Abstract: In various embodiments, a dynamic range converter includes a plurality of circuits configured in a processing pipeline for operation timed by a pixel clock. The plurality of circuits include a first color space converter to convert a source color space of a source video having a source dynamic range to nonlinear color space signals. A linearizer configured converts the nonlinear color space signals to linearized color space signals having a mastering dynamic range via a piecewise linear interpolation of a transfer function. A color volume transformer applies dynamic color transform metadata associated with the source video to generate master adjusted color space signals from the linearized color space signals. A delinearizer converts the master adjusted color space signals to nonlinearized color space signals via a piecewise linear interpolation of an inverse transfer function in accordance with a display dynamic range.

Abstract: Systems, methods, and apparatus for performing queries in a graphics processing system are disclosed. These systems, methods, and apparatus may be configured to read a running counter at the start of the query to determine a start value, wherein the running counter counts discrete graphical entities, read the running counter at the end of the query to determine an end value, and subtract the start value from the end value to determine a result.

Abstract: A vertex data compression method includes: collecting a plurality of vertices as a vertex block; extracting at least one data unit array from the vertex block, wherein each data unit array is composed of data units selected from vertex components of the vertices respectively, the data units correspond to a same channel, and each data unit is smaller than one byte; and for each data unit array, checking the data units of the data unit array to select a compression algorithm, and compressing the data units of the data unit array according to the selected compression algorithm.

Abstract: Described herein are technologies that facilitate computationally low-intensity creation of additional frames in a sequence of frames created by real-time three-dimensional (3D) rendering. More particularly, the technologies described herein generate an interposed two-dimensional (2D) screen-space projection (e.g., the resulting rendered image) in between a pair of fully rendered surrounding frames in a sequence of rendered frames. The interposed 2D screen-space projection is generated based upon information derived from the pair of surrounding frames.

Abstract: There is provided an image processing apparatus including a movement amount deciding unit configured to decide a movement amount for moving a target object that is a movement target among objects included in a plurality of captured images imaged by an imaging device including optical units that have imaging ranges overlapping with each other in part on the basis of a distance from the imaging device to the target object and an angle from a reference line at a reference position of the imaging device to the target object in a manner that the plurality of captured images look like images imaged from the reference position, the imaging device using all directions as an imaging range, the plurality of captured images corresponding to the respective optical units.

Abstract: A method of reducing the size of data representing an image in a graphical display wherein the data comprises triangle strings representing polygons that form the image, includes steps to determine a size of a pixel in the image; compare the size of a pixel in the image to a narrowest dimension of a polygon that encompasses the pixel and determine a number of triangles in a triangle string that represents the polygon. If the narrowest dimension of the polygon is larger than the image size, reducing the number of triangles in the triangle string using triangle decimation and if the polygon is similar to the image size, leaving the number of triangles in the triangle string unchanged.

Abstract: An input depth map is received having less resolution than an image. From a window region about an image pixel of the image, pixels are selected having a substantially similar characteristic value as the image pixel. A reference depth value is determined for the image pixel from depth values in the input depth map which correspond to each of the selected pixels. Weights are determined for each pixel within the window region based on a difference between a depth value corresponding to each of the selected pixels and the determined reference depth value for the image pixel. A refined depth value is determined for the image pixel from a weighted sum of the depth values corresponding to each of the selected pixels. A high resolution depth map corresponding to the image is determined from the refined depth value.

Abstract: An image-pickup unit includes an image sensor and a color filter. Each filter segment of the color filter corresponds to one of a plurality of pixels of the image sensor, and the plurality of filter segments include first to Z-th (2L?1?Z?2L, where L is an integer equal to or larger than four) filter segments having spectral transmittances for transmitted wavelength bands different from each other among light from an object. Each pixel of the image sensor receives light of a plurality of wavelength bands. The plurality of filter segments are irregularly disposed.

