Abstract: Methods and systems are disclosed for frequency-domain amplitude normalization for symbol correlation in multi-carrier communication systems. Digital samples associated with input signals received from a communication medium are processed using a Fast Fourier Transform (FFT) to generate complex frequency components. Each complex frequency component is normalized with respect to its amplitude, and the frequency-domain, amplitude-normalized frequency components are multiplied with frequency components for reference symbol(s) to generate frequency-domain correlation values. These frequency-domain correlation values are analyzed to determine if a correlation exists between the amplitude-normalized frequency components and the predetermined reference frequency components. A correlation detection output is then generated that indicates whether or not a symbol synchronization was achieved.

Abstract: A method is disclosed for processing measurement data from perfusion computed tomography, in which both perfusion parameters, in order to calculate which arterial and venous TACs are generated, and dynamic CTA images are generated from the measurement data. In at least one embodiment of the proposed method, averaging is performed over the dynamic CTA images from a plurality of temporally successive time phases in order to obtain averaged CTA images, wherein the time phases over which averaging is performed are determined from the arterial or venous TAC(s). In some cases, the method can dispense with an additional static CTA and so the amount of the injected contrast agent and the radiation dose can be reduced.

Abstract: Systems and methods for determining an inventory condition of objects based on captured images are described. An exemplary inventory control system or method utilizes a highly efficient and economical approach to apply suitable imaging parameters for capturing images of a storage drawer being accessed by a user, or for manipulating the captured images of the drawer. An inventory condition of the drawer is determined based on the captured images or manipulated images.

Abstract: In embodiments of spatially coherent nearest neighbor fields, initial matching patches of a nearest neighbor field can be determined at image grid locations of a first digital image and a second digital image. Spatial coherency can be enforced for each matching patch in the second digital image with reference to respective matching patches in the first digital image based on motion data of neighboring matching patches. A multi-resolution iterative process can then update each spatially coherent matching patch based on overlapping grid regions of the matching patches that are evaluated for matching regions of the first and second digital images. An optimal, spatially coherent matching patch can be selected for each of the image grid locations of the first and second digital images based on iterative interaction to enforce the spatial coherency of each matching patch and the multi-resolution iterative process to update each spatially coherent matching patch.

Abstract: A method of performing an image retargeting quality assessment comprising comparing an original image and a retargeted image in a frequency domain, wherein the retargeted image is obtained by performing a retargeting algorithm on the original image. The disclosure also includes an apparatus comprising a processor configured to perform an image retargeting quality assessment, and compare an original image and a retargeted image in a spatial domain, wherein the retargeted image is obtained by performing a retargeting algorithm on the original image, and wherein comparing the original image and the retargeted image in the spatial domain comprises comparing the original image and the retargeted image to determine an amount of shape distortion between the images.

Abstract: An image processing apparatus includes: an image processing unit that executes image processing on an input image; a point light source detection unit that detects a point light source included in the input image; a scene determination unit that determines whether or not the input image shows a vivid scene based on a detection result of the point light source detection unit and an image signal of the input image; and a control unit that controls the image processing unit to change image processing for the input image in accordance with a determination result of the scene determination unit.

Abstract: In a gesture-based system, gestures may control aspects of a computing environment or application, where the gestures may be derived from a user's position or movement in a physical space. Gesture recognition data, used to recognize gestures from captured data representative of a user's input gestures, may be evolved based on captured data from a plurality of users. A common set or default set of gesture recognition data may be evolved by selecting a plurality of users for tracking. Captured data of the plurality of users may be processed to identify input gesture data for the plurality of users, and the gesture recognition data may be evolved based on features of the input gesture data that is common to multiple users. The evolved gesture recognition data may be implemented not only for the users tracked, but for users not tracked. An identifier may identify when the evolved gesture recognition data applies and implement the evolved gesture recognition data when the identifier is present.

