Abstract: Methods and apparatus for generating a sharp image are described. A camera device includes a plurality of camera modules, e.g., optical chains, where at least some of the camera modules have different depths of field. Multiple images of a scene are captured using the plurality of camera modules. Portions of the multiple images which correspond to the same scene area are identified. Image portion sharpness levels are determined for individual image portions. Image portions with high sharpness levels are selected and included in a composite image.

Abstract: The present invention provides an image correction method, an image correction apparatus and a video system. The image correction method comprises: obtaining an actual face image; obtaining a target sample image matching with the actual face image; and correcting each eye area of the actual face image according to the target sample image such that orientation of each eye area of the corrected actual face image coincides with orientation of a corresponding eye area of the target sample image. The present invention may enable pupil portions of eye areas in a received face image to look toward a camera, thereby realizing an equal communication and improving sensory experience.

Abstract: There is provided an image processing apparatus including an edge detection part that detects an edge of a subject on an input image, a luminance change determination part that determines whether a luminance value in a vicinity of the edge in the input image is increased or decreased in a predetermined direction, and a contour supplement part that supplements a contour to the edge in the input image, the contour having the luminance value changed in a time direction depending on a result of the determination.

Abstract: Provided are a method and an apparatus for adjusting image brightness. The method includes: acquiring an image to be processed, and acquiring a single-channel brightness image based on grayscales of each channel of the image to be processed; performing Gaussian filtering on the single-channel brightness image to acquire a Gaussian filtered image; adjusting grayscales of the Gaussian filtered image based on the grayscales of the Gaussian filtered image and a preset proportion; comparing the Gaussian filtered image after adjustment with the Gaussian filtered image before adjustment to acquire a grayscale change rate of each pixel through adjustment; processing the image to be processed based on the grayscale change rate of each pixel to acquire a processed image; and outputting the processed image.

Abstract: An image synthesis apparatus for generating a composite image by synthesizing a second image with a first image, includes an image acquisition unit configured to acquire first group images including the first image and a plurality of different resolution images corresponding to the first image, and second group images including the second image and a plurality of different resolution images corresponding to the second image, a frequency component calculation unit configured to calculate low-frequency components and high-frequency components from the first group images and the second group images, and an image synthesis unit configured to generate the composite image on the basis of the low-frequency components of the first group images and the high-frequency components of the second group images.

Abstract: A method of inspecting two or more sides of an object is provided. The method includes generating one set of image data of two or more sides of the object, such as by using spherical mirror segments that project all sides of the object onto a single image and generating an X by Y array of image data of the single image. The projection of the image data is then compensated for, such as by identifying inspection processes to locate defects of the object in the projected image data or by converting the image data from the projected inspection coordinates to Cartesian coordinates. Predetermined inspection processes are then performed on the compensated image data, such as by using the inspection processes that are optimized for use with the projected image data or by converting the projected image data into a Cartesian format and using Cartesian image data inspection processes.

Abstract: Camera heads for use in pipe inspection systems are disclosed. In one embodiment a camera head includes a body; an image sensor disposed in the body for generating images of an interior of a pipe or cavity in which the camera head is inserted, and processing circuitry operatively coupled to the image sensor to automatically capture images or video frames by the camera head within the object.

Abstract: A system for object recognition includes an image/spectrum sensing device, to fetch an object image from a real object and sense spectra at sensing regions of the real object. A fetching module obtains a real-object image feature pattern for each ROI of the object image. An analyzing module for object image feature searches for a first candidate object from data bank and analyzes a correlation between the real object and candidate object. A fetching module for object spectrum feature obtains a real-object spectrum pattern for each ROI of the object image. An analyzing module for object spectrum feature is to search for a second candidate object from data bank and to further analyze a match level between the real-object and the second candidate object. A fusion module further analyzes information of image feature and spectrum feature find whether or not having a matched object as an identify object.

Abstract: Proposed are an image analyzing apparatus and program in which the orientation of fiber bundles can be easily analyzed from a three-dimensional image of CMC.