Abstract: Techniques for animating a view of a composite image based on metadata related to the capture of the underlying source images. According to certain implementations, the metadata may include timing or sensor data collected or generated during capture of the component source images. For example, the timing data may indicate an order or sequence in which the source images were captured. Accordingly, the corresponding regions of the composite panoramic image may be panned to in sequence, for example, using the Ken Burns Effect. In another example, sensor data from gyroscopes or accelerometers may be used to simulate the movement of the image capture device used to generate the source images. In another implementation, the source images may be associated with varying focal lengths or zoom levels. Accordingly, certain implementations may vary a level zoom, based on the metadata, while panning between source photos.

Abstract: Briefly, the disclosure describes embodiments of methods or apparatuses for processing, such as smoothing, a set of labeled measurements at a variety of scale levels. In one or more non-limiting embodiments purely for illustrative purposes, relatively fine details of labeled measurements may be displayed utilizing a relatively low-scale map, such as a map showing individual towns and/or villages. For display utilizing a relatively higher scale map, such as a map showing larger geopolitical areas, for example, relatively fine details may be omitted.

Abstract: A method for image enhancement may include selecting a plurality of patches of an image and determining at least one dimensionally reduced feature for each of the plurality of patches. The system may further determine a generally closest cluster from a set of clusters for each of the dimensionally reduced features and select a corresponding set of regression coefficients for each of the set of generally closest cluster. The system may also apply the selected set of regression coefficients to a corresponding patch to enhance the image.

Abstract: A method of processing video data includes upscaling an input low resolution image to a high resolution image using a processor, detecting monotonicity in a direction normal to an edge in a low resolution neighborhood in the input low resolution image, and correcting pixels in a high resolution neighborhood of the high resolution image corresponding to the low resolution neighborhood to preserve at least some of the monotonicity.

Abstract: A method includes determining a connection line between two eyes in each piece of profile picture information by identifying profile picture information of each viewer of at least two viewers, and determining a positive direction of each connection line according to the connection line between the two eyes in each piece of profile picture information and a preset positive direction determining rule. When the positive directions of all the connection lines are the same, calculating an included angle between the positive direction of each connection line and a positive direction of a reference line, and performing averaging on all the included angles to obtain a first included angle; and determining a display mode of a screen according to the first included angle.

Abstract: Disclosed is a depth image processing apparatus based on a camera pose conversion, which includes: a depth image obtaining unit for obtaining depth images; a camera pose converting unit for converting camera poses of the depth images into a camera pose of a reference depth image; and a depth image filtering unit for filtering the reference depth image based on the depth images with converted camera poses.

Abstract: An apparatus and method for reducing noise in a depth image are provided. The method includes capturing an image, generating a depth map of the image, the depth map including depth information corresponding to at least one object included in the image, performing over-segmentation of the depth map to generate segmentation information corresponding to the image, determining at least one segment to be noise according to the over-segmentation, and deleting the segment determined to be noise.

Abstract: A group point spread function (238) for a blurry image (18) can be determined by dividing the blurry image (18) into a plurality of image regions (232), estimating a region point spread function (234) for at least two of the image regions (232); and utilizing at least two of the region point spread functions (234) to determine the group point spread function (238). The group point spread function (238) can be determined by the decomposition of the estimated region point spread functions (234) into some basis function, and subsequently determining a representative coefficient from the basis functions of the region point spread functions (234) to generate the group point spread function (238).

Abstract: The present disclosure provides computing device implemented methods, computing device readable media, and systems for motion compensation in a three dimensional scan. Motion compensation can include receiving three-dimensional (3D) scans of a dentition, estimating a motion trajectory from one scan to another, and calculating a corrected scan by compensating for the motion trajectory. Estimating the motion trajectory can include one or more of: registering a scan to another scan and determining whether an amount of movement between the scans is within a registration threshold; determining an optical flow based on local motion between consecutive two-dimensional (2D) images taken during the scan, estimating and improving a motion trajectory of a point in the scan using the optical flow; and estimating an amount of motion of a 3D scanner during the scan as a rigid body transformation based on input from a position tracking device.

Abstract: An image processing apparatus includes a processing unit configured to execute image processing on an image signal; a filtering unit configured to execute filtering processing; and a changing unit configured to, in a case where a range of a value which a predetermined color component of the image signal can take is changed from a first range to a second range narrower than the first range by the image processing, change the value of the predetermined color component of the filtered image signal based on the first range and the second range.

