Abstract: Embodiments of the invention provide techniques that quantize community interactions with social media to understand and influence consumer experiences. Embodiments include a customer predictive experience platform. The platform can include an outcome engine configured for information mining and applying rules and analytics to the information, and an ops module configured for providing agent performance management, average handling time analytics, workflow management, and voice of the customer facilities. The platform can also include a chat module, a social media dialog engine, and a solution client configured for effecting predictive self-service, active auto sentiment management and rapid response to counteract negative sentiment, a customer experience ticker, a pre- and post-launch pulse, enhanced brand ambassadors, integration into corporate messaging and marketing, a social media dashboard, and a live portal configured for social media engagement and feedback.

Abstract: Systems and methods for the forming of user device groups are presented. In one example, logical relationship information describing logical relationships among a plurality of users is accessed. Potential membership of a first user in a first group of users is determined based on scores generated for each of a plurality of possible groups of users, the scores based on the logical relationship information. Then the first user is added to the first group of users. Content from an electronic device of the first user is received for broadcast to the first group of users. In response to the receiving of content, the scores for each of the plurality of possible groups of users are regenerated based on the content. Then the first user is added to or removed from a second group of users selected from the plurality of possible groups of users based on the regenerated scores.

Abstract: A system and method for configuring an indication device is described. An on-demand service system arranges a transport service for a user to be provided by a driver. The system determines whether the user has specified an output configuration for an indication device in an account of the user. In response to determining that the user has specified an output configuration for the indication device, the system identifies data corresponding to the output configuration and transmits the data to a driver device of the driver to enable the driver device to control the indication device of the driver based on the data.

Abstract: In one example embodiment, an information processing apparatus causes a display device to display a first image in a display range. In this embodiment, the first image is from images associated with an observation target object. The images include a first image, a second image, and a third image. In response to a request to change the display range, the information processing apparatus changes the display range at a first speed, and causes the display range to display the second image. In response to a request to terminate the change of the display range, the information processing apparatus changes the display range at a deceleration speed, and causes the display range to display the third image.

Abstract: The present invention relates to a method for simulating image quality improvement of an image display device, in which the image display device to be tested is made to display an optimized picture quality with a simplified process by applying simplified simulation program and device; and a device therefor.

Abstract: Disclosed herein is a drawing processing apparatus including: a drawing library section adapted to transmit a drawing command via a network; and a data transmission management section adapted to transmit reusable data, used to execute the drawing command, via the network at a time different from when the drawing command is transmitted. Also disclosed herein is a drawing processing apparatus including: a data reception management section adapted to receive reusable data, used to execute a drawing command, via a network at a time different from when the drawing command is received; and a drawing library section adapted to set the reusable data, received by the data reception management section, in a graphics processor as a resource and adapted to receive the drawing command via the network and supply the drawing command to the graphics processor.

Abstract: A system and method uses the capabilities of a geometry shader unit within the multi-threaded graphics processor to implement algorithms with variable input and output.

Abstract: Described herein are technologies related to performing of a preemption operation in graphics hardware. Particularly, the preemption operation includes tracking of unreported or dropped workload independent of workloads submitted to the graphics hardware.

Abstract: An asynchronous medical image processing system is described that includes a real-time controller connectable to a medical imaging device, a graphics processing unit (GPU) connectable to a display device, and a central processing unit (CPU) that executes an operating system and related application(s). The real-time controller is directly connected to a memory of the GPU and performs respective operations asynchronously with respect to the CPU. The real-time controller additionally obtains medical imaging data, generates instructions for the medical imaging-data and transmits the medical imaging data and the instructions to the memory of the GPU. The GPU additionally receives and processes the medical imaging data based on the instructions from the real-time controller and instructions sent independently from the CPU.

Abstract: Methods, apparatus and articles of manufacture for graphics processing of a vertex buffer using a relative index buffer are disclosed. Example methods to process a vertex buffer disclosed herein include accessing a first relative index stored in a relative index buffer, the first relative index specifying an offset from a current index selecting a first entry of the vertex buffer. Such disclosed example methods also include, in response to the first relative index being a nonzero value, processing data associated with a second entry of the vertex buffer to determine a rasterizer output associated with the first entry of the vertex buffer, the second entry of the vertex buffer being selected using the current index offset by the first relative index.