Abstract: An appliance control apparatus recognizes image features of an target appliance from an obtained image, calculates a degree of similarity between the image features of the target appliance and image features of a registered appliance, specifies the registered appliance corresponding to the image features in the case where the degree of similarity indicates a high similarity as the target appliance; calls up control information of the specified target appliance, and controls the target appliance.

Abstract: A system and method for comparing a text image and a character string are provided. The method includes embedding a character string into a vectorial space by extracting a set of features from the character string and generating a character string representation based on the extracted features, such as a spatial pyramid bag of characters (SPBOC) representation. A text image is embedded into a vectorial space by extracting a set of features from the text image and generating a text image representation based on the text image extracted features. A compatibility between the text image representation and the character string representation is computed, which includes computing a function of the text image representation and character string representation.

Abstract: A method for processing data includes receiving a depth map of a scene containing a human hand, the depth map consisting of a matrix of pixels having respective pixel depth values. The method continues by extracting from the depth map respective descriptors based on the depth values in a plurality of patches distributed in respective positions over the human hand, and matching the extracted descriptors to previously-stored descriptors in a database. A pose of the human hand is estimated based on stored information associated with the matched descriptors.

Abstract: An image combining device may include an image reading unit that reads an image of a first and second partial area which have a portion overlapping; a template area setting section that sets apart an area of a predetermined shape as a comparison area from the overlapping area; a calculation area setting section that selects areas of the shape corresponding to the shape of the comparison area; a correlation coefficient calculating section that calculates a correlation coefficient between each of the image data values of the multiple areas; an area identifying section that identifies, from the multiple areas, the area in which the calculation result satisfies a predetermined condition; and a combining section that combines the images of the first and second partial areas in the positional relationship in which the area identified by the area identifying section and the comparison area overlap with each other.

Abstract: An image correlation for images having speckle pattern is evaluated. Modulation transfer function (MTF) curves of speckle-pattern images captured at different times are figured out. Whether a correlation value between the MTF curves meets a threshold is checked. If the correlation value is smaller than the threshold, speckle-pattern images are re-selected for re-figuring out the MTF curves and the correlation value. Thus, error of strain and displacement for digital image correlation owing to blurring images of the on-moving target object is figured out; calculation time of the digital image correlation is reduced; and accuracy on measuring physical parameters of the target object before and after movement is improved for digital image correlation.

Abstract: Techniques for improved image disparity estimation are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an imaging management module, and the imaging management module may be operable by the processor circuit to determine a measured horizontal disparity factor and a measured vertical disparity factor for a rectified image array, determine a composite horizontal disparity factor for the rectified image array based on the measured horizontal disparity factor and an implied horizontal disparity factor, and determine a composite vertical disparity factor for the rectified image array based on the measured vertical disparity factor and an implied vertical disparity factor. Other embodiments are described and claimed.

Abstract: A method of processing image data including performing a first mapping, of a first image dataset to a first reference, performing a second mapping, of a second image dataset to a second reference, and using the first mapping and the second mapping to correlate at least one position in the first image dataset to at least one position in the second image dataset.

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: Means which enables image conversion in which a plurality of conversion results can be output without once saving all of video-image data, which has been input from image-pickup means, in a storage medium is provided. A single line memory having a plurality of lines is used while switching the role thereof for a reading use by a video-image converting means and a use for inputting image data from the image-pickup means. The image converting means obtains an input image, which is in the line memory, and carries out conversion of the input image based on a conversion specifying means interpreted by an instruction decoder.

Abstract: Systems and methods are provided for processing a set of multiple serially acquired magnetic resonance spectroscopy (MRS) free induction decay (FID) frames from a multi-frame MRS acquisition series from a region of interest (ROI) in a subject, and for providing a post-processed MRS spectrum. Processing parameters are dynamically varied while measuring results to determine the optimal post-processed results. Spectral regions opposite water from chemical regions of interest are evaluated and used in at least one processing operation. Frequency shift error is estimated via spectral correlation between free induction decay (FID) frames and a reference spectrum. Multiple groups of FID frames within the acquired set are identified to different phases corresponding with a phase step cycle of the acquisition. Baseline correction is also performed via rank order filter (ROF) estimate and a polynomial fit.

