Abstract: A system to treat a patient comprises a user interface that allows a physician to view an image of tissue to be treated in order to develop a treatment plan to resect tissue with a predefined removal profile. The image may comprise a plurality of images, and the planned treatment is shown on the images. The treatment probe may comprise an anchor, and the image shown on the screen may have a reference image marker shown on the screen corresponding to the anchor. The planned tissue removal profile can be displayed and scaled to the image of the target tissue of an organ such as the prostate, and the physician can adjust the treatment profile based on the scaled images to provide a treatment profile in three dimensions. The images shown on the display may comprise segmented images of the patient with treatment plan overlaid on the images.

Abstract: A system and method for reviewing a tomosynthesis image data set comprising volumetric image data of a breast, the method comprising, in one embodiment, causing an image or a series of images from the data set to be displayed on a display monitor and selecting or indicating through a user interface an object or region of interest in a presently displayed image of the data set, thereby causing an image from the data set having a best focus measure of the user selected or indicated object or region of interest to be automatically displayed on the display monitor.

Abstract: Systems and methods for updating an enrollment template having a plurality of enrollment views of a biometric input object. A determination is made as to whether a new input biometric view is a candidate view for template update based on a match criterion, and a determination is made as to whether the new input biometric view increases coverage of the biometric input object by the enrollment template. The new input biometric view is added to the enrollment template as a new enrollment view in response to determining that the new biometric view i) is a candidate view for template update, and ii) increases coverage of the biometric input object by the enrollment template.

Abstract: The present invention provides an image processing method, an image processing device, and an image processing program which require low computing costs and with which it is possible to minimize noise amplification and halo generation caused by HDR. An image processing device according to one embodiment of the present invention has: a multi-resolution image generation means for generating a multi-resolution image; a correction amount calculation means for calculating a brightness correction amount on the basis of a lowest-resolution image of the multi-resolution image, a differential image between adjacent resolutions of the multi-resolution image, and edge information calculated at each resolution of the multi-resolution image; and a noise suppression means for calculating, on the basis of the lowest-resolution image, the differential image between adjacent resolutions, the edge information, and the brightness correction amount, an image after brightness correction in which a noise component is suppressed.

Abstract: The invention relates to a method for detecting a parking area, in particular for a motor vehicle, having an image capturing device which generates image data of a surrounding area, which image data are evaluated in order to detect a parking area, wherein at least one marker or a plurality of markers of a parking area is or are detected by means of the image data and is or are evaluated and assigned to a parking area which is defined by the at least one marker, wherein, when a parking area is detected, an adjacent area expectation is determined which constitutes a hypothesis that the area adjacent to the detected parking area could also be a parking area, and that the hypothesis is taken into account during the detection of an adjacent parking area.

Abstract: A face verifying method and apparatus. The face verifying method includes detecting a face region from an input image, generating a synthesized face image by combining image information of the face region and reference image information, based on a determined masking region, extracting one or more face features from the face region and the synthesized face image, performing a verification operation with respect to the one or more face features and predetermined registration information, and indicating whether verification of the input image is successful based on a result of the performed verification operation.

Abstract: Methods and systems are provided for defining and determining a formal and verifiable mobile document image quality and usability (MDIQU) standard, or Standard for short. The Standard ensures that a mobile image can be used in an appropriate mobile document processing application, for example an application for mobile check deposit. In order to quantify the usability, the Standard establishes 5 quality and usability grades. A mobile image capture device can capture images. A mobile device can receive information associated with one or more image quality assurance (IQA) criteria; evaluating the images to select an image satisfying an image quality criteria based on the received information; and in response to the image satisfying the image quality score, sending the selected image to determine a set of image quality assurance (IQA) scores.

Abstract: Provided is a method of providing an augmented reality interaction service, the method including: generating reference coordinates based on a 3-dimensional (3D) image including depth information obtained through a camera; segmenting a region corresponding to a pre-set object from the 3D image including the depth information obtained through the camera, based on depth information of the pre-set object and color space conversion; segmenting a sub-object having a motion component from the pre-set object in the segmented region, and detecting a feature point by modeling the sub-object and a palm region linked to the sub-object based on a pre-set algorithm; and controlling a 3D object for use of an augmented reality service by estimating a posture of the sub-object based on joint information of the pre-set object provided through a certain user interface (UI).

Abstract: The marker has thereon one three-dimensional indicator 3. Based on the location and height of the three-dimensional indicator 3 relative to the plane indicator 2 as well as the estimated position of the camera relative to the marker, the center positions of the upper face and the lower face of the three-dimensional indicator 3 on the image of the camera are estimated. The estimated center position of the upper face of the three-dimensional indicator 3 is compared with that detected from the image. When the error between them has a value equal to or higher than a predetermined value, based on the posture estimated, a rotational transformation is carried out.

Abstract: In an approach to managing images and captions, one or more computer processors receive one or more captured images of including one or more subjects. The one or more computer processors identify the one or more subjects from the first image. The one or more computer processors identify the context of the first image of the one or more captured images containing the one or more subjects. The one or more computer processors analyze one or more social networking histories and relationships associated with the one or more subjects using recognition techniques. The one or more computer processors create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects.

