Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: An image forming apparatus prints images of different document sizes on paper having a predetermined paper size. The image forming apparatus includes a computation processing part to compute a print position of the image with respect to the paper, based on the document size, the paper size and moving amount computation information that is input thereto, and a print processing part to arrange and print the image on the paper, based on the print position computed by the computation processing part.

Abstract: An image search method may include: determining a quadrant of a predicted motion vector; calculating a tilt value of a first reference frame and a tilt value of a second reference frame using the predicted motion vector; deciding a search area for uneven hexagon search in response to the quadrant of the predicted motion vector and the calculated tilt values; performing the uneven hexagon search with respect to the decided search area; and/or comparing a result of the performed uneven hexagon search with a threshold value to determine termination of the uneven hexagon search. The second reference frame is earlier-in-time relative to the first reference frame.

Abstract: Embodiments of this invention relate to matching object images, such as face images. In an embodiment, a method matches object images from a set of object images to a root object image. A set of object image lists ordered according to the relative similarity of the object images is received. Each face in the set of object images is at the origin of one of the object image lists. On a computing device, at least one element from each of the object image lists is applied to an object extraction data structure. Also on a computing device, a range of object images in the object image list is determined according to elements flagged within the object extraction data structure having a particular pattern. The range of object images matches the root object image.

Abstract: A method of embedding information in an input image, wherein the information includes a plurality of characters, includes: utilizing a processing circuit to receive the information and convert each character included in the information into a corresponding symbol according to a conversion look-up table; setting a position of the corresponding symbol of each character in a data block according to a sequence look-up table to generate the data block; and adding at least the data block to the input image.

Abstract: A plurality of other contents are placed in one content placement region so that a priority content to which a priority attribute is set is displayed larger than the other contents to which the priority attribute is not set.

Abstract: What is disclosed is a novel system and method for calculating an amount of a total dilation for reverse objects in order to compensate for fill-in effects to improve quality of a digital image in a digital document reproduction system. In a manner more fully described herein, a tone-dependent compensation factor is determined which is a function of a gamma-corrected background density. The tone-dependent compensation factor is then used to scale the maximum base dilation to produce an amount of total dilation. The total dilation amount is applied to contone pixels along an edge of the reverse object to compensate for fill-in artifact effects. By adjusting pixels along the edges of reverse objects by the total dilation determined hereby, the sharpness (or crispness) of reverse fine features is improved on sweeps and for hue shifts at the edges of the reverse objects on backgrounds of more than one color separation.

Abstract: An image cropping process of a multifunction peripheral is provided. Firstly, a top edge endpoint of an object image is searched from a band image of an original image. Then, each band image of the original image is read to search the object endpoint coordinate of a to-be-printed object image zone. The object image zone is outputted to be printed. The image cropping process further provides a strategy for detecting spots in order to enhance the accuracy of searching the object image.

Abstract: An image processing apparatus includes a receiving unit, an image-element group determining unit and a shape changing unit. The receiving unit receives (i) a command to form a blank space and (ii) information specifying a position where the blank space is to be formed in a drawing space for displaying a drawn image. The image-element group determining unit determines, as an image-element group, image elements having a predetermined relation with each other and being drawn in the drawing space. The shape changing unit performs a shape changing process collectively for the image elements of image-element group.

Abstract: A method for collecting data for geometric modeling of a physical object which includes: providing a first housing; providing an aperture in the first housing; providing a source of light within the housing that is strong enough to be perceptible in the ambient conditions at the aperture; providing a video recorder in a second housing; providing a rigid follower dimensioned and configured for following the surface of the physical object; rigidly fixing the rigid follower to one of the housings; and translating the follower along the surface of the physical object and simultaneously using the video recorder to video record the path of the aperture. Other embodiments of the present invention also include a method for guiding a tool. Still other embodiments of the present invention include a method for replicating a part.

Abstract: Size information indicating sizes of a plurality of images is acquired from at least one server. Based on the sizes of the plurality of images indicated by the acquired size information, an image having a size corresponding to an output performance of an output device used to output the plurality of images is selected as an image to be output to the output device.