Abstract: A method of comparing measured three-dimensional (3D) measurement data to an object is provided. The method includes the steps of providing a three dimensional measurement device configured to measure 3D coordinates of points on the object and a computing device having a camera and display. During an inspection process, the method measures the object with the 3D measurement device which provides a first collection of 3D coordinates. The first collection of 3D coordinates is stored on the computer network and is associated with an AR marker. During an observation process the method reads the AR marker and transmits from the computer network the first collection of 3D coordinates and a dimensional representation of the object to the computing device. A portion of the first collection of 3D coordinates is registered to the camera image. On the integrated display the registered collection of 3D coordinates and the camera image are shown.

Abstract: A server receives datasets from mobile devices. Each dataset identifies a task selected in an augmented reality application of a corresponding mobile device and an identification of a tool detected at the corresponding mobile device. The server identifies tools present and absent at a dedicated tool board and compares an identification of the tools present and absent at the dedicated tool board with the tools detected at the mobile devices and the tasks identified at the mobile devices to generate a tool inventory and a tool compliance. The server generates an augmented reality content dataset for each mobile device to identify at least one of a missing tool, an incorrect tool, and a valid tool based on the tool compliance.

Abstract: In a method for testing an agricultural spraying device (1) which comprises a plurality of nozzles (3) that are arranged at a spacing from one other and spray a liquid, which is supplied under pressure, in a defined atomizing cone (8), a region, near the nozzle, of the atomizing cone (8) of each individual nozzle (3) is optically recorded, in a direction perpendicular to the central axis of the atomizing cone (8), by means of a recording device (6) having a digital camera (7), and is stored as a digital image file.

Abstract: A method of generating an indication of at least one characteristic of a patient's bone mineral density. The method comprises obtaining at least one measurement of a width of a patient's inferior mandibular cortex and generating said indication based upon said at least one measurement. The at least one measurement is obtained at a location along the inferior mandibular cortex between the ante-gonion and a point on the inferior mandibular cortex defined with reference to the mental foramen.

Abstract: In one aspect, the present invention relates to a system evaluating a surgical margin of tumor tissues of a living subject. In one embodiment, the system includes a light source configured to emit a source light; at least one optical probe; a scanner; a spectrometer; and a controller coupled with the scanner and the spectrometer for operably controlling the scanner and the spectrometer. In operation, a working end of the optical probe is positioned proximate to a surface of a specimen of the tumor tissues. A source channel of the optical probe deliver the source light emitted by the light source from the working end to the surface of the specimen, and a plurality of collection channels collect from the working end diffused/reflected light generated from interaction of the source light with the specimen. The spectrometer receives the collected diffused/reflected light to evaluate a margin status of the specimen.

Abstract: A system and method for assessing the concentration of a fluid component within a container, the method comprising: receiving data associated with an image of the canister; from the image, detecting a color grid comprising color elements coupled to the canister,; selecting a region of the image corresponding to a portion of the canister; determining a match between a detected color of the region and a shade in the set of colors associated with the color grid captured in the image; based upon a position of a color element corresponding to the shade in the color grid, retrieving a concentration of the blood component associated with the shade of color.

Abstract: For volume ultrasound imaging, the view direction for rendering a volume image is used. In one approach, imaging parameters for acquiring the volume data prior to rendering are set based on the view direction. For the resolution example, the data for imaging is acquired with the resolution in a view plane greater than resolution along the ray tracing direction. In another approach, sets of data representing a volume are acquired or formed with different settings. The sets are weighted based on the view direction and combined. For the resolution example, an image rendered from the combined data may have greater resolution in the view plane where the set of data with greater resolution in that view plane is weighted more in the combination.

Abstract: [Object] To improve work efficiency with respect to work using a transparent object, such as a transparent operation tool, for example. [Solution] An image region where an object exists as a target region is detected on the basis of a second captured image, when a first captured image is a captured image obtained by selectively receiving a light of a first wavelength band, and the second captured image is a captured image obtained by selectively receiving a light of a second wavelength band, the captured images being obtained by capturing the object that is transparent for the light of the first wavelength band and is opaque for the light of the second wavelength band. Subsequently, an outline of the object is superimposed on the first captured image on the basis of information of the target region detected by the target detecting unit.

