Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a memory device including a first integrated circuit (IC) including a plurality of memory channels and a second IC including a plurality of processing units, each coupled to a memory channel in the plurality of memory channels.

Abstract: Provided is a data processing device and a method of operating the same. The data processing device includes: a plurality of preprocessors configured to perform correction processing on a plurality of sensor data; a first switching circuit configured to selectively map and input the plurality of sensor data from at least two sensors to at least two preprocessors among the plurality of preprocessors; and a hybrid data processing engine configured to perform at least one of image enhancement and depth information determination on the plurality of sensor data received, via an on-the-fly method, from the at least two preprocessors.

Abstract: A control device for cache bypass includes: an information acquirer configured to acquire information about pixels on a screen space and a texture to be mapped to the pixels; and a controller configured to determine a scale factor, by using the acquired information, and to control texture data corresponding to the texture to bypass a cache based on the scale factor, wherein the scale factor is a ratio of a size of the texture to a size of the pixels.

Abstract: A medical registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.

Abstract: An electronic device and associated method place a sticker near a facial region in a digital image. The method detects 2D positions of facial features from a 2D digital image, and calculates a projection matrix from a predetermined 3D reference model having predefined facial feature points that correspond to the 2D detected facial features. The method then selects a digital sticker, and for each corner of the selected digital sticker, uses the projection matrix to transform 3D positions of the corner to corresponding positions on the 2D digital image. The method calculates a refinement matrix defining a correlation of each corner of the selected digital sticker to anchor points in the 2D digital image. Using the refinement matrix, the method calculates updated projected 2D positions and displays the selected sticker on the 2D digital image based on the updated projected 2D positions for each corner point.

Abstract: A display device, such as a head mounted device (HMD), displays a virtual scene. The display device includes a motion tracker for detecting rotation of the display device. The display device also includes a processor that is configured to selectively maintain or modify a position of an array of rendered pixels relative to the virtual scene in response to the detected motion. The processor is also configured to upsample the rendered pixels to generate values of display pixels for presentation by the display device. The processor is further configured to translate the values of the display pixels in a rendering plane of the display device based on the detected motion. The translated values of the display pixels can then be presented on a display of the display device.

Abstract: Method of processing a digital image comprising increasing the sample resolution of the digital image from a predetermined resolution including neighboring sample points to an increased resolution including intermediate sample points between adjacent of the neighboring sample points, and populating each of the intermediate sample points depending on the influence of a predetermined number of the neighboring sample points, wherein the influence of the predetermined number of neighboring points are weighted substantially proportional to the proximity of the neighboring sample points relative to the respective intermediate sample points. Also a computer or device-readable medium and a computer system.

Abstract: In graphics processing data is received representing one or more vertices for a scene in a virtual space. Primitive assembly is performed on the vertices to compute projections of the vertices from virtual space onto a viewport of the scene in a screen space of a display device containing a plurality of pixels, the plurality of pixels being subdivided into a plurality of subsections. Scan conversion determines which pixels of the plurality of pixels are part of each primitive that has been converted to screen space coordinates. Coarse rasterization for each primitive determines which subsection or subsections the primitive overlaps. Metadata associated with the subsection a primitive overlaps determines a pixel resolution for the subsection. The metadata is used in processing pixels for the subsection to generate final pixel values for the viewport of the scene that is displayed on the display device in such a way that parts of the scene in two different subsections have different pixel resolution.

Abstract: A system for editing preview images. The system includes at least one source end, a control terminal and at least one display end. The control terminal is coupled between the source end and the display end. The source end provides at least one image. The control terminal provides a user interface. The control terminal includes an image capture module, a previewing module and a media parameter module.

Abstract: The present invention is provided with a boundary calculation unit (110) to calculate a boundary position (180) being a basis for dividing a common area into a side of the first imaging device (210) and a side of the second imaging device (220), a selection unit (130) to select a bird's-eye view image wherein distortion in an image of a three-dimensional object is less as a selected image (330), out of the first bird's-eye view image (311) and the second bird's-eye view image (321) based on the boundary position (180) and a position of the three-dimensional object, and an image generation unit (140) to generate an area image (340) based on an image other than the common area in the first bird's-eye view image (311), an image other than the common area in the second bird's-eye view image (321), and an image of the common area included in the selected image (330).