Abstract: In an image encoding process for encoding data of an inputted image and outputting encoded image data: an image-size condition including image size and target sharpness is stored in an image-size-condition storage; a reduced image of the inputted image having the above image size included in the image-size condition stored in the image-size-condition storage is produced; and the sharpness of the reduced image is calculated. When the calculated sharpness of the reduced image is higher than the target sharpness, the image size included in the image-size condition stored in the image-size-condition storage is reduced, and a further reduced image of the inputted image having the reduced image size is produced.

Abstract: A microscope for virtual-slide creating system has a stage for holding the specimen, a transmitted-light illumination optical system for illuminating the specimen with transmitted light, an objective, a tube lens and an image capture unit. The objective is configured as a dry system of infinity-corrected type with an object-side numerical aperture of 0.8 or greater and a focal length for d-line rays in a range from 8 to 20 mm. The tube lens has a focal length in a range from 160 to 280 mm. The image capture surface of the image capture unit has a long side of 12 mm or longer and a pixel size (?m) satisfying the following condition: a (?m)?(0.61×0.59 (?/m))/NA? where a is the pixel size, and NA? is an image-side numerical aperture.

Abstract: An automatic photographing method with face recognition is applied in a camera having a detecting lens and a photographing lens for a user to photograph a target. First, detect a face of the user through the detecting lens, and obtain a plurality of face images of the detected face. Then, capture an image variance of the obtained face images, and photograph the target through a photographing lens when the captured image variance exceeds a photographing starting value. Therefore, during the whole photographing process, photographing can be achieved through determining variations of the face images of the user without pressing the shutter key of the camera, thereby completely preventing handshakes resulted from the pressing action, and thus improving the photographing quality.

Abstract: A method of tracking an object that appears in a plurality of image frames is provided. The method includes (a) dividing an identified object of one of the plurality of image frames into a plurality of object segments and (b) tracking a location of each of the plurality of object segments in the image frame. The method also includes (c) estimating at least one of scale and orientation of the object using the location of each of the plurality of object segments and (d) obtaining position of the object using the estimated scale and orientation.

Abstract: An information processing apparatus, a calculation method, a program, and a storage medium for generating a uniformly distributed discrete pattern. To calculate a spatial arrangement of a plurality of elements of a discrete pattern, the plurality of elements being arranged in a spatially discrete manner, an information processing apparatus according to the present invention determines, for each of the elements, a density in an initial position given to the element from a density distribution of the elements in a region where the elements are arranged in the discrete pattern and places, for the initial position of each of the elements, a figure having a size corresponding to the density and representing a region where the element repels other elements and a movement range of the figure. The information processing apparatus minimizes an objective function, computes an optimal solution, and outputs the optimal solutions.

Abstract: Embodiments of the present invention provide a method that comprises receiving an image frame, determining an image frame identification (ID) for the image frame, collecting image frame statistics comprising at least one type of statistic from the image frame, and correlating the image frame statistics with the image frame ID.

Abstract: Systems and methods are disclosed that determine a largest patch size to traverse a digital image, analyze the digital image to detect one or more first objects of a size approximately the same as the largest patch size, and discontinue analyzing the digital image when the digital image includes the first object(s) of a size approximately the same as the largest patch size. The patch size is decremented to progressively smaller patch sizes if the first object(s) of a size approximately the same as the largest patch size is not detected and the digital image is further analyzed to detect one or more first objects of a size approximately the same as the smaller patch size until the first object(s) are detected or the patch size is decremented below a predetermined smallest size.

Abstract: A method for estimating a physical property of a porous material from a sample of the material includes making a three dimensional tomographic image of the sample of the material, segmenting the image into pixels each representing pore space or rock grain, and estimating at least one physical property from the segmented image.

Abstract: A block-based object counting apparatus and a block-based object counting that improves the counting of objects by using a camera. The object counting apparatus includes: a camera acquiring an image; a storage unit for storing average sizes and error data of an object in units of image blocks; and a control unit having a data inputter for receiving the acquired image for input, an object size determinator for determining appearance of the object by comparing a current image with a previous image and then determining the size of the object, a block determinator for determining a block where the object is located, and a counter for counting the object and fixing the counting of the object by comparing the size and location data of the object with data stored in a storage unit.