Abstract: An image processing apparatus includes an input section, a specification section, an extraction section, and a calculation section. The input section receives fluorescence image information obtained by picking up an image of fluorescence based on application of excitation light to a subject provided with a fluorescent substance with a specific effect on a living tissue and therapeutic light position image information including an application position of therapeutic light. The specification section specifies an application region of the therapeutic light. The extraction section extracts a luminance value corresponding to the application region of the therapeutic light and a luminance value corresponding to a region other than the application region of the therapeutic light. The calculation section calculates and outputs a ratio of the extracted luminance value corresponding to the application region to the luminance value corresponding to the region other than the application region.

Abstract: An endoscope system for analyzing, when an endoscope is inserted into a subject, an observed region and an unobserved region of the endoscope using information of a three-dimensional image of the subject obtained in advance, including: one or more processors comprising hardware, for: three-dimensionally changing a display direction for displaying a luminal organ model extracted from a three-dimensional image, and when an identification image provided with identification information is generated on the luminal organ model with the display direction changed, generating the identification image in a direction such that a proportion of the non-angle-of-view region in the identification image is largest.

Abstract: A computer-based method and system assists users performing medical imaging studies, such as echocardiograms. While the user manipulates the imaging device on an individual, the system automates image processing, relieving the user from the need to simultaneously operate an application and an imaging device. The system assesses an organ system, then through comparison with other imaging data sets, generates an evaluative assessment of the organ system. The system becomes increasingly image-aware and content-aware during an evaluation, and by sequential comparisons against progressive data sets, refines an evaluative assessment.

Abstract: An image search device includes: a search unit that retrieves an image similar to a search target image from a registration unit where an image and link information are registered in an associated manner; and a transmission unit that transmits, to a terminal device, the link information associated with the retrieved image. An information processing apparatus controls registration of an image and link information in the registration unit. The information processing apparatus extracts a predetermined area from a registration target image to be registered in the registration unit, transmits an image of the predetermined area to the search unit, and determines whether a similar image including an image similar to the predetermined area is registered in the registration unit based on a search result of the search unit. In the case where determination is made that a similar image is registered in the registration unit, such a fact is notified.

Abstract: A method for acquiring a basic magnetic field inhomogeneity value of a magnetic resonance imaging (MRI) system includes homogenizing an original basic magnetic field of the MRI system into a target magnetic field, providing a magnetic field compensation amount for the MRI system by a dynamic shimming method. The dynamic shimming method includes performing a 3D low-resolution dual-echo gradient echo sequence, and using a general formula to acquire the magnetic field inhomogeneity value, the general formula being: ?B=?Boriginal+?Bcompensating, wherein ?B is the magnetic field inhomogeneity value, ?Boriginal is a difference value between the original magnetic field and the target magnetic field, and ?Bcompensating is the magnetic field compensation amount. This method for acquiring a magnetic field inhomogeneity value for an MRI system saves considerable time to map the magnetic field again, thereby shortening the magnetic resonance imaging time, and increasing the efficiency of magnetic resonance imaging.

Abstract: An object recognition apparatus 10 includes a candidate image extraction unit 12 that extracts a candidate image part 22, which is an image part of an object, from a pickup image 21 of a camera 2, and a candidate image determination unit 14 that determines the type of object of the candidate image part 22 in a determination area R?1 on the basis of whether or not a first predetermined number k or more of the candidate image parts 22, which have been extracted by the candidate image extraction unit 12, have been extracted in the determination area R?1, the width in the horizontal direction of which is a predetermined width or less, in the pickup image 21.

Abstract: A method generates a three-dimensional map of a region from successive images of the region captured from different camera poses. The method detects feature points within the captured images and designates a subset of the images as a set of keyframes each having camera pose data and respective sets of measurement data representing image positions of landmark points detected as feature points in that image. The method also includes performing bundle-adjustment to generate bundle-adjusted landmark points by iteratively refining the three dimensional spatial positions of the landmarks and the camera pose data associated with at least a subset of the keyframes. And for a feature point, not corresponding to a bundle-adjusted landmark point, detected at an intervening image which is not a keyframe and present in another intervening image which is not a keyframe, the method generates a non-bundle-adjusted point corresponding to that feature point and derives a camera pose.