Abstract: Results of automatic detection of dirt or other non-steady defects in a sequence of digitized image frames can be unreliable. Here, a determination of a detection of a defective object to be replaced by a replacement pattern in a frame of a sequence of image frames as a misdetection is presented that comprises determining a value of a first similarity measure between a boundary of the detected defective object and a boundary of the replacement pattern and determining a value of a second similarity measure between the detected defective object and the replacement pattern. The detection of the defective object is determined as a misdetection if at least one of the following holds true: the value of the first similarity measure is outside of a corresponding first similarity acceptance range and the value of the second similarity measure is inside of a corresponding second similarity acceptance range.

Abstract: A camera movement correction apparatus for use in a system which detects the position of a sporting projectile within a scene, the apparatus comprising: an interface operable to receive a first and second image of the scene captured by a camera; a reference marker determiner operable to determine the position of a reference marker within the first and second image of the scene, the reference marker being static within the scene; a difference determination device operable to determine the difference between the position of the reference marker in the first and second image of the scene; and a corrective transformer operable to apply a corrective transform to the second image on the basis of said determined difference.

Abstract: An image correction apparatus for correcting distortion of an image, the image being obtained by photographing a subject, which is provided with a specifying unit for specifying a relationship in position between points on the subject in a three-dimensional space based on both a relationship in position between the points on the subject in the image in a two-dimensional space and a photographing angle relative to a surface of the subject, an obtaining unit for obtaining information of distortion of the image that is reflected by the relationship in position between the points on the subject in the three-dimensional space, specified by the specifying unit, and a correcting unit for correcting the distortion of the image based on the information of distortion of the image obtained by the obtaining unit.

Abstract: A system for automated tonal balancing, comprising a rectification server that groups and processes images for use in tone-matching and provides them to a tone-matching server, that then performs tone-matching operations on the images and provides them as output for review or storage, and methods for tonal balancing using the system of the invention.

Abstract: A method of displaying a high dynamic range image, comprising receiving the high dynamic range image, calculating a first set of tone mapping parameters as a function of the high dynamic range image, sub-sampling the first set of tone mapping parameters at a first resolution to create a first sub-sampled parameter set, creating a first tone-mapped image by processing the high dynamic range image as a function of the first sub-sampled parameter set, and displaying the first tone-mapped image. A method of composting a plurality of versions of an image to create the high dynamic range image is also disclosed such that the compositing may be modified as a function of received user input.

Abstract: A method is based on first projection data, recorded during a relative rotational movement between an x-ray source of a CT device and at least one examination object lying partly outside the field of view of the CT device. Contour data of the surface of the examination object is useable to enhance the reconstruction of the incomplete first projection data. The spatial correlation between the first projection data and the contour data is known. The first projection data is expanded by way of the contour data to modified projection data, so that the modified projection data includes information about the contour of the examination object lying outside the field of view of the CT device. In an embodiment of the inventive reconstruction of image data by way of the modified projection data, fewer or no artifacts occur by comparison with reconstruction of image data from just the first image data.

Abstract: The present invention relates to an apparatus and method for recovering images damaged by weather phenomena, including: an input unit for receiving an image; a damaged image detection unit for detecting an image damaged by weather phenomena; an image recovery unit for recovering the damaged image; and an output unit for outputting the recovered image, wherein the damaged image recovery unit can recover the contrast and/or color of the damaged image.

Abstract: An image processing apparatus includes a component acquisition unit that acquires a chromaticity component and a luminance component from each of a process target image and a reference image, a feature quantity extraction unit that extracts a feature quantity from the chromaticity component and the luminance component of each of the process target image and the reference image, a chromaticity component adjustment unit that matches the chromaticity component of the process target image to the chromaticity component of the reference image using the feature quantity of the chromaticity component, and a luminance component adjustment unit that matches the luminance component of the process target image to the luminance component of the reference image in a non-dark region other than a dark region, and reduces an amount of adjustment in the adjustment of the dark region to be smaller than an amount of adjustment applied to the non-dark region.