Abstract: A processor is operable to generate a graphics data representation (GDR) for a graphic created at a first resolution and including two or more separated objects. The processor decomposes the objects into contours and determines features and control points along the contours. Additionally, the processor determines constraints for imposition upon the features and control points during scaling, where the constraints include spatial relationships between the control points. The processor stores the constraints, identifications of the features and control points, contour descriptions, and information identifying the first resolution to produce the GDR. Upon acquiring the GDR, a displaying device's processor determines a scaling value based on the first resolution and a second resolution at which the graphic will be displayed, adjusts features and control points of the contours based on the scaling value and the GDR constraints to produce a scaled graphic, and displays the scaled graphic at the second resolution.

Abstract: Provided is a transmitting apparatus including an image obtaining unit configured to obtain image data having pixel information including color information and having a first resolution, an image conversion unit configured to delete the color information of at least a portion of pixels of the obtained image data, to rearrange the pixel information of a plurality of pixels, and to convert the image data having the first resolution into image data having a second resolution lower than the first resolution, and an output unit configured to output, to a transmitter, the image data whose resolution has been converted from the first resolution into the second resolution by the image conversion unit, the transmitter having a maximum resolution of image data which the transmitter is allowed to wirelessly transmit to a receiving apparatus, the maximum resolution being the second resolution.

Abstract: A method and system are provided for image scaling including low resolution text areas. The method may include: determining one or more areas of text in an image to be scaled; scaling the one or more areas of text using two or more scaling algorithms to a required resolution to acquire two or more scaled versions of the text area; selecting the clearest text in a text area from two or more scaled versions of the text area; scaling the overall image to the required resolution; and merging the scaled overall image with the selected scaled version of each text area.

Abstract: A computer implemented method of producing output pixels for display in a graphics system, in which the steps include performing rendering operations on one or more pixels, wherein the rendering operations includes the steps of using a POI analyzer to determine one or more of: (a) whether a pixel is a POI or a pixel not of interest (PNOI); (b) selecting different resolutions for a POI and for a PNOI.

Abstract: A method and a system are described where the quality of an image can be modified, using formatted information related to the defects of the appliances of the chain of appliances. The method may include compiling directories of sources of formatted information related to the said appliances, searching automatically for this formatted information related to the appliances of the said chain of appliances, modifying the said image automatically by image-processing software or components by taking into account the formatted information. Additionally, the formatted information may be modified as a function of variable characteristics of the image to be processed and of the chain of appliances. Thus, it is possible to process the images derived from appliances that may be of diverse origins and that have been commercialized gradually over time, such as photographic or video images in optical instrumentation, industrial controls, robotics, metrology, etc.

Abstract: An image processing method, a client device, and an image processing system are provided. The method includes: detecting by a client device an image to be processed to obtain image information, and uploading the image information to a server; receiving by the client device at least one case related to the image, the at least one case being obtained by the server according to the image information and sent by the server; and processing the image by the client device according to the at least one case related to the image. The client device includes: a detection module, a receiving module, and a processing module. The system includes the foregoing client device and a server, where the server includes: a receiving module, a selection module, and a sending module. The method not only achieves simple and fast image processing but also improves adjustability during the processing process.

Abstract: In a method and a magnetic resonance tomography system, at least two temporally separate original data sets are acquired with one phase measurement value being acquired for each pixel in each original image data set. An optimization technique for the shared calculation of corrected phase values for the pixels in the data sets is implemented in a computer, wherein the corrected phase values of the pixels in a first of the data sets is in each case dependent at least on the phase measured value of the pixel at the same location in a second of the data sets which is recorded beforehand or afterwards, and the corrected phase values of the pixels in the second data set are in each case dependent at least on the phase measured value of the pixel at the same place in the first data set. Corrected image data sets are generated from the corrected phase values.

Abstract: A digital image processing technique, such as an image warping operation, is stored in a pre-computed lookup table (LUT) prior to image processing. The LUT represents a pixel-to-pixel mapping of pixel coordinates in a source image to pixel coordinates in a destination image. For vectors containing only inlier pixels, a fast remap table is generated based on the original LUT. Each SIMD vector listed in the fast remap is indexed to the coordinates of one of the source pixels that maps to one of the destination pixels in the vector. Other SIMD vectors that contain at least one outlier pixel are listed in an outlier index. For each vector indexed in the fast remap, linear vector I/O operations are used to load the corresponding source pixels instead of using scatter/gather vector I/O load operations via the LUT. The remaining outlier pixels are processed using scatter/gather I/O operations via the LUT.