Abstract: A video distribution device includes: an acquisition unit for acquiring multiple videos of the same object shot from different angles; a storage unit for associating a still image for a predetermined duration of time extracted from each of the multiple videos with information indicating an angle at which the corresponding video is shot, and storing the associated still image in a chronological order; a reception unit for receiving an angle for viewing the object designated via an information processing terminal; and a control unit for performing a control in which each time the reception unit receives the designated angle, a still image corresponding to the angle is obtained from the storage unit, and the still image corresponding to the angle is transmitted to the information processing terminal in the chronological order where the still image is stored.

Abstract: Methods and apparatus are disclosed for reducing an amount of fixed pattern noise from sequential frames captured by IR imaging sensor(s) that contain known continuous motion component(s). Improved scene based non-uniformity correction techniques are employed for recursively updated set of pixel correction terms for each frame, in order to generate corrected frames. The set of pixel correction terms may be recursively updated through a multi-step process making use of the known continuous motion component, which may comprise a dithered signal.

Abstract: An image processing method includes the steps of: generating, based on data of a plurality of images acquired by performing imaging using a same image sensor, a weight coefficient corresponding to each image so that a weight coefficient corresponding to an image of which a brightness change is smooth is relatively large; integrating the data of the plurality of images using the weight coefficients to generate data of an integrated image; applying smoothing to the data of the integrated image to generate data of a smoothed integrated image; and generating, based on the data of the integrated image and the data of the smoothed integrated image, data of estimated fixed-pattern noise which is an estimated value of fixed-pattern noise attributable to the image sensor.

Abstract: Some embodiments include determining a value of an identified pixel of a plurality of pixels of an image from a detector; determining a noise value based on the value of the identified pixel and the detector; determining a range based on the noise value and the value of the identified pixel; comparing the range and a value of at least one pixel of the pixels other than the identified pixel; and adjusting the value of the identified pixel in response to the comparison.

Abstract: Several implementations relate, for example, to depth encoding and/or filtering for 3D video (3DV) coding formats. A sparse dyadic mode (308) for partitioning macroblocks (MBs) along edges in a depth map is provided as well as techniques for trilateral (or bilateral) filtering of depth maps that may include adaptive selection between filters sensitive to changes in video intensity and/or changes in depth. One implementation partitions a depth picture, and then refines the partitions based on a corresponding image picture. Another implementation filters a portion of a depth picture based on values for a range of pixels in the portion. For a given pixel in the portion that is being filtered, the filter weights a value of a particular pixel in the range by a weight that is based on one or more of location distance, depth difference, and image difference.

Abstract: Method and system for denoising an edge in a raw digital image are described. First, a direction of a normal to the edge near a pixel p is determined, and neighboring pixels are projected to the normal to the edge, forming projected pixels. Then weighted intensities of the neighboring pixels are determined, including set of weights. One dimensional Gaussian filter centered on the pixel p and acting on the projected pixels is applied, and intensities of the neighboring pixels are adjusted according to the set of weights, resulting in a denoised value z of the pixel p using the weighted intensities, thereby denoising the edge of the raw image expediently.

Abstract: An image processing method includes correcting a target image based on an initial distortion coefficient to obtain a first corrected target image, performing straight-line fitting on a first border line in the first corrected target image to calculate a first distortion metric value and a correction distortion coefficient, correcting the target image based on the correction distortion coefficient to obtain a second corrected target image, performing straight-line fitting on a second border line in the second corrected target image to calculate a second distortion metric value, detecting whether a preset correction condition is satisfied based on at least one of the first distortion metric value or the second distortion metric value, and configuring the correction distortion coefficient as the initial distortion coefficient if the preset correction condition is not satisfied.