Abstract: The present invention provides a method for video matting via sparse and low-rank representation, which firstly selects frames which represent video characteristics in input video as keyframes, then trains a dictionary according to known pixels in the keyframes, next obtains a reconstruction coefficient satisfying the restriction of low-rank, sparse and non-negative according to the dictionary, and sets the non-local relationship matrix between each pixel in the input video according to the reconstruction coefficient, meanwhile sets the Laplace matrix between multiple frames, obtains a video alpha matte of the input video, according to ? values of the known pixels of the input video and ? values of sample points in the dictionary, the non-local relationship matrix and the Laplace matrix; and finally extracts a foreground object in the input video according to the video alpha matte, therefore improving quality of the extracted foreground object.

Abstract: An X-ray computed tomography (CT) apparatus includes a detector, and processing circuitry. The detector is configured to output, at each incidence of an X-ray photon, a signal enabling measurement of an energy value of the X-ray photon. Processing circuitry is configured to estimate an energy range to be used for imaging based on an imaging condition and to reconstruct X-ray CT image data using counting information to which an energy value within the energy range is associated among pieces of counting information that are collected from individual signals output by the detector at each incidence of an X-ray photon that has been irradiated from an X-ray tube and has passed through a subject, and in which a counting value and an energy value of X-ray photons incident to the detector are associated with each other.

Abstract: The technology relates to advanced image signal processing.

Abstract: Systems, methods, and computer readable media to categorize a pixel (or other element) in an image into one of a number of different categories are described. In general, techniques are disclosed for using properties (e.g., statistics) of the regions being categorized to determine the appropriate size of window around a target pixel (element) and, when necessary, the manner in which the window may be changed if the current size is inappropriate. More particularly, adaptive window size selection techniques are disclosed for use when categorizing an image's pixels into one of two categories (e.g., black or white). Statistics of the selected region may be cascaded to determine whether the current evaluation window is acceptable and, if it is not, an appropriate factor by which to change the currently selected window's size.

Abstract: A method for measuring the position of a mobile structure in a set of reference axes, the structure comprising a plurality of intrinsic recurrent structural elements, comprising the following steps undertaken by a processor. Acquiring simultaneous images of the structure from a plurality of optical devices, each recurrent element being in a field of view of at least three separate optical devices. Extracting the recurrent elements from each image and determining their position in the image. Computing at least one indicator for each recurrent element detected in each image. Identifying each recurrent element by associating a unique identifier with each element, the identifier being related to the position of each optical device in the set of reference axes, and to at least one indicator associated with each element in each image. Determining the position, by implementing a photogrammetric algorithm, of each recurrent element in the set of reference axes.

Abstract: Context-based provision of screenshot modification is provided herein. A screenshot image is obtained and analyzed to determine an acquisition context of the screenshot image, the acquisition context being a context in which the screenshot image was acquired. A display context in which the screenshot image is to be displayed is determined, and the screenshot image is prepared for display in the display context, the preparing including applying one or more modifications to one or more visual elements of the screenshot image based on the acquisition context and on the display context.

Abstract: Computer-implemented methods and apparati for graphically displaying deformations, said deformations defined by comparing a first image of an object (1) with a second image of the same or a different object (1). A method embodiment of the present invention comprises the steps of scanning an object (1) twice to produce first and second images; tabulating deformations and converting said tabulated deformations into a scalar property over a preselected range; quantizing the range into a set of discrete quantization intervals; assigning a unique color out of a discrete or quasi-continuous set of colors to each quantization interval to produce a color overlay; and simultaneously displaying the color overlay and a representation of at least one of the first and second images, whereby said deformations are readily viewable in color.

Abstract: A capacitive fingerprint sensing device and method therein for noise detection are disclosed. The capacitive fingerprint sensing device comprises a plurality of sensing elements, each comprising a sensing structure and configured to sense a capacitive coupling between the sensing structure and a finger. The fingerprint sensing device further comprises sensing circuitry and timing circuitry configured to control a timing of a drive signal. The fingerprint sensing device is controllable to operate in a noise-detection mode and in a fingerprint mode. In the noise-detection mode, the fingerprint sensing device is configured to control the timing circuitry such that no drive signal is provided. The fingerprint sensing device senses a capacitive coupling between the finger and at least one sensing structure and provides a sensing signal indicative of the capacitive coupling between the finger and the sensing structures by means of said sensing circuitry.

Abstract: An image processing device includes a processor to detect motion of objects in an observation area on the basis of a captured image. The processor also calculates amounts of each detected motion, and calculates a propagation speed, a propagation direction, or both, of the motion for pulsations of the objects.

Abstract: Disclosed is a technique capable of efficiently storing and retaining characteristic data (a restoration filter or the like) of an optical system used for a restoration process in a storage unit with limited storage capacity in consideration of the degree of image restoration. An image processing device includes a characteristic data storage unit 42 which is capable of storing characteristic data of a plurality of types of optical systems, and a restoration processing unit which subjects source image data to a restoration process using a restoration filter based on a point spread function of an optical system to acquire recovered image data. In case where storing new characteristic data in the characteristic data storage unit, characteristic data which is stored in the characteristic data storage unit 42 is controlled based on a restoration evaluation value which is allocated to characteristic data according to the type of optical system.