Abstract: Image details are created for an image. An image is processed to obtain image information. Detected texture samples are processed to obtain texture information. A processor device is used for transforming received image information for obtaining frequency domain information. The texture information is used for determining a lifting factor. A frequency distribution is determined for the frequency domain information using the lifting factor for creating particular frequency. An inverse transformation is performed on an updated frequency distribution for creating output image blocks. The output image blocks are combined to create image details for a lifted image. The lifted image is mixed with the image.

Abstract: A restoration filter generation device that generates a restoration filter for a restoration process on the basis of a point spread in an optical system, the restoration process being performed on luminance system image data as image data concerning a luminance which is generated on the basis of image data for each color of plural colors acquired by an image pickup device having the optical system, the restoration filter generation device includes a first transfer function acquisition device, a correction information acquisition device, a second transfer function acquisition device, a third transfer function calculation device, and a restoration filter generation device that generates the restoration filter for the restoration process on the basis of the third transfer function calculated by the third transfer function calculation device.

Abstract: Some embodiments provide a novel method for tempering an adjustment of an image to account for prior adjustments to the image. The adjustment in some embodiments is an automatic exposure adjustment. The method performs an operation for a first adjustment on a first set of parameters (e.g., saturation, sharpness, luminance). The method compares the first set of parameters to a second set of parameters to produce a third set of parameters that expresses the difference between the first adjustment and a second adjustment. The method performs a third operation to produce an adjusted image. The first set of parameters quantify a set of prior adjustments to the image by an image capturing device when the image was captured in some embodiments. The second set of parameters is a set of target parameters. The third set of parameters specify the tempered adjustment of the image.

Abstract: To suppress influence of a rounding error and acquire a more highly precise filter processing result, by performing convolution processing in order from a divided filter having a smaller sum of filter coefficient among divided filters, shifting a position of the decimal point of a filter processing result in a fixed-point format to generate an intermediate image, integrating the filter processing result having a larger bit width of a decimal part, and substantially reflecting a processing result of the decimal part.

Abstract: A method adjusts an auto exposure target in an auto-exposure operation on a sequence of images, such as a sequence of infrared images. The method comprises: obtaining a histogram of at least one of the images; applying a weighted histogram table to the histogram to obtain weighted histogram bins wherein at least some bins in the histogram containing saturated pixels are assigned a higher weighting value and at least some bins in the histogram containing unsaturated pixels are assigned a lower weighting value, and summing the weighted histogram bins to obtain a saturation score and decreasing an auto exposure target for an auto exposure operation when the saturation score exceeds a first threshold value, and increasing the auto-exposure target when the saturation score is below the first threshold value and the image is underexposed.

Abstract: Deep convolutional neural networks receive local and global representations of images as inputs and learn the best representation for a particular feature through multiple convolutional and fully connected layers. A double-column neural network structure receives each of the local and global representations as two heterogeneous parallel inputs to the two columns. After some layers of transformations, the two columns are merged to form the final classifier. Additionally, features may be learned in one of the fully connected layers. The features of the images may be leveraged to boost classification accuracy of other features by learning a regularized double-column neural network.

Abstract: Systems and methods are disclosed herein to a package essence analysis method comprising receiving, by a computer, first and second video files; indexing, by a computer, the first and second video files; decoding, by a computer, a selected frame of the first video file by referencing a first frame image using the index of the first video file; decoding, by a computer, a selected frame of the second video file by referencing a second frame image using the index of the second video file; and performing, by a computer, video quality analysis by comparing the decoded selected frame of the first video file to the decoded selected frame of the second video file.

Abstract: A head section includes: a light projecting part for projecting incident light as structured illumination of a predetermined projection pattern; the image capturing part for acquiring reflected light that is projected by the light projecting part and reflected on an inspection target, to capture a plurality of pattern projected images; a distance image generating part capable of generating a distance image based on the plurality of pattern projected images captured in the image capturing part; a head-side storage part for holding the distance image generated in the distance image generating part; and a head-side communication part for transmitting the distance image held in the storage part to the controller section. The controller section includes: a controller-side communication part for communicating with the head-side communication part; and an inspection executing part for executing predetermined inspection processing on the distance image received in the controller-side communication part.