Abstract: A system and method for measuring a border of an image of an object includes setting measurement parameters, selecting a start point, an end point, and a image capture direction, and marking isS=true, moving a CCD lens to a current point, capturing an image by the CCD lens, and obtaining sequential border points of the image. The method further includes determining if the sequential border points are fuzzy, performing an automatic focus function if the sequential border points are fuzzy, or further determining the border of the object has been completely captured if the sequential border points are clear, calculating accurate border points if the border of the object has not been completely captured, and determining a new start point to capture the next image of the object.

Abstract: Indications are received regarding which of plural outputs are preferred over others of the plural outputs. A continuous function is computed that satisfies constraints corresponding to the received indications and that satisfies a predefined criterion. Values of parameters are computed based on the continuous function, wherein the values of the parameters are useable in a process to generate an output.

Abstract: One aspect of the subject matter described in this specification can be implemented in a method for detecting a detail level of an image including receiving an original image, transforming the original image to generate one or more blurred images, deriving image differences corresponding to ranges of detail frequency of the original image based, at least in part, on the one or more blurred images and the original image, determining, based on the image differences, a detail level value corresponding to the original image, and providing the detail level value to an image management application.

Abstract: An image processing apparatus automatically determining a composition of an image includes area dividing means for dividing an input image into areas; target area determining means for determining a target area having higher visibility from the divided image; unnecessary area determining means for determining an unnecessary area having lower visibility from the divided image; and composition determining means for determining from the input image a composition that includes the target area and does not include the unnecessary area.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of at least a portion of an anatomical structure of the patient. The portion of the anatomical structure may include at least a portion of the patient's aorta and at least a portion of a plurality of coronary arteries emanating from the portion of the aorta. The at least one computer system may also be configured to create a three-dimensional model representing the portion of the anatomical structure based on the patient-specific data, create a physics-based model relating to a blood flow characteristic within the portion of the anatomical structure, and determine a fractional flow reserve within the portion of the anatomical structure based on the three-dimensional model and the physics-based model.

Abstract: The a surface of an object is illuminated in sequence with a number of light beams, each of which is nearly tangential to the surface. Images of the surface are recorded for each light beam, and the images are analyzed to identify features such as depressions in the surface.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: An image forming device includes a main body casing, a cover configured to be openable and closable with respect to the main body casing, a sensing unit configured to sense an opening-closing operation of the cover, a forming unit configured to form an image on a sheet, a detecting unit configured to perform a detecting operation to detect a deviation of an image forming position of the image to be formed by the forming unit, an accepting unit configured to accept a print request, and a control unit configured to control the detecting unit to perform the detecting operation in response to the print request being accepted when the sensing unit senses an opening-closing operation of the cover after execution of a previous detecting operation, and thereafter to control the forming unit to form the image in the image forming position corrected to cancel the deviation detected in the detecting operation.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: A method for estimating the aesthetic quality of an input digital image comprising using a digital image processor for performing the following: determining one or more vanishing point(s) associated with the input digital image by automatically analyzing the digital image; computing a compositional model from at least the positions of the vanishing point(s); and producing an aesthetic quality parameter for the input digital image responsive to the compositional model, wherein the aesthetic quality parameter is an estimate for the aesthetic quality of the input digital image.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: The present invention relates to a method for applying a trimming operation to image. The method includes the steps of: detecting person and object; calculating area of face region and area of detected object and calculating distance between center of face region and that of image and distance between center of detected object and that thereof; and applying trimming operation to the object if area of detected object is by over a first prefixed percent larger than that of face, and applying trimming operation to the object if distance between center of detected object and that of image is a second prefixed value or less and distance between center of face and that of image is by over a third prefixed value larger than distance between center of detected object and that thereof.

Abstract: A diagnostic system for display of physiological data in a format useful for identifying or diagnosing physiological conditions. The system registers visual representations of different types of physiological data to aid in an understanding of bodily processes. In addition to registering the data, the system may display different types of physiological data with different visual characteristics. Further, the transparency of the visual representations of the different datasets may be controlled to enhance the understandability of displayed information. The system, for example, can be used with data representative of pressure and impedance within a patient's gastrointestinal tract to provide greater understanding of physiological processes during a swallow.