Abstract: A method comprises receiving a first frame from at least one imaging device, receiving a second frame from the at least one imaging device, analyzing at least a portion of the first frame and at least a portion of the second frame, and indicating when at least one of a zero velocity update and a zero attitude update should be performed based on at least in part on the analysis of the at least a portion of the first frame and the at least a portion of the second frame. The first frame is captured at a first vantage point and the second frame is captured at a second vantage point.

Abstract: A computer-implemented method for processing one or more video frames may include obtaining one or more video frames; generating one or more blobs using the one or more video frames; classifying the one or more blobs to produce one or more classified blobs, wherein the one or more classified blobs include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing a list of detected targets based on the one or more classified blobs.

Abstract: Methods, systems, and media for image processing using hierarchical expansion are provided. More particularly, the hierarchical expansion can include a merge expansion and/or a refine expansion. In some embodiments, a method for image processing, comprising: receiving a plurality of images, wherein each of the plurality of images has one of a plurality of resolutions; for a first image from the plurality of images that has a first resolution, determining a first set of labels corresponding to each pixel of the first image; and for a second image from the plurality of images that has a second resolution, generating a second set of labels corresponding to each pixel of the second image based on the first set of labels.

Abstract: Embodiments of the present invention provide for improved timing control in 2-D image processing to maintain a constant rate of fetches and pixel outputs even when the processing operations transition to a new line or frame of pixels. A one-to-one relationship between incoming pixel rate and outgoing pixel rate is maintained without additional clock cycles or memory bandwidth as an improved timing control according to the present invention takes advantage of idle memory bandwidth by pre-fetching a new column of pixel data in a first pixel block of a next line or frame while a new column of an edge pixel block on a current line is duplicated or zeroed out. As the edge pixel block(s) on the current line are processed, the data in the first pixel block of the next line or frame become ready for computation without extra clock cycles or extra memory bandwidth.

Abstract: An image capturing apparatus includes: an imaging element; a main lens that condenses light from a subject toward the imaging element; a micro lens array that is configured by a plurality kinds of micro lenses with different focal lengths that is disposed between the imaging element and the main lens and causes light transmitted through the main lens to form an image on the imaging element; and a CPU that, in response to receiving a designation of a distance to a side of a subject that is photographed, performs weighting for each image that is imaged by the plurality kinds of micro lenses of the imaging element based on the distance so as to constitute one captured image.

Abstract: An apparatus, system, and method are disclosed for simulating physical movement of a digital image. The apparatus includes an input receiving module, a calculation module, and a output module. The input receiving module is configured to receive a position input identifying a physical unit of measure. The calculation module is configured to correlate the physical unit of measurement to a position of a image positioning coordinate. The output module is configured to output the position of the image positioning coordinate.

Abstract: A method for classifying a video regarding a subjective characteristic, the method comprising: measuring a plurality of basic features (11) per frame thus obtaining a plurality of basic features measurements; creating a plurality of second-level features by pooling (12) said basic features (11) measurements using a plurality of statistics of said basic features measurements in a determined period of time of footage; creating a plurality of video features by pooling (13) said plurality of second-level features using a plurality of statistics of said second level features along the duration of the video; choosing at least one video feature of said plurality of video features for classifying a video regarding a subjective characteristic.

Abstract: A method for the alignment of pairs of complex images of a region, such as may be produced by separate passes of a synthetic aperture radar, is disclosed. The method selects a subset of each image in the form of a plurality of tiles, and calculates a correlation value between corresponding pairs of tiles. Shifts in x and y for each pair where the correlation value exceeds a threshold are then used to calculate values for overall shift, stretch and shear to be applied to one of the images to align it with the other. An iterative least squares approach may be used. As both phase and amplitude information is used in the correlation the technique is suitable for aligning images having little intensity variation. The invention may be used to align images prior to coherent change detection analysis of the images.