Abstract: An image processing apparatus includes: a contrast correcting unit which creates a contrast-corrected image in which contrast of an input image photographed by an in-vehicle camera that is mounted to a vehicle is corrected; a color analyzing unit which creates a color-corrected image in which a color of the input image is corrected; an object detecting unit which detects a first target object included in the input image based on the contrast-corrected image, and which detects a second target object included in the input image based on the color-corrected image; and an object association analyzing unit which recognizes the first target object and the second target object based on a time series association between the first target object and the second target object detected by the object detecting unit.

Abstract: A method of reducing purple fringing in images captured by a camera, comprises: acquiring a raw image of a scene with an image sensor of the camera, demosaicing the raw image, and applying an adjusted color correction matrix to the demosaiced raw image. The adjusted color correction matrix is deduced by calibrating the spectral response of the image sensor to a color rendition chart to which the color data of a purple fringe has been added, and furthermore the color correction matrix is adjusted such that the image sensor response for color values of the purple fringe is transformed into color values of a predetermined replacement color following application of the color correction matrix.

Abstract: A location identifying device includes an image data receiving part that receives data of a photographed image of a field taken from the air, and a location data receiving part that receives data of location, which is measured on the basis of navigation signals from a navigation satellite by a location measuring device while a mobile body having the location measuring device moves along a predetermined path set for the field. The location identifying device also includes a first shape data detecting part that detects a shape of the predetermined path from the photographed image data, a correspondence relationship determining part that determines a correspondence relationship between the shape of the path detected by the first shape data detecting part and the location data, and a field location identifying part that identifies a location of the field contained in the photographed image by referring to the determined correspondence relationship.

Abstract: An inspection system is provided with an inspection device configured to examine the external features of an object; and a control device for controlling the inspection device; the inspection device including: a substantially column-shaped first barrel that includes a first through hole configured for an object to pass therethrough; and a plurality of imaging units provided on the inner peripheral surface which forms the first through hole in the first barrel; and the control device including: an image processing unit configured to process an image captured and output by each of the imaging units for the purpose of inspection.

Abstract: A tower inspection system (100) includes an unmanned aircraft such as a drone (101). The drone includes one or more processors (105) operable with an image capture device (108) and a propulsion system (106). The propulsion system can navigate the unmanned aircraft about a wireless communication tower (300) along a flight path (321). The image capture device can capture one or more video images of identifying information (305) identifying the wireless communication tower disposed on an identification sign (304) prior to capturing other video images of one or more Radio Antenna Devices (RADs) (308,309,310,311) coupled to the wireless communication tower to make review of inspections faster and more efficient. Measurements of RADs can also be taken.

Abstract: The purpose of the present invention is to provide a pattern measurement apparatus that appropriately assesses patterns formed by patterning methods for forming patterns that do not exist on photomasks. In order to achieve this purpose, the present invention provides a pattern measurement apparatus comprising a processor that measures the dimensions of patterns formed on a sample by using data acquired by irradiating the sample with a beam, wherein the processor extracts pattern coordinate information on the basis of the data acquired by irradiating the sample with a beam, and uses the coordinate information to generate measurement reference data used when performing dimension measurements of the pattern.

Abstract: An image inspection apparatus is provided with an image sensing unit, a determination unit, and a reference image generation unit. The image sensing unit captures an inspection target. The determination unit takes a difference between a reference image that includes a solid image of the inspection target and a captured image that is captured of the inspection target. The determination unit thereby extracts an image that is not included in an image of the inspection target in the reference image, and determines the quality of the inspection target based on the extracted image. The reference image generation unit generates the reference image that is used by the determination unit by performing predetermined image processing to change to an image showing the inspection target that is included in the captured image into a solid image.

Abstract: A system and method for remotely supervising and verifying pharmacy functions performed by a non-pharmacist at an institutional pharmacy. The institutional pharmacy and a remotely located pharmacist are linked via wired and/or wireless telecommunication systems in a manner that enables the pharmacist to remotely supervise and verify the correct performance of pharmacy functions by non-pharmacist personnel. Images of the pharmacy work performed may be captured using any of a number of types image capture devices. Captured images and corresponding documentation may be transmitted from institutional pharmacy to the remotely located pharmacist, either directly or via a web site accessible to both. After verifying that the pharmacy work was correctly performed, the remote pharmacist may provide the institutional pharmacy with an initialed copy the captured image(s), or other documentation, indicating such verification.