Abstract: Automated image quality assessment methods, which include locating a region of interest, region assessment, contrast assessment, blur assessment, and contaminant detection, on video data and high-resolution imagery. Where the blur assessment is performed without a reference image by dividing the region into non-overlapping block, measuring the wavenumber frequency of the blocks and calculating the ratio of the low frequency to high frequency areas.

Abstract: A user authentication method and apparatus using a face image are provided. The method includes transforming a face image in a normalized spatial domain into frequency-domain data, extracting valid transform coefficients from the frequency-domain data based on energy-concentrated region information, extracting a feature vector from the extracted valid transform coefficients, and performing user authentication by comparing the extracted feature vector with a previously registered feature vector. Accordingly, it is possible to perform user authentication using a face image while using a minimum data dimension, thereby improving the speed and precision thereof.

Abstract: An apparatus and method for rapidly and accurately determining blur differences between captured images. Blur change is modeled as a point spread function from a first position to a second position, which is approximated in response to performing a series of convolutions using at least two different blur kernels having different variance. The kernel with a larger variance is used first to speed processing, after which a kernel having a smaller variance is utilized to attain desired accuracy. Any number of kernels can be utilized with decreasing variance to achieve any desired level of accuracy. The apparatus and method can be utilized within a wide range of image capture and/or processing devices, and can be utilized within camera focus mechanisms to increase focusing speed and accuracy.

Abstract: There is provided a system for detecting a shape change of a building based upon an aerial photograph taken by an airplane. The system can process the aerial photograph without waiting for the airplane to land. On the airplane, edges are extracted directly from a central projected photographed image to be transmitted wirelessly to a ground station. This ground station extracts segments from the edges to thereby determine a shape of the building in the photographed image. On the other hand, the ground station generates a projected image of the building, which is obtained by central projecting existing three-dimensional data from a flying position of the airplane, and matches the projected image and the shape of the building obtained from the photographed image. According to a similarity between the two through the matching, it is decided whether or not the shape of the building has changed from the time of registration of the existing three-dimensional data.

Abstract: A printing system includes a converter for replacing graphic elements of a document (100) that is subject to subsequent processing such as color matching. Conversion involves using multiply transparency in place of overprint and creating transparency groups (21, 23) to replace elements (1-4) that have subsequent elements that meet an overlapping overprint criteria. An element transparency group (21, 23) includes multiple elements based on the original element (1, 3) but with geometry and selected colorant channels modified based on the relationship between the original element (1, 3) and each subsequent original element (1-4) meeting the criteria.

Abstract: A method for constructing a georeferencing-enabled camera model and its deployment in georeferencing targets located in video sequences due to a single video camera. A video surveillance camera is modeled by a collection of rays converging at a virtual camera point and the retina resolution cell coordinates associated with those rays wherein the ray equations are first established, in the course of a calibration process, for a given camera view, with the aid of other views of the same video surveillance camera, as necessary, and using such a model for mapping image coordinates to terrain coordinates and vice versa in the intended view or its adaptation for use in other views of the same video surveillance camera.

Abstract: A tumor region is determined within a three dimensional medical image. A long axis and a short axis of the determined tumor region are designated. The lengths of the designated long axis and the designated short axis are measured. The measured lengths of the long axis and the short axis are displayed.

Abstract: An index detection unit (1040) detects the coordinate values of indices in a sensed image sensed by an image sensing device (1020) attached with an orientation sensor (1010). A contribution degree calculation unit (1070) acquires contribution degrees according to a frequency at which the image sensing device (1020) is located to have an orientation indicated by orientation information included in the position and orientation information of the image sensing device (1020) at the time of image sensing. A data management unit (1060) generates sets of the coordinate values and orientation information measured by the orientation sensor (1010) at the time of sensing of the sensed image for respective indices. A calibration information calculation unit (1090) calculates an orientation of the orientation sensor (1010) with respect to the image sensing device (1020) using the position and orientation information, parameter values, and the sets generated for the respective indices.

Abstract: Disclosed are embodiments of systems and methods for synthesizing a detailed depth map from a video image. In embodiments, the motion vectors decoded from a video stream may be classified into groups by the application of K-Model clustering techniques based on an affine model. In embodiments, a coarse depth map of the image pixels may be generated using the image segmented according to the motion vector clusters. In embodiments, high resolution gradient maps of the image may be generated using the coarse depth map as well as edge information from the image. In embodiments, a surface reconstruction algorithm, such as the Frankot-Chellappa algorithm, may be applied to the high resolution gradient maps to synthesize a detailed depth map of the image. A detailed depth map of an image may be used to render a three-dimensional surface, for example.