Abstract: The present invention relates to the acquisition of tilted series images of a minute sample in a short time. The present invention relates to: measuring in advance the relation between an amount of focus shift and a degree of coincidence at the time of acquiring tilted series images; calculating backwards a focus shift from the degree of coincidence on the basis of this relation; correcting the focus shift by controlling a stage, an objective lens, and the like; and thus acquiring the tilted series images. In addition, the present invention relates to: acquiring a reference image in advance at the time of photographing the tilted series images; obtaining the correlation between an acquired image and the reference image; and performing, if the degree of coincidence is equal to or smaller than a set value, processing such as the transmission of a warning message and the stop of an image acquisition sequence.

Abstract: A method of analyzing a structure-of-interest (SOI) in a patient. The method includes obtaining a first medical image of a patient. The first medical image includes an identified structure-of-interest (SOI). The identified SOI has a corresponding local measurement. The method also includes receiving a second medical image of the patient and selecting an SOI in the second medical image. The selected SOI has a corresponding local measurement. The method also includes automatically determining that the selected SOI is the identified SOI based on corresponding location data of the identified and selected SOIs, respectively, and linking the local measurements of the selected and identified SOI.

Abstract: An image analysis method includes acquiring images of spatially different analysis regions. Each of the images of the analysis regions is constituted by pixels including a plurality of data acquired simultaneously or time-serially. The method further includes obtaining a cross-correlation between two analysis regions by using data of pixels of images of the analysis regions.

Abstract: A method of reconstructing a three-dimensional (3D) facial shape with super resolution even from a short moving picture having a front facial image by acquiring a super-resolution facial image by applying, as a weighting factor, a per-unit-patch similarity between a target frame and frames remaining after excluding the target frame from among a plurality of continuous frames including the front facial image, and reconstructing the 3D facial shape based on the acquired super-resolution facial image.

Abstract: An image evaluation device includes: a partial area extracting section extracting plural partial areas from an original image; an extracted image generating section generating an extracted image corresponding to each of the partial areas and having pixels whose pixel values correspond to a gradient of pixel values in the image; an autocorrelation calculating section calculating plural autocorrelation coefficients for each extracted images; a representative coefficient value calculating section calculating a representative coefficient value for each of the autocorrelation coefficients among the partial areas; and a checking section checking the quality of the image based on a distribution of the representative coefficient values.

Abstract: A method for improving repeatability in edge location measurement results of a machine vision inspection system comprises: placing a workpiece in a field of view of the machine vision inspection system; providing an edge measurement video tool comprising an edge-referenced alignment compensation defining portion; operating the edge measurement video tool to define a region of interest of the video tool which includes an edge feature of the workpiece; operating the edge measurement video tool to automatically perform scan line direction alignment operations such that the scan line direction of the edge measurement video tool is aligned along a first direction relative to the edge feature, wherein the first direction is defined by predetermined alignment operations of the edge-referenced alignment compensation defining portion; and performing edge location measurement operations with the region of interest in that position.

Abstract: In an imaging device having an objective and a stage for holding a sample to be imaged, a method for autofocusing is presented. The method includes determining a measured focus value corresponding to at least a first of a plurality of logical image segments. Further, the method includes imaging the first logical image segment using the measured focus value. The method also includes determining a predicted focus value for a second of the plurality of logical image segments using the measured focus value and a stored focus variation parameter. In addition, the method includes imaging the second logical image segment using the predicted focus value.

Abstract: Methods and apparatus for disparity map correction through statistical analysis on local neighborhoods. A disparity map correction technique may be used to correct mistakes in a disparity or depth map. The disparity map correction technique may detect and mark invalid pixel pairs in a disparity map, segment the image, and perform a statistical analysis of the disparities in each segment to identify outliers. The invalid and outlier pixels may then be corrected using other disparity values in the local neighborhood. Multiple iterations of the disparity map correction technique may be performed to further improve the output disparity map.