Abstract: Assembly and quality of an electronic cigarette (“e-Cig”) may be tested and verified using imaging techniques. Infrared (“IR”) imaging may identify whether a temperature is uniform in an e-Cig during usage. Potential burning locations may be identified through the imaging by identifying locations whose temperature is unusually high or non-uniform. This temperature information may be used to calibrate the power of the e-Cig.

Abstract: An image inspection apparatus for inspecting an image output on a recording medium. The image inspection apparatus includes processing circuitry that obtains data of an output-target image used by an image forming apparatus to conduct an image forming operation, generates read data from the data of the output-target image, and generates an inspection reference image from the data of the output-target image. The apparatus also performs position alignment between the read image and the inspection reference image, conducts an inspection which determines a defect in the read image based on the difference of the aligned read image and the inspection reference image, and determines whether a position alignment defect exists in the read image based on the defect detected during inspection.

Abstract: Method for detecting a surface flaw of an object using an electronic device includes requesting a detection device to control a camera unit to capture a current image of a test object placed on the detection device. The current image includes a sidewall image and a reflected image. The method obtains the current image, and detects whether the sidewall image has a surface flaw. When the sidewall image has a surface flaw, a rotation angle of the test object is determined based on the reflected image. The method obtains a standard sidewall image of a standard object stored in a storage device of the electronic device, based on the rotation angle, compares the sidewall image with the standard sidewall image, and determines and displays a position of the surface flaw on a sidewall of the test object based on the comparison.

Abstract: Methods and systems for detecting defects on a wafer are provided. One method includes acquiring output for a wafer generated by an inspection system. Different dies are printed on the wafer with different process conditions. The different process conditions correspond to different failure modes for the wafer. The method also includes comparing the output generated for a first of the different dies printed with the different process conditions corresponding to a first of the different failure modes with the output generated for a second of the different dies printed with the different process conditions corresponding to a second of the different failure modes opposite to the first of the different failure modes. In addition, the method includes detecting defects on the wafer based on results of the comparing step.

Abstract: An image processing method in an observation system 1A includes a step of acquiring a measured image G1 measured from a semiconductor device S and a first pattern image G2 showing a pattern of the semiconductor device S corresponding to the measured image G1, a step of acquiring a second pattern image G3 showing a pattern of the semiconductor device S, a step of acquiring matching information indicating a correlation of the first pattern image G2 and the second pattern image G3 based on the first pattern image G2 and the second pattern image G3, and a step of superimposing the second pattern image G3 and the measured image G1 based on the matching information to acquire a superimposed image G4.

Abstract: Methods, systems, and computer readable media are disclosed for determining a pixel-to-length ratio between a number of pixels disposed over a predetermined length of a reference object within an image of a siding sample and the predetermined length of the reference object. A first and second distance between respective first and second pairs of points within the image corresponding to respective first and second length measurements of the siding sample are determined, as well as a first and second number of pixels disposed between the first and second pair of points, respectively. Furthermore, the method, system, and computer readable medium disclose determining the first length measurement based on the pixel-to-length ratio and the first number of pixels, determining the second length measurement based on the pixel-to-length ratio and the second number of pixels, and identifying a siding product associated with the first and second length measurements.

Abstract: An image processing apparatus has an extraction unit, a base calculation unit, a recommended-region calculation unit and a display unit. The extraction unit extracts a region including a branch artery of a subject based on volume data. The base calculation unit calculates a base of the branch artery based on the region including the branch artery. The recommended-region calculation unit calculates a recommended region for placing a balloon of a balloon catheter based on the volume data and the base. The display unit aligns and displays the recommended region on a basic image.

Abstract: A magnetic resonance (MR) system (10) generates an attenuation or density map. The system (10) includes a MR scanner (48) defining an examination volume (16) and at least one processor (54). The at least one processor (54) is programmed to control the MR scanner (48) to apply imaging sequences to the examination volume (16). In response to the imaging sequences, MR data sets of the examination volume (16) are received and analyzed to identify different tissue and/or material types found in pixels or voxels of the attenuation or density map. One or more tissue-specific and/or material-specific attenuation or density values are assigned to each pixel or voxel of the attenuation or density map based on the tissue and/or material type(s) identified as being in each pixel or voxel during the analysis of the MR data sets. In one embodiment, the tissue and/or material types are identified on the basis of a time series of MR phase images.