Abstract: An image captured with flash light and an image captured without flash light are each divided into a plurality of regions, and a luminance value is calculated for each region. Based on a ratio of a difference between the luminance value of each region in the image captured with flash light and the luminance value of the corresponding region in the image captured without flash light to the luminance value of the corresponding region in the image captured without flash light, a degree of influence of light representing the influence of light emitted by the light emitting device on the luminance value of each region in the image captured with flash light is calculated. Regions in which the degrees of influence of light are larger than a predetermined threshold are determined as illuminated regions.

Abstract: A method for preparing a spectacle frame (1) adapted to a face, the spectacle frame (1) having a bridge (11) between two optical lenses (9-10) and a surface (2) having end pieces (5-6) to which temples (3-4) are connected. The method includes providing an image of the face; identifying the characteristic points on the image of the face; identifying shape points on the image of the face; identifying the shape of the face from among predefined characteristic shapes using the shape points; determining from the characteristic points a frame of reference for receiving the surface of the spectacle frame; and determining the height position and width of the end pieces relative to the surface of the spectacle frame depending on the face shape identified.

Abstract: An information processor includes a detection unit detecting a photographic subject region of an image, a characteristic amount generation unit generating a characteristic amount including at least positional information of the photographic subject region for each of the detected photographic subject region, a combined characteristic amount generation unit generating a combined characteristic amount corresponding to the image by combining the characteristic amount generated for each of the photographic subject region, and an identification unit identifying a label corresponding to a combination of a photographic subject appearing in the image based on the generated combined characteristic amount.

Abstract: A method for inspecting connectors of multi-fiber optical cables is disclosed. The method may include receiving a plurality of images of a plurality of areas of a connector and determining, via at least a processor, matching features in two or more images according to unique visual characteristics of the images. The method further may include aligning the images, according to unique matching features of the images, and combining the images such as to obtain a combined-image of the full connector or a desired area of the connector. The combined-image of the connector may be displayed on a monitor or a display.

Abstract: The purpose of the present invention is to provide a pattern measurement device which evaluates quantitatively and with high precision random patterns such as finger print patterns. In order to fulfill this purpose, a pattern measurement device which measures the pattern on a sample on the basis of an image acquired by a charged particle beam is proposed which selectively extracts linear or linearly approximable parts of the pattern on the sample, and outputs at least one of the following: the measurement of the distance between the extracted parts, the ratio of said extracted parts in a prescribed region, and the length of said extracted parts. Further, as a more specific embodiment, a pattern measurement device is proposed which calculates a frequency depending on a distance value between extracted parts, and outputs, as a pattern distance, distance values for which said frequency fulfills a prescribed condition.

Abstract: A controller has a function that: poygonizes and converts three-dimensional volume data, which is generated by a modality, into polygon data; divides this polygon data into a plurality of clusters; calculates an L2 norm vector of spherical harmonics as a feature vector with respect to each of the clusters based on the polygon data constituting each cluster; identifies whether each cluster is a target or not, based on each calculated feature vector and learning data; and displays an image of a cluster identified as the target at least on a screen.

Abstract: Systems and methods for accelerated arterial spin labeling (ASL) using compressed sensing are disclosed. In one aspect, in accordance with one example embodiment, a method includes acquiring magnetic resonance data associated with an area of interest of a subject, wherein the area of interest corresponds to one or more physiological activities of the subject. The method also includes performing image reconstruction using temporally constrained compressed sensing reconstruction on at least a portion of the acquired magnetic resonance data, wherein acquiring the magnetic resonance data includes receiving data associated with ASL of the area of interest of the subject.

Abstract: Disclosed herein are systems and method for segmentation and identification of structured features in images. According to an aspect, a method may include representing an image as a graph of nodes connected together by edges. For example, the image may be an ocular image showing layered structures or other features of the retina. The method may also include adding, to the graph, nodes adjacent to nodes along first and second sides of the graph. The added nodes may have edge weights less than the nodes along the first and second sides of the graph. Further, the method may include assigning start and end points to any of the added nodes along the first and second sides, respectively. The method may also include graph cutting between the start and end points for identifying a feature in the image.