Abstract: A system for determining a camera pose relative to an object including a unique feature may include a monocular camera configured to produce an image of the object, and a processing unit in operative communication with the monocular camera. The processing unit may be configured to: identify the unique feature of the object in the image produced by the monocular camera, synthesize at least four points along a contour of the object in the image using the identified unique feature as a starting point, synthesize a same number of points as synthesized in the image along a contour of the object in a reference model, the reference model preprogrammed into a memory of the processing unit, correlate the points from the reference model to the image, and determine a pose of the monocular camera based on the correlated points.

Abstract: A topographical measurement system of a specular object and a topographical measurement method thereof are disclosed. The topographical measurement system has a screen, an image capturing device, and an image processing device. The specular object reflects a fringe pattern from the screen, so as to form a virtual image of the fringe pattern. The virtual image is therefore analyzed to obtain a surface profile of the specular object.

Abstract: Systems and methods provide for an automated system for generating one or more three dimensional (3D) images of a vehicle and/or a baseline image for that vehicle. The system may receive 3D images of a plurality of vehicles of a same type (e.g., same make, model, year, etc.) and generate a 3D image of a baseline vehicle for vehicles of that same type based on 3D images of the plurality of vehicles of the particular type. The system may use a 3D image of the baseline vehicle to determine a characteristic of another vehicle, such as a modification made to the vehicle, damage to the vehicle, cost to repair the vehicle or replace parts of the vehicle, a value of the vehicle, an insurance quote for the vehicle, etc. In some aspects, the 3D images may optionally comprise 3D point clouds, and 3D laser scanners may be used to capture 3D images of vehicles.

Abstract: An image processing apparatus including a memory storing instructions, and at least one processor configured to process the instructions to calculate a solar spectrum using a time at which an input image is captured, and a position at which the input image is captured, calculate an estimated background calculated to be close to a background included in the input image, using the input image and the solar spectrum, and output the estimated background.

Abstract: Various examples are directed to systems and methods for determining foreground regions in video frames. A computing device may select from a first frame of a video, a plurality of scene point locations and divide the first frame into a plurality of sections. For a first section of the first frame, the computing device may generate a first vector subspace, basis vectors of the first vector subspace are trajectories of scene point locations in the first section. The computing device may determine that a projection error for a first scene point location in the first section is greater than a projection error threshold and write an indication of the first pixel value to a listing of foreground pixel values.

Abstract: A time series of image frames in an anatomical scan is segmented. An image frame k in the time series of image frames is manually segmented. A non-rigid registration is then performed between the image frame k and a next image frame k+1 in the time series of image frames. A segmentation on the image frame k+1 is computed based on the non-rigid registration. Each subsequent image frame k+n in the time series of image frames is iteratively segmented using non-rigid registration with the segmented previous image frame k+(n?1) in the time series of image frames.

Abstract: A system (100) and method is provided for performing a model-based segmentation of an anatomical structure in a medical image of a patient. The medical image (022) is accessed. Moreover, model data (162) is provided which defines a deformable model for segmenting the type of anatomical structure. The model-based segmentation of the anatomical structure is performed by adapting the deformable model to the anatomical structure in the medical image using an adaptation technique.

Abstract: A graphics processing unit (GPU) may determine a workload of a fragment shader program that executes on the GPU. The GPU may compare the workload of the fragment shader program to a threshold. In response to determining that the workload of the fragment shader program is lower than a specified threshold, the fragment shader program may process one or more fragments without the GPU performing early depth testing of the one or more fragments before the processing by the fragment shader program. The GPU may perform, after processing by the fragment shader program, late depth testing of the one or more fragments to result in one or more non-occluded fragments. The GPU may write pixel values for the one or more non-occluded fragments into a frame buffer.