Abstract: A medical image data processing system comprises processing circuitry configured to receive a three-dimensional medical imaging data set, process the three-dimensional medical imaging data set to determine a curved plane that has a shape representative of a shape of at least one anatomical structure, wherein the at least one anatomical structure comprises a plurality of sub-structures, and obtain an image based on values of the medical imaging data set at a plurality of sample points of the curved plane.

Abstract: A method is for determining a respiratory phase is based on receiving tomographic raw data on the basis of a spiral scan of an examination region of a patient, the examination region including at least part of the torso and/or abdomen of the patient. Slice image pairs are reconstructed on the basis of the tomographic raw data, wherein a slice image pair includes two slice images having a first interval at an identical position along a predefined axis. The position refers to the position of the examination region. This enables determining of differences between reference positions of the examination region in two slice images respectively of a slice image pair and determining a respiratory phase on the basis of the differences. The differences correspond in each case to the change in the anatomy of the examination region, wherein this change occurs during the first interval.

Abstract: An apparatus and related method for processing image data supplied by a scanning phase contrast or dark-field imaging apparatus (MA). Beam hardening artifact in phase contrast and dark-field imaging can be reduced by applying a beam hardening processing operation by a beam hardening processing module (BHC) in respect of a plurality of detector readings that contribute signals to the same image pixel position or geometric ray of an imaging region of the apparatus (MA). In one embodiment, a phantom body (PB) is used to acquire calibration data on which the beam hardening processing is based.

Abstract: A matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set.

Abstract: An image processing apparatus includes a display configured to display a medical image; an input unit configured to receive n (n being an integer equal to or greater than three) number of input points with respect to the displayed medical image; and a controller configured to set a window in the medical image based on an area in a shape of a polygon, the area being defined by the input points, and to perform image processing of reducing at least one of brightness and definition of the medical image in a remaining area except for an area of the window.

Abstract: A method of analyzing and assessing an image comprises the steps of: (a) obtaining said image in a digital form; (b) processing said image; and (c) establishing at least one edge line within said image. The step of processing said image further includes: (a) building a 3D graph of intensity distribution within said image; (b) calculating identifying vector angle values (IVAVs); said angles adjoin to points of said 3D intensity distribution graph which correspond to individual pixels of said image; said angles lie in a plane defined by an intensity axis of said image; (c) setting a range of lower and upper thresh-hold level values (THLV1 and THLV2) between which edge points are indicatable; and (d) indicating edge points according to said THLV1 and THLV2.

Abstract: The present invention relates to a system (1) for adaptive segmentation. The system (1) comprises a configurator (10), which is configured to determine an adapted angular range (AR) with respect to an operation mode of the system (1) and which is configured to determine a segmentation parameter (SP) based on the adapted angular range (AR). Further, the system comprises an imaging sensor (20), which is configured to acquire images (I1, . . . , IN) within the adapted angular range (AR). Still further, the system comprises a segmentator (30), which is configured to generate a segmentation model based on the acquired images (I1, . . . , IN) using the determined segmentation parameter (SP).

Abstract: Provided are a method and device for generating metadata including frequency characteristic information of an image. Pixel values of a current block among blocks divided from the image are converted into frequency coefficients in the frequency domain. A band value of a frequency band corresponding to each of regions of the current block is determined using the frequency coefficients included in the regions of the current block, the regions of the current block being divided to correspond to different frequency bands. Metadata including the frequency characteristic information of the current block is generated based on the determined band values.

Abstract: A method for image segmentation includes acquiring a three-dimensional (3D) image that includes a plurality of two-dimensional (2D) images arranged in a spatial order. The method also includes determining a preliminary seed point in a first 2D image of the plurality of 2D images. The method further includes determining, based on the preliminary seed point, a final seed point in a second 2D image of the plurality of 2D images, and determining, based on the final seed point, a volume of interest (VOI) in the 3D image.