Abstract: The disclosure concerns processing of electronic images, such as hyperspectral, multispectral or trichromatic images. In particular, but is not limited to, a method, software and computer for estimating parameters of a reflectance model applied to an image is disclosed. Examples of processing of the images using the estimated parameters includes material recognition, re-colouring and re-shading of objects represented in the image. That is, a computer implemented method is provided of estimating one or more of photogrammetric parameters, ?(u) surface shape N and index of refraction n(u,?) represented in a reflectance image having one or more known illumination directions and a known viewing direction V, the method comprising optimising (802) the difference between the reflectance image and a reflectance model, the reflectance model being based on surface shape N; the material index of refraction n(u,?) and a set of photogrammetric parameters ?(u).

Abstract: A system and method determines the shape of a surface that preferably is a deployed space-based adaptive flexible membrane antenna, using patterned projections, image capturing, and membrane shape processing for producing membrane shape data describing the contour of the surface of the membrane with the membrane shape data then preferably used as inputs for a feedback control actuation system for deforming the membrane to a desired shaped so as to maintain the three-dimensional shape of the membrane in the desired shape.

Abstract: A method, system, and machine-readable medium for classifying an image element as one of a plurality of categories, including assigning the image element based on a ratio between an unoccluded perimeter of the image element and an occluded perimeter of the image element and coding the image element according to a coding scheme associated with the category to which the image element is classified. Exemplary applications include image compression, where categories include image foreground and background layers.

Abstract: An apparatus, method and computer program product are provided for tying items of information to features in an area associated with a captured media object. An information provider may associate physical coordinates and temporal information with an item of information. When a media object is captured, metadata indicating the location and direction from which, and the time at which, the media object was captured, and/or, in the instance where the media object is an image, a focal and zoom setting of the device that captured the image, may be generated and stored with the media object. When the media object is viewed, this information, as well as other metadata associated with the capturing and/or reproducing of the media object, as well as the media object itself, may be used to estimate the area corresponding to the media object and to determine item(s) of information corresponding with features in the estimated area.

Abstract: A method and system for calculating oblong-shape rotation angles from binary images of arbitrary size using running sums is described without the need of eigenvector routines and storage of the image data. The oblong shape may be of arbitrary size and location and need not be precisely elliptical. A few running sums are calculated and stored throughout each scan, and the results are obtained in closed form by simple post-scan computation. An algorithmic embodiment can execute on one or more hardware processors with limited or otherwise constrained computation power, available instruction cycles, available memory, etc. Hardware processors may CPUs found in desktops, laptops, tablets, or handheld computing devices. The resulting arrangement may be used for touch or optical user interfaces, real-time image recognition, real-time machine vision, and other purposes.

Abstract: A basket processing apparatus that includes a basket storage portion in a form of a horizontal load rail. A plurality of slide storage baskets can be located in series on the rail. Each basket is ‘side loading’ and the side loading aperture of each basket can be selectively covered by a slide retaining bar. When the baskets are placed on the load rail, the basket can be moved along the horizontal rail by a basket moving means. The arrangement of the rail and the basket moving means is such that the baskets can be pushed together and move as a ‘train’. Baskets moved to the pick-up end of the rail can then be removed from the rail and processed. A vertical lift mechanism can be used to remove the basket and transport it to a processing device, for example a coverslipper.

Abstract: Systems and methods for performing image editing operations may use patch transforms and inverse patch transforms to reconstruct output images from input images and to refine them using patch jittering such that visual artifacts are repaired. The methods may include generating one or more jittered versions of patch(es) initially assigned to nodes of the output image and using them as candidate patches for a refined image. Jittered versions of patches may be shifted by a small number of pixels in one or more directions. The number of jittered versions and amount of jittering exhibited by each may be configurable (e.g., programmatically or by a user) and/or may be dependent on the amount of overlap between the patches. Belief propagation may be used to replace patches in the output image with jittered versions in the refined image. The methods may be implemented as program instructions executable on a CPU and/or GPU.