Abstract: Systems and methods track one or more points between images. A point for tracking may be selected, at least in part, on a determination of how discriminable the point is relative to other points in a region containing the point. A point of an image being tracked may be located in another image by matching a patch containing the point with another patch of the other image. A search for a matching patch may be focused in a region that is determined based at least in part on an estimate of movement of the point between images. Points may be tracked across multiple images. If an ability to track one or more points is lost, information about the points being tracked may be used to relocate the points in another image.

Abstract: A method, apparatus and system for acquiring headcount are provided. Data frames are acquired from a surveillance video, object models are set in the data frames, and a foreground image is extracted from the data frames, wherein the foreground image includes moving objects extracted from the data frames; the moving objects in the foreground image is matched with the object models, the headcount in corresponding data frames is acquired according to a result of the matching, characteristics of the matched moving objects are extracted, and the corresponding moving objects are tracked based on the characteristics; the actual headcount for a predetermined time segment of the surveillance video is acquired based on a result of the tracking and the acquired headcount for each of the data frames, wherein the result of the tracking includes: an indication of whether some or all of the data frames includes a same moving object.

Abstract: A method and apparatus for projector distortion compensation in structured light depth reconstruction are described. In one embodiment, the apparatus comprises a projector configured to project a sequence of light patterns on an object; a first camera configured to capture a sequence of images of the object illuminated with the projected light patterns; a processing unit to receive the sequence of images and reconstruct depth using triangulation in response to camera and projector location coordinates; and a projector distortion compensation unit operable to generate a new projector location coordinate in response to an observed distorted projector location coordinate, the projector distortion compensation unit to provide the new projector location coordinate to the processing unit for use in generating depth values via triangulation.

Abstract: A method for detecting an object includes inputting information of a moving object included in a plurality of images and generating a regression tree. In response to input of a new image, the system communicates information of a moving object included in the newly inputted image into the regression tree, and determines a size of a person included in the new image based on a resultant value of the regression tree.

Abstract: A method for providing mapping, data management and analysis. Creation of a map is initiated with a desired Gaussian aggregation and desired color map parameters. Data is loaded to be utilized in the map. The data is rasterized, then converted to a certain scale. A convolution operation is performed on the data. The convolution results are applied to a color ramp, and the map is created based on the color ramp and the convolution results.

Abstract: Graphic arts software has evolved to provide users with a variety of mark making tools to simulate different brushes, papers, and applied media such as ink, chalk, watercolor, spray paint and oils. However, in many instances the marks rendered appear unnatural and artificial despite the software's goal being to simulate as realistically. Accordingly, it would be beneficial to provide either users or the software application with a mechanism to remove or reduce artifacts indicative of artificial generation, e.g. rapid transitions. Further, in many instances the graphic images generated and/or manipulated refer to imagined environments or have elements that are physical in nature. Accordingly, it would be beneficial to provide users with a range of mark making tools that represent marks made by mark making tools comprising multiple elements following physical laws.

Abstract: A texture repository is provided for use with an image manipulation application. The texture repository provides a canvas to the image manipulation application for use with an image filter. The texture repository may provide an existing canvas matching the request from the image filter, or the texture repository may generate a new canvas for the request. The generated canvas may be procedurally generated to match the request, or the generated canvas may be resized from an existing canvas stored in a non-volatile storage or a cache.

Abstract: An image enhancement system and method for enhancing medical images from a surgical imaging system. Each image pixel has a value in a first three-dimensional color space. A mapping of values in a subset of the first color space is calculated to map each color point in the subset to an enhanced value. The mapping is calculated by selecting a reference point in the subset and, for each color point in the subset, mapping the color point to a modified color value offset from the reference point by the modified color point vector that has the same direction as the color point vector extending from the reference point to the color point, but a greater magnitude. The mapping is applied to the pixel values in the medical image falling in the subset to produce an enhanced image.

Abstract: One or more techniques and/or apparatuses described herein provide for reconstructing image data of an object under examination from measured projection data indicative of the object. The measured projection data is converted into image data using an iterative image reconstruction approach. The iterative image reconstruction approach may comprise, among other things, regularizing the image data to adjust a specified quality metric of the image data, identifying regions of the image data that represent aspects of the object that might generate inconsistencies in the measured projection data and correcting the measured projection data based upon such an identification, and/or weighting projections comprised in the measured projection data differently to reduce the influence of projections that respectively have a higher degree of inconsistency in the conversion from projection data to image data.