Abstract: The method comprising acquiring and analyzing by computer means image information of video sequences of two or more dimensions obtained from contrast-enhanced signals, for example ultrasound, coherence tomography, fluorescence images, or Magnetic Resonance Imaging, of a body part or tissue, for example of an organ, of a living subject; detecting events from said information of video sequences; selecting a Region of Interest of said body part or tissue; computing a first graph representative of a local vascular network of said image information of video sequences in which the edges of the graph are estimated by the temporal relationship among spatially remote signals of said image information of video sequences within a set of video sequences; and using said graph for assessment of vascular networks.

Abstract: An optical calibration system is configured to determine camera calibration information of a virtual reality camera. The optical calibration system comprises a light source, a first and a second planar grid, and an optical calibration controller. The light source is configured to backlight the first and the second planar grids. Each planar grid includes a plurality of fiducial markers that are backlit by the light source. The optical calibration controller determines camera calibration information of a virtual reality camera selecting and analyzing a plurality of captured images that include a portion of the first or the second planar grid with fiducial markers backlit.

Abstract: Systems and methods are disclosed for controlling image annotation. One method includes acquiring a digital representation of image data and generating a set of image annotations for the digital representation of the image data. The method also may include determining an association between members of the set of image annotations and generating one or more groups of members based on the association. A representative annotation from the one or more groups may also be determined, presented for selection, and the selection may be recorded in memory.

Abstract: A method for panorama exposure correction can begin with the receiving of a hemispherical-coverage panoramic digital image set by a panoramic image stitching system. The hemispherical-coverage panoramic digital image set can be comprised of a ceiling image and at least three side images that are all captured simultaneously. The images of the image set can be aligned to create a panoramic image. Based on the alignment, overlapping regions between two adjacent side images and the ceiling image can be identified, the placement of blending seams can be determined, and the region of each image affected by a exposure correction can be determined. The exposure correction for each identified overlapping region can be determined. The exposure of the affected region of each image can then be adjusted in accordance with the determined exposure correction. A gradient blending can be performed for a predefined area across the blending seams.

Abstract: Pet faces can be detected within an image using a cascaded adaboost classifier trained to identify pet faces with a high detection rate and a high false positive rate. The identified potential windows are further processed by a number of category aware cascade classifiers, which are each trained to identify pet faces of a particular category with a high detection rate and low false positive rate. The potential pet faces identified by the category aware classifiers may be processed to verify whether a pet's face is present or not.

Abstract: A position controller, including a moving part configured to process or measure a workpiece, a laser unit disposed on one side of the moving part and configured to radiate a laser, a mask on which a laser image is formed corresponding to the irradiated laser, and a position control unit configured to position the moving part based on information of the laser image.

Abstract: A method for detecting objects in a warehouse and/or for spatial orientation in a warehouse includes: acquiring image data with a 3-D camera which is fastened to an industrial truck so that a viewing direction of the 3-D camera has a defined horizontal angle, wherein the 3-D camera has an image sensor with sensor elements arranged matrix-like and the image data comprises a plurality of pixels, wherein distance information is assigned to each pixel, calculating angle information for a plurality of image elements, which each specify an angle between a surface represented by the image element and a vertical reference plane, determining a predominant direction based on the frequency of the calculated angle information, calculating the positions of the of the acquired pixels along the predominant direction, detecting at least one main plane of the warehouse based on a frequency distribution of the calculated positions.

Abstract: Virtual model viewing methods and apparatus are described. According to one aspect, a virtual model viewing method includes using a user device, accessing model data which may be used to generate a plurality of views of a virtual model, using a camera of the user device, generating image data of content of the physical world, and using the model data and the image data, creating one of the views of the virtual model which comprises at least some of the content of the physical world, and displaying the one view of the virtual model using a display screen of the user device.

Abstract: Systems, apparatuses, and methods are provided for determining the geographic location of an end-user device (e.g., vehicle, mobile phone, smart watch, etc.). An end-user device may collect a depth map at a location in a path network. Feature geometries may be obtained from a fingerprint database in proximity to the location in the path network. The depth map may be oriented with the feature geometries of the fingerprint. Control points from an extracted feature geometry in the depth map may be compared with control points within the fingerprint. Match rates may be calculated based on the comparison, and a geographic location of the end-user device may be determined when an overall match rate exceeds a minimum threshold value.