Abstract: A computer-implemented method of identifying a pathogen likely causing an increased somatic cell count in a sample of fluid is described. An image of the sample of fluid is received. Pixels in the image are parsed to identify pixels representing somatic cells. The identified pixels are analyzed to determine image parameters. The determined images parameters are compared with different sets of predefined pathogen parameters stored in memory to determine a match. Each of the sets of pathogen parameters represents a different one of a plurality of pathogens. The pathogen likely causing an increased somatic cell count is identified by the set of the pathogen parameters that matches the image parameters. A computer readable medium storing instructions to implement the method and a system configure to implement the method are also described.

Abstract: Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D/3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural/morphological/kinetic features) from lesion-based or voxel-based analyses. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique.

Abstract: In order to determine extrinsic parameters of a vehicle vision system or an aspect of a vehicle vision system, road lane markings may be identified in an image captured by a camera and provided to the vehicle vision system. For one or more of the identified road lane markings, a first set of parameters defining an orientation and a position of a line along which a road lane marking extends in an image plane may be determined. Also, a second set of parameters defining an orientation and a position of a line along which a road lane marking extends in a road plane may be determined. A linear transformation that defines a mapping between the first set of parameters and the second set of parameters may be identified. The extrinsic parameters may be established based on the identified linear transformation.

Abstract: The invention relates to a method and an image processing device (50) for the registration of two images (I1, I2) that may for example be provided by a CT scanner (10) and/or an MRI scanner (20). According to one embodiment of the invention, the images are first globally registered (GR) with a given registration algorithm using a first parameter vector (p). A user may then select a region of interest ROI, and a plurality of local registrations (LR1, . . . LRs, . . . LRn) are calculated for this ROI using the same registration algorithm but different parameter vectors (p, p, . . . p). The results of the local registrations (LR1, . . . LRs, . . . LRn) are displayed and the user can select the best local registration(s). In a final step, the selected local registration(s) (LRs) and the global registration (GR) may be merged. Additionally or alternatively, a parameter vector for a local registration in the ROI may be determined by an automatic analysis of the ROI.

Abstract: Systems and methods of detecting irregular events include the extraction of values for measure in each of a plurality of notifications. The extracted values are stored in a measures database and a distribution is calculated for the values of each of the measures. The extracted values are compared to the calculated distributions to determine if an irregular event has occurred. An irregularity alert is produced if an irregular event has occurred.

Abstract: A method and computing device for displaying surgical path data are provided. The computing device includes an input device, a display, a memory and a processor. The memory stores (i) an image of a volume of patient tissue having an outer surface, and (ii) anatomical data defining anatomical features of the volume. The processor receives an identifier of a target location within the volume; generates a plurality of paths from the outer surface to the target location, each path having a start point located on the outer surface, and an end point at the target location; for each of the plurality of paths, determines a score based on a comparison between the path and the anatomical data; and controls the display to present the outer surface and, at the locations of the start points, indications of the respective scores of the paths corresponding to the start points.

Abstract: A system and method for monitoring an individual in a dwelling so as to know when such individual falls or indicates the need of assistance. A plurality of 3D motion and sound sensors are located in the dwelling and provide data to a computerized monitoring system. The sensors are configured to recognize one or more biometric identifiers of the individual being monitored. When the monitoring system detects that the individual has fallen or gestured, a computerized communication system contacts the individual to determine the need to send assistance to help the individual. Where assistance is required the system automatics contacts the previously designated caregiver for the individual and can also contact emergency personnel.

Abstract: A method and system that include an imaging device configured to capture image data of the vehicle. The vehicle includes one or more components of interest. The method and system include a memory device configured to store an image detection algorithm based on one or more image templates corresponding to the one or more components of interest. The method and system also includes an image processing unit operably coupled to the imaging device in the memory device. The image processing unit is configured to determine one or more shapes of interest of the image data using the image detection algorithm that correspond to the one or more components of interest, and determine one or more locations of the one or more shapes of interest respective to the vehicle.