Abstract: A computationally efficient dictionary learning-based term is employed in an iterative reconstruction framework to keep more spatial information than two-dimensional dictionary learning and require less computational cost than three-dimensional dictionary learning. In one such implementation, a non-local regularization algorithm is employed in an MBIR context (such as in a low dose CT image reconstruction context) based on dictionary learning in which dictionaries from different directions (e.g., x,y-plane, y,z-plane, x,z-plane) are employed and the sparse coefficients calculated accordingly. In this manner, spatial information from all three directions is retained and computational cost is constrained.

Abstract: According to one embodiment of the present invention, a system generates an alternative visualization of a data set based on a specification of a selected first visualization of the data set and parameters comprising information about a data visualization goal and statistical relations between two of more variables in the data set. Embodiments of the present invention further include a computer program product for generating an alternative visualization in substantially the same manners described above.

Abstract: A method and system for highlighting portions of a graph based on exception highlight rules is described. Highlight rules for a graph are received from a selection of a portion of an axis of the graph. Portions of the graph satisfying the highlight rules are identified. Visualization on the graph is generated to highlight the identified portions of the graph satisfying the highlight rules.

Abstract: A method, system, and computer program product for presentation of data in enterprise applications. The method form commences by identifying a hierarchy of data maintained by an enterprise application (e.g., in a database). A hierarchy processor or other processor reads the hierarchy of data to configure a graphical representation of the hierarchy of data to be displayed on a display device. The graphical representation includes a graphical display indication corresponding to one or more relationships between items in the displayed hierarchy. Additional display indications include a calculated summary value of aggregated data, such as where the aggregated data is calculated using an aggregation function.

Abstract: According to one embodiment of the present invention, a computer-implemented method generates an alternative visualization of a data set based on a specification of a selected first visualization of the data set and parameters comprising information about a data visualization goal and statistical relations between two or more variables in the data set. Embodiments of the present invention further include a system and computer program product for generating an alternative visualization in substantially the same manners described above.

Abstract: The present invention extends to methods, systems, and computer program products for cross-platform data visualizations using common descriptions. Embodiments of the invention provide mechanisms for simplifying software development and enhanced code reliability. A user interface, along with interactive and dynamic characteristics, can be described (programmatically and/or declaratively) independently of any specific device platform. User interface qualities can be described using a generic scene graph structure with attached behaviors. The generic scene graph can then be used to drive the user interface on any number of different computing platforms using platform specific (e.g., rendering, gesture recognition, etc.) sub-systems. Platform specific sub-systems can vary based on technologies that are used by the platform specific sub-systems. For example, rendering sub-systems can vary based on the technology used to render graphical data, such as, for example, Open GL, XAML, Direct X, Quartz, etc.

Abstract: One embodiment is directed to a method comprising obtaining, using a portable device, identifier information about one or more identifiers associated with one or more of a rack and equipment installed in the rack and displaying on the portable device a picture of the rack captured and displaying on the portable device an overlay that includes markings that define a perimeter of the rack and a plurality of equipment positions within the rack. The method further comprises receiving, by the portable device, an alignment of the overlay on the picture of the rack and the equipment positions and receiving location information for the rack. The method further comprises storing the picture of the rack, the alignment of the overlay on the picture of the rack, the identifier location, and the location information by a management application. Other embodiments are disclosed.

Abstract: A method can include rendering pixel representations of information to a rectangular display; and rendering pixel representations of perspectival text to the rectangular display where the pixel representations of perspectival text overlay a portion of the pixel representations of information. Various other methods, apparatuses, systems, etc., are also disclosed.

Abstract: A method for superposing location information on a collage includes: acquiring a selected image and a collage template identifier corresponding to a selected collage template, and acquiring longitude and latitude information corresponding to the selected image; sending the longitude and latitude information and the collage template identifier to a server; and receiving graphic and textual information returned by the server, and superposing the selected image and the graphic and textual information on the selected collage template.