Abstract: The present disclosure relates to a method, system and non-transitory computer readable medium. In some embodiments, the method includes: acquiring a plurality of image slices related to a vertebral column, the vertebral column including a plurality of vertebrae; obtaining a classifier for verterbrae identification; identifying, by a processor, one or more vertebral foramina in the plurality of image slices using the classifier; and determining, by the processor, the plurality of vertebrae based on the one or more vertebral foramina.

Abstract: Dimensioners and methods for dimensioning an object includes capturing, using a dimensioning system with a single sensor, at least one range image of at least one field-of-view, and calculating dimensional data of the range images and storing the results. Wherein, the number of views captured of the object is automatically determined based on one of three modes. The first mode is used if the object is a cuboid, or has no protrusions and only one obtuse angle that does not face the point of view, where it captures a single view of the object. The second mode is used if the object includes a single obtuse angle, and no protrusions, where it captures two views of the object. The third mode is used if the object includes a protrusion and/or more than one obtuse angle, overhang, protrusion, or combinations thereof, where it captures more than two views of the object.

Abstract: An original image is acquired, where the original image comprises a target image. Image compression processing is performed on the original image according to a preset compression ratio, and a low-pixel image is created based on the image compression processing. Borderlines of the target image in the low-pixel image are determined. The determined borderlines of the low-pixel image are mapped into the original image, and a target image is created from the original image.

Abstract: Image scene labeling with 3D image data. A plurality of pixels of an image frame may be label based at least on a function of pixel color and a pixel depth over the spatial positions within the image frame. A graph-cut technique may be utilized to optimize a data cost and neighborhood cost in which at least the data cost function includes a component that is a dependent on a depth associated with a given pixel in the frame. In some embodiments, in the MRF formulation pixels are adaptively merged into pixel groups based on the constructed data cost(s) and neighborhood cost(s). These pixel groups are then made nodes in the directed graphs. In some embodiments, a hierarchical expansion is performed, with the hierarchy set up within the label space.

Abstract: A process to isolate objects of interest in an image uses a model which takes into account the artifacts stemming from the JPEG compression. The pixels are sorted accordingly to layers which regroup pixels of similar value, and the background is modeled by a polygon from an additional picture. Segmentation based on the knowledge of the background and the layers is then performed. This method provides good results for segmentation, while being sufficiently fast to be implemented for real time application.

Abstract: An image processing apparatus includes an obtaining unit configured to obtain a moving image, a detection unit configured to detect a detection target object from an interest image frame in the moving image, a tracking unit configured to obtain a tracked object in a neighborhood region of a detection position of the detection target object in an image frame preceding the interest image frame in the moving image, and a determination unit configured to determine whether or not the tracked object corresponds to the detection target object by integrating a position where the detection target object is detected by the detection unit and a position where the tracked object is obtained by the tracking unit.

Abstract: Method for monitoring positioning of patient's teeth including the following steps: a) less than three months after the end of an orthodontic treatment, producing an initial reference model of the patient's arches, and, each tooth, defining, from the initial reference model, tooth model; b) acquiring at least one updated image of the arches, under actual acquisition conditions; c) analyzing each updated image and producing, for each updated image, an updated map relative to a piece of discriminating information; d) optionally determining, for each updated image, rough virtual acquisition conditions that approximate actual acquisition conditions; e) searching each updated image for a final reference model corresponding to the teeth positioning during acquisition of the updated image, and; f) for each tooth model, comparing tooth model positions in the initial reference model and in reference model obtained at the end of the preceding steps, in order to determine the movement of the teeth between steps a) and b

Abstract: The present invention relates to a method for implementing a human skeleton tracking system based on depth data, specifically applied to a human skeleton tracking system based on depth data which is composed of a data acquisition unit, a limb segmentation unit, a skeleton point unit, and a tracking display unit. The units are in a relationship of sequential invocation. The limb segmentation unit uses scene depth data obtained after processing by the data acquisition unit to perform limb segmentation. The skeleton point unit uses the result obtained after segmentation by the limb segmentation unit to compute specific positions of respective skeleton points of a limb. The tracking display unit uses the positions of the skeleton points computed by the skeleton point unit to establish a skeleton model of the human body and perform tracking display.