Abstract: The invention relates to a method which uses a series of images sensed by an image sensor including at least one preceding image and one following image to estimate movement. A first estimated movement is initially obtained by estimating the total movement from the preceding image to the following image. Next, an image compensated according to the first estimated movement is obtained from either one of the preceding and following images. Then, a second estimated movement is obtained by estimating dense movement between the compensated image and the other from the preceding and following images. Next, a residual value of global movement is determined. Finally, if the residual value is lower than a threshold value the second estimated movement is provided; otherwise, the preceding steps are repeated.

Abstract: Taking a digital implant or abutment level digital impression by means of intra-oral, computed tomography or other imaging method provides the restorative doctor and laboratory accurate and effective data for determining the implant position, angulation and locking feature orientation without a physical impression. Such data is correlated with a digital library to produce an output which enables design and fabrication of an accurate restorative device such as a prosthetic tooth or crown. In this way the time-consuming, costly and error prone mechanical replication of the relevant dental anatomy is obviated.

Abstract: Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading.

Abstract: A two level cross-correlation based system for watermarking continuous digital media at the system application level. It is a post-compression process for watermarking where no a priori knowledge of the underlying compression algorithm is required. Per each compressed media frame, a current unique digital signature is generated based on the data from the current compressed frame plus the digital signature that has been previously generated. The signature thus generated is then used in conjunction with the next compressed frame to generate the next unique digital signature. All digital signatures are correlated according to the above process until a “reset” signal is issued. A new chain of correlated digital signatures is produced by the system with a predetermined initial signature.

Abstract: A method of selecting an optimal window length in a digital processing system includes receiving a digital signal and analyzing the signal with a group of Hanning windows having different sizes. The windows being arranged so that they can be scaled to be comparable. The digital signal is windowed with each selected window and a transform is computed. The transformed signal is scaled and corrected. A metric is computed from the resulting signal for each window. The metrics are compared and the window size is selected based on agreement with a user defined metric. The specific window function, shift and scaling are such that the resulting analysis is mathematically equivalent across different window sizes.

Abstract: A display test apparatus includes a determination information storage unit that stores a determination information for use in determining correctness of content displaying, a file acquisition unit that acquires a file, a content image creation unit that creates an image of content to be displayed on the basis of the file, a content image analysis unit that analyzes a displaying of the content on the basis of the image of content, a determination unit that determines whether the content is correctly displayed on the basis of the determination information and a result of the analysis by the content image analysis unit, and an output unit that outputs a determination result information indicating a result of the determination by the determination unit.

Abstract: The invention relates to a method for positionally correlating, with computer assistance, patient image information included in image data generated by a magnetic resonance scanner and fiducial patient markers represented in the image data, wherein a positional relationship between the patient image information and the fiducial markers is determined by taking into consideration at least the following parameters: a) the material properties of the fiducial markers; b) image generation data included in the image data or provided with the image data; c) the resonance frequency recording mode of the magnetic resonance scanner; and d) any relative positional shift between the patient data and the fiducial markers resulting from the combination of the parameters a) to c). The invention also relates to the use of such a positional correlation in a method for registering patient image data and in a method for navigationally assisting a medical procedure.

Abstract: A speckle pattern is removed from each image such that each image obtained by a multi-resolution decomposition is decomposed into a low-band signal component, a high-band signal horizontal component, a high-band signal vertical component, and a high-band signal diagonal component, the decomposed signal components are subjected to a morphological reconstruction process, and then a multi-resolution reconstruction is performed.

Abstract: A method for processing sensor data representative of a scene of interest. A plurality of sensor data outputs representative of the scene is selected from the group consisting of visible, VNIR, SWIR, MWIR, LWIR, far infrared, multi-spectral data, hyper-spectral data, SAR data, and 3-D LIDAR sensor data. The data is input to a plurality of graphics processing elements that are configured to independently execute separate image processing filter operations selected from the group consisting of spatial filtering, temporal filtering, spatio-temporal filtering, and template matching. A cross-correlation operation is performed on the filter outputs based on predetermined filter output characteristics which may then be used to annotate the scene with regions of interest (ROI) for display to a user.