Abstract: The invention proposes a method for determining a number (13) of transfer objects which are moving from a first subregion (8) of an observed region (5) into a second subregion (9) of the observed region (5), wherein a succession of images of the observed region (5) is recorded which identify objects (1; 2; 3; 4) and determine positions (1b, 1c; 2a, 2b, 2c; 3a, 3b, 3c; 4a, 4b) for the objects (1; 2; 3; 4), respectively, the objects (1; 2; 3; 4) are each associated either with the first subregion (8) or with the second subregion (9) on the basis of the positions (1b, 1c; 2a, 2b, 2c; 3a, 3b, 3c; 4a, 4b) of said objects, and multiple transfers of the same object between the first subregion (8) and the second subregion (9) are taken into account when determining the number (13) of transfer objects. The invention likewise proposes an appropriate system which can be used to carry out the method, said system comprising a sensor arrangement and a computation unit connected to the sensor arrangement.

Abstract: Techniques are disclosed for performing avatar-based video encoding. In some embodiments, a video recording of an individual may be encoded utilizing an avatar that is driven by the facial expression(s) of the individual. In some such cases, the resultant avatar animation may accurately mimic facial expression(s) of the recorded individual. Some embodiments can be used, for example, in video sharing via social media and networking websites. Some embodiments can be used, for example, in video-based communications (e.g., peer-to-peer video calls; videoconferencing). In some instances, use to the disclosed techniques may help to reduce communications bandwidth use, preserve the individual's anonymity, and/or provide enhanced entertainment value (e.g., amusement) for the individual, for example.

Abstract: A three dimensional map of a designated area that includes location data and relative height data of vantage points, points of interest, and objects, within the designated area, is received. A line-of-sight view from the vantage points to the points of interest is determined by calculating an angle, a distance, and a direction between a vantage point and a point of interest based, at least in part, on the location data and relative height data associated with the three dimensional map of the designated area. Obstructions of the line-of-sight view between the vantage points and the points of interest are determined, based on the line-of-sight view, the location data, and the relative height data, and responsive to determining that the line-of-sight view is free of obstruction, identifying each point of interest viewable from each vantage points, within the designated area.

Abstract: An apparatus, system, and method are described herein. The apparatus includes an emitter and a plurality of sensors. The emitter and the sensors are asymmetrically placed in the system with respect to the emitter. Data from the emitter and sensors is used to generate a high accuracy depth map and a dense depth map. A high resolution and dense depth map is calculated using the high accuracy depth map and the dense depth map.

Abstract: Embodiments of the disclosure are directed to segmenting a digital image of biological tissue into biological units, such as cells. A first weak or data driven segmentation is generated using image data representing the digital image to segment the digital image into a first set of biological units. Applying a geometric model, each unit in the first set of biological units is ranked based on a similarity in shape and scale between the unit and one or more other units in the image. A subset of units from the first set of biological units is selected based on the rank of each biological unit relative to a predetermined threshold rank. A second weak or data driven segmentation may then be generated using image data including the subset of biological units to segment that portion of the digital image into a second set of biological units.

Abstract: A method for automatic segmentation of intra-cochlear anatomy of a patient. The patient has an implanted ear and a normal contralateral ear. At least one computed tomography (CT) image is obtained to generate a first image corresponding to the normal contralateral ear and a second image corresponding to the implanted ear. Intra-cochlear surfaces of at least one first structure of interest (SOI) of the normal contralateral ear in the first image are segmented using at least one active shape model (ASM). Next, the segmented intra-cochlear surfaces in the first image is projected to the second image using a transformation function, thereby obtaining projected segmented intra-cochlear surfaces for the implanted ear in the second image.

Abstract: A method includes generating, at an electronic device, a three-dimensional model of an object based on a sequence of images captured by an image capture device associated with the electronic device. The method further includes displaying the three-dimensional model via a display device associated with the electronic device. The method also includes, based on detecting that the three-dimensional model includes an anomaly, presenting, via the display device, one or more selectable options to enable correction of the anomaly.