Abstract: Sharing video footage recorded by audio/video (A/V) recording and communication devices, such as video doorbells and security cameras. When an A/V recording and communication device records video footage of suspicious activity, or even criminal activity, a user viewing the footage may alert his or her neighbors by sharing the video. In various embodiments, the user may share the video with anyone of the user's choosing, including neighbors, friends, and family.

Abstract: An image processing apparatus obtains a first image and a second image obtained by imaging an object under different conditions, obtains a region of interest in the first image, obtains a first deformation displacement field between the first image and the second image, approximates the first deformation displacement field in the region of interest using an approximation transformation model of a degree of freedom lower than that of the first deformation displacement field, thereby generating an approximated displacement field, generates, concerning the region of interest, corresponding information between the first image and an image obtained by displacing the first image based on the approximated displacement field, and obtains a second deformation displacement field between the first image and the second image using the corresponding information.

Abstract: In one embodiment, an ultrasonic diagnostic apparatus includes memory circuitry configured to store a program and processing circuitry configured, by executing the program, to perform alignment between one of live images and one of reference images. The live images include a fundamental image and a harmonic image both of which are acquired by contrast imaging, the reference images are acquired prior to the live images, and the alignment is performed by using the fundamental image as one of the live images.

Abstract: Methods and systems are disclosed for deriving quantitative measurements of an imaged material using plenoptic imaging. In one or more embodiments, image data is generated by a plenoptic camera having a filter configured to transmit a plurality of different spectra in different regions of the filter. A set of plenoptic image data is produced by determining respective sets of pixels in the image data corresponding to the different regions of the filter and determining light intensities of the plurality of different spectra for respective super-pixel groups of the pixels in the image data. One or more additional quantitative measurements of an imaged material are then derived from a comparison of the determined light intensities of two or more of the plurality of different spectra.

Abstract: Techniques for analyzing images of pests using a mobile device application are described. A mobile computing device may receive, via a graphical user interface (GUI), location information input corresponding to a location of a glueboard, an identification input of a pest type caught on the glueboard, and an image of the glueboard. The device may analyze white and dark areas of the image to determine at least one of: 1) total dark surface area of the glueboard and 2) number and size of multiple contiguous dark surface areas of the glueboard. The device may calculate a quantity of pests based on dark surface area and an average size of the pest. The device may output the quantity of pests to the GUI.

Abstract: Methods for annotating objects within image frames are disclosed. Information is obtained that represents a camera pose relative to a scene. The camera pose includes a position and a location of the camera relative to the scene. Data is obtained that represents multiple images, including a first image and a plurality of other images, being captured from different angles by the camera relative to the scene. A 3D pose of the object of interest is identified with respect to the camera pose in at least the first image. A 3D bounding region for the object of interest in the first image is defined, which indicates a volume that includes the object of interest. A location and orientation of the object of interest is determined in the other images based on the defined 3D bounding region of the object of interest and the camera pose in the other images.

Abstract: A corneal reflection position estimation system according to an embodiment includes: an image acquisition unit configured to continuously acquire an image of an eye of a subject by controlling a camera equipped with a light source, the image acquisition unit being configured to acquire a plurality of pupil images taken by using light from the light source and then acquire one unilluminated image taken without using light from the light source; and an estimation unit configured to calculate positions of corneal reflection or corneal sphere centers, which correspond to the plurality of pupil images, as reference positions, calculate a movement vector of the corneal reflection or the corneal sphere center based on a plurality of the reference positions, and estimate the corneal reflection position in the unilluminated image based on at least the movement vector.

Abstract: An image processing apparatus that calculates three-dimensional information on a subject by a corresponding point search by taking one of three or more disparity images including the common subject to be a base image and one of the disparity images other than the base image to be a reference image, and includes: a search unit configured to search corresponding points base on an evaluation value in relation to a luminance gradient on an epi-polar line in each of the disparity images other the base image.