Abstract: A method of making individualized communications includes providing one or more images including each of a plurality of individuals, automatically extracting one or more individual appearance attributes for each of the individuals from the image including the individual, providing a communication that is generic to the individuals, using a processor to make an individualized communication for each of the individuals by modifying the generic communication in accordance with the one or more individual appearance attributes associated with the individual, communicating the individualized communication to a corresponding individual.

Abstract: A correlated double sampling apparatus includes a first processing unit and a second processing unit. The first processing unit is arranged for receiving a reset signal, a data signal, and a predetermined signal; obtaining a reset level of the reset signal and a first data level of the data signal in a first operation mode; and obtaining a second data level of the data signal, and comparing the second data level with the predetermined signal to generate a detection result in a second operation mode. The second processing unit is arranged for storing the reset level and the first data level in the first operation mode, and selectively correcting an output signal according to the detection result in the second operation mode, wherein the output signal is determined according to a level difference between the reset level and the first data level.

Abstract: Described is a system for multiple-object recognition in visual images. The system is configured to receive an input test image comprising at least one object. Keypoints representing the object are extracted using a local feature algorithm. The keypoints from the input test image are matched with keypoints from at least one training image stored in a training database, resulting in a set of matching keypoints. A clustering algorithm is applied to the set of matching keypoints to detect inliers among the set of matching keypoints. The inliers and neighboring keypoints in a vicinity of the inliers are removed from the input test image. An object label and an object boundary for the object are generated, and the object in the input test image is identified and segmented. Also described is a method and computer program product for multiple-object recognition in visual images.

Abstract: First and second objects are detected within an image. The first object includes first pixel columns, and the second object includes second pixel columns. A rightmost one of the first pixel columns is adjacent to a leftmost one of the second pixel columns. A first equation is fitted to respective depths of the first pixel columns, and a first depth is computed of the rightmost one of the first pixel columns in response to the first equation. A second equation is fitted to respective depths of the second pixel columns, and a second depth is computed of the leftmost one of the second pixel columns in response to the second equation. The first and second objects are merged in response to the first and second depths being sufficiently similar to one another, and in response to the first and second equations being sufficiently similar to one another.

Abstract: The method of creating image mosaics, comprising performing following operations: component elements of images are analyzed and descriptors of matching points are revealed; pair-wise comparison of descriptors is performed; descriptors are matched with final image and rotation/translation parameters are recovered; component elements one-by-one are complemented in final image, based on recovered rotation/translation parameters.

Abstract: Determining correspondence between image regions includes identifying first and second regions of visual content including pixels in a computer system. The first region includes a first patch of pixels having a first mapping to a second patch of pixels in the second region. Iterative evaluations of the first and second regions are performed, each including at least (i) a first evaluation phase selecting a best mapping for the first patch, according to a distance metric, the best mapping selected from among the first mapping and a second mapping obtained from mappings of nearby pixels, and (ii) a second evaluation phase selecting one of the best mapping and a third mapping obtained by perturbing the second mapping. A result of the iterative evaluations is recorded in the computer system that indicates a third patch of pixels in the second region identified in the iterative evaluations.

Abstract: An image comprising varying illumination is selected. Patches of pixels from among the plurality of pixels with the image are identified. Similarities between pairs of patches of pixels based on pixel intensities associated with the pairs of patches of pixels are calculated. Illumination values for the plurality of pixels within the image based on the calculated similarities between the pairs of patches of pixels is calculated. The illumination variation from the image is removed based on the calculated illumination values for the plurality of pixels within the image.

Abstract: Disclosed herein is a method of compensating a signal of an image of one screen for distortions in the horizontal and/or vertical directions of a screen of the image. The method includes the steps of: dividing one screen area of the image into a plurality of picture divisions; and detecting a movement vector of the image for each particular one of the picture divisions from information on a difference in image between the particular picture division on one of two screens and the particular division on the other of the two screens.