Abstract: A depth construction module is described that receives depth images provided by two or more depth capture units. Each depth capture unit generates its depth image using a structured light technique, that is, by projecting a pattern onto an object and receiving a captured image in response thereto. The depth construction module then identifies at least one deficient portion in at least one depth image that has been received, which may be attributed to overlapping projected patterns that impinge the object. The depth construction module then uses a multi-view reconstruction technique, such as a plane sweeping technique, to supply depth information for the deficient portion. In another mode, a multi-view reconstruction technique can be used to produce an entire depth scene based on captured images received from the depth capture units, that is, without first identifying deficient portions in the depth images.

Abstract: A method and system for processing digital image data taken from a three-dimensional topographic area including terrain and a right of way including a first and a second object to establish a clearance surface to define clearance violations within a boundary area. Waypoints are located to define a centerline and the boundary area to be analyzed. Vegetation coordinate points in the scene are determined from the digital image data. Ground coordinate points are determined from the digital image data. A clearance surface segment is constructed within the boundary area between the first and second object. The clearance surface is determined from the location of the first and second object and clearance criteria. The clearance surface is used to define a violation region.

Abstract: A method for reconstructing a three-dimension image includes receiving a plurality of two-dimensional images and projection information of the two-dimensional images, projecting a plurality of rays onto the plurality of two-dimensional images, determining correspondence information between pixels of different ones of the plurality of two-dimensional images, determining a value of each of the pixels, and reconstructing a three-dimension image by integrating the plurality of rays, wherein a position on each ray can be associated to one pixel of the plurality of two-dimensional images.

Abstract: Methods and systems for recognizing a license plate character. Synthetic license plate character images are generated for a target jurisdiction. A limited set of license plate images can be captured for a target jurisdiction utilizing an image-capturing unit. The license plate images are then segmented into license plate character images for the target jurisdiction. The license plate character images collected for the target jurisdiction can be manually labeled. A domain adaptation technique can be utilized to reduce the divergence between synthetically generated and manually labeled target jurisdiction image sets. Additionally, OCR classifiers are trained utilizing the images after the domain adaptation method has been applied. One or more input license plate character images can then be received from the target jurisdiction. Finally, the trained OCR classifier can be employed to determine the most likely labeling for the character image and a confidence associated with the label.

Abstract: An apparatus and method are provided including a first segmenter and a second segmenter. The first segmenter is configured to generate a first segmentation result from a medical image using a first segmentation parameter for a candidate lesion. The second segmenter is configured to determine a target lesion to segment from among the candidate lesion based on the first segmentation result, and generate a second segmentation result using a second segmentation parameter to segment the target lesion.

Abstract: A candidate-region for an object-region is set in an image. In a graph including point-S corresponding the object-region, point-T corresponding to a background-region, a point corresponding to each pixel in the image, S-link connecting each pixel and point-S, T-link connecting each pixel and point-T, and N-link connecting each pair of adjacent pixels, a cost is set for each link, graph-cut is performed. Whether a pixel connected to point-S by a link is present in the graph is judged. If no pixel is present, graph-cut is performed at each stage while costs set for all the S-links connecting each pixel in the candidate-region and point-S are increased stepwise in an increment of a predetermined threshold or less until a pixel connected to point-S by a link appears. Whether each pixel in the image belongs to the object-region or the background-region is determined based on a result of graph-cut performed last.

Abstract: The present invention relates to an image processing device for detecting line structures in an image data set. The device comprises a model definition unit (12) for defining a line model of a line structure to be detected, said line model comprising a number of voxels, a calculation unit (14) for calculating, per voxel of interest of said image data set, several correlation values of a correlation between said line model and an image area around said voxel of interest, said image area comprising a corresponding number of voxels as said line model, wherein for each of a number of different relative orientations of said line model with respect to said image area a respective correlation value is calculated, and a determining unit (16) for determining, per voxel of interest, the maximum correlation value from said calculated correlation values and the corresponding optimal orientation at which said maximum correlation value is obtained.

Abstract: A motion analysis device has a determination unit which uses an output from an inertial sensor mounted on at least one of a subject and a tool operated by the subject, to determine a dominant hand of the subject in a swing. The determination unit can determine the dominant hand on the basis of the sign of angular velocity or acceleration from the inertial sensor. A calculation unit which calculates motion analysis information in a swing, using an output from the inertial sensor can add dominant hand information from the determination unit to the motion analysis information. The motion analysis device can include a coincidence determination unit which determines that a first subject and a second subject have different dominant hands, and an inverted image generation unit which inverts first motion analysis information in the case of no coincidence.