system based on kernel machine learning, which comprises five steps. The invention has the following beneficial effects: the invention avoids the learning of the inaccurate pre-image matrix by directly learning two kernel matrices, Kwx and Kww, and avoids the derivation of the kernel function in the iterative formula by changing the learning object, so that there is no limit to the selection of kernel function and a general algorithm for any kernel function is obtained.

Abstract: Methods and systems for identifying optimized ablation targets for treating and preventing arrhythmias sustained by reentrant circuits are described. The methods comprise receiving at least one mesh generated from one or more images of a patient's heart, receiving activation data generated from one or more simulations of electrical-signal propagation over the at least one mesh, generating at least one flow graph based on the activation data and the at least one mesh, and applying a max-flow min-cut algorithm to the at least one flow graph to determine at least one of a number, one or more dimensions, and one or more locations of one or more ablation targets. Non-transitory computer-readable media storing a set of instructions for treating and preventing arrhythmias sustained by reentrant circuits are also described.

Abstract: A standard view which satisfies recommendations defined in a guideline on acquisition of standard views is extracted at a time of using information about defined landmarks and a defined landmark geometry in the three-dimensional information. When 3D volume data on a subject is input (S301), an image processing apparatus extracts a landmark geometry including landmarks contained in the 3D volume data on the basis of a position relationship among the landmarks (S302), determines a standard view of the 3D volume data using the landmark geometry and a position relationship that satisfies recommendations in a guideline on the acquisition of the standard views (S303), and outputs the obtained standard view (S304) to display the standard view on a display.

Abstract: A monitoring server includes a communication unit (11) that receives image data transmitted periodically from a robot (20), information on communication quality of a communication network between the monitoring server and the robot (20), and load information of the robot (20), and a distributed-processing control unit (12) that determines, based on at least one of tracking-operation-environment information of the tracking target (30) determined based on the image data, the information on the communication quality, and the load information, a process to be performed in the robot (20), and the process to be performed in the monitoring server itself from among an image analysis process including a plurality of processes, the image analysis process being a process of specifying the tracking target (30), in which the communication unit (11) transmits information on the process to be performed in the robot (20) to the robot (20).

Abstract: In order to suitably perform image processing on each partial area of an input image, an image processing apparatus divides an input image into a plurality of rectangular images, and performs image processing for each rectangular image. The apparatus stores intermediate information corresponding to each pixel in a rectangular image; performs image processing on pixel data of a rectangular image of interest based on the intermediate information, and generates intermediate information to be used in image processing on pixel data subsequent to the rectangular image of interest; and updates the intermediate information with the generated intermediate information. The apparatus updates the intermediate information based on given update period information that indicates an intermediate information update period.

Abstract: Apparatus and methods are provided herein for providing treatment plan in which a position of a heat source and a treatment order are optimized. An example treatment support apparatus includes a processor and a storage device connected to the processor. The storage device hold image information of tissue in a living body of a treatment target. The processor may extract a blood vessel structure of the inside of the living body from the image information, calculate positions of one or more heat sources for thermal treatment on a treatment scheduled region including at least a part of the extracted blood vessel structure on the basis of the extracted blood vessel structure, and output data for displaying an image including the calculated positions of the one or more heat sources.

Abstract: This disclosure describes systems and techniques for generating a disparity map having reduced over-smoothing. To achieve the reduction in over-smoothing that might otherwise occur, a third image is captured in addition to stereo reference and search images. Information from the third image, which may be of the same or different type as the stereo images (e.g., RGB, grey-scale, infra-red (IR)) and which may have the same or different resolution as the stereo images, can help better define the object edges.

Abstract: A system and method for extracting uncoupled information from a user interface output that includes collecting image data; processing the image data associated with the device interface source; and exposing the result to the extracted interface representation.

Abstract: A method of providing a descriptor for at least one feature of an image comprises the steps of providing an image captured by a capturing device and extracting at least one feature from the image, and assigning a descriptor to the at least one feature, the descriptor depending on at least one parameter which is indicative of an orientation, wherein the at least one parameter is determined from the orientation of the capturing device measured by a tracking system. The invention also relates to a method of matching features of two or more images.

Abstract: A first classification unit outputs a plurality of evaluation values indicating the possibility of being each of a plurality of types of case regions for each pixel of a three-dimensional image. Based on selected conversion definition information, a second classification unit converts a first classification result for each pixel of the three-dimensional image based on the plurality of evaluation values, and outputs a second classification result for each pixel of the three-dimensional image.

Abstract: A fluid management system includes an authentication device and a fluid dispensing meter, and the fluid dispensing meter includes a processor and a memory. The authentication device is configured to provide user-identification data to the processor. The processor is configured to recall approved user identities from the memory, to compare the approved user identities to the user-identification data received from the authenticator, and to control a trigger control mechanism between the activated state and the deactivated state based on the comparison of the user-identification data and the approved user identities.

Abstract: Various methods for reducing artifacts in OCT images of an eye are described. In one exemplary method, three dimensional OCT image data of the eye is collected. Motion contrast information is calculated in the OCT image data. A first image and a second image are created from the motion contrast information. The first and the second images depict vasculature information regarding one or more upper portions and one or more deeper portions, respectively. The second image contains artifacts. Using an inverse calculation, a third image is determined that can be mixed with the first image to generate the second image. The third image depicts vasculature regarding the same one or more deeper portions as the second image but has reduced artifacts. A depth dependent correction method is also described that can be used in combination with the inverse problem based method to further reduce artifacts in OCT angiography images.

Abstract: An information handling system includes a RGB digital camera and a secondary digital camera that can be any type of two-dimensional or three-dimensional digital camera known in the art and a processor. The processor executes code instructions of a gross-level input detection system to detect objects in images taken contemporaneously by the RGB digital camera and the secondary digital camera using object detection techniques, and to calculate the positions of regions of interest within those objects. Further, the processor executes code instructions to detect the orientation of regions of interest within identified objects, and to associate those orientations, changes in orientations, or movement of regions of interest with user commands.

Abstract: A system and method for visually automated interface integration that includes collecting image data; detecting a device interface source in the image data; processing the image data associated with the device interface source into an extracted interface representation; and exposing at least one access interface to the extracted interface representation.

Abstract: A low-power face identification method includes detecting an object image, extracting two-dimensional image information of the object image, and when the two-dimensional image information is undetected as a face feature, disabling all related components for inhibiting a three-dimensional face recognition function.

Abstract: Image data comprising an image of an environment is received from a mobile video device located at the environment. An image of a marker is extracted from the received image for use in identifying the location of the mobile video device. A location associated with the marker is extracted from a database and the extracted location is sent as the location of the mobile video device. Also received is a request for information about an item in the environment that is of interest to a user of the mobile video device. A location in the environment associated with the item of interest is identified, and the information indicating the location of the item is transmitted to the mobile device for display within an image of the environment on the mobile video device. The item of interest may be displayed as an augmented reality within an image of the environment.

Abstract: Methods and systems are disclosed that provide nuisance reduction in images, such as semiconductor images that include one or more metal lines. A potential defect is correlated against pixel grey level intensity charts for two perpendicular axes. A position of the potential defect relative to a pattern, such as a metal line, is determined along the two axes. The potential defect can be classified as a defect of interest or nuisance event.