Abstract: A method for anatomical analysis and joint implant design. Embodiments provide users with the ability to anatomically analyze a single bone or a series of bones that exist in a database, evaluate surgical landmarks and axes, identify differences among specific characteristics of a given population, and modify existing implants or create new implant designs based on anatomical analyses.

Abstract: A computing device performs matching between a target image and one or more template images. The computing device receives image data and performs an edge detection algorithm on the image data. The edge detection algorithm includes a distance metric based on angles between gradient vectors in the image data and gradient vectors in one or more templates. The computing device matches a building model to the image data based on results of the edge detection algorithm, wherein the building model is associated with the one or more templates.

Abstract: Systems and methods for learning a high-level visual vocabulary generate inter-visual-word relationships between a plurality of visual words based on visual word-label relationships, map the visual words to a vector space based on the inter-visual word relationships, and generate high-level visual words in the vector space.

Abstract: An automated defect inspection system has been invented and is used on patterned wafers, whole wafers, broken wafers, partial wafers, sawn wafers such as on film frames, JEDEC trays, Auer boats, die in gel or waffle packs, MCMs, etc., and is specifically intended and designed for second optical wafer inspection for such defects as metalization defects (such as scratches, voids, corrosion, and bridging), diffusion defects, passivation layer defects, scribing defects, glassivation defects, chips and cracks from sawing, solder bump defects, and bond pad area defects.

Abstract: In one aspect, the present invention is directed to a method and an apparatus for organizing digital media, particularly digital photos, using face recognition. According to a first aspect of the present invention, a computer-based method for organizing digital photos comprises: extracting objects of interest from a plurality of photographs; cropping said plurality of photographs to generate images of isolated objects of interest; applying a recognition algorithm to determine the similarity of isolated objects of interest with a reference; displaying a plurality of objects arranged as a function of the determined similarity; and receiving user input to associate said objects with a particular classification.

Abstract: A camera system comprises an image capturing device, object detection module, object tracking module, and match classifier. The object detection module receives image data and detects objects appearing in one or more of the images. The object tracking module temporally associates instances of a first object detected in a first group of the images. The first object has a first signature representing features of the first object. The match classifier matches object instances by analyzing data derived from the first signature of the first object and a second signature of a second object detected in a second image. The second signature represents features of the second object derived from the second image. The match classifier determine whether the second signature matches the first signature. A training process automatically configures the match classifier using a set of possible object features.

Abstract: Various implementations provide techniques to prevent excessive parallax, depth, or disparity from being passed through to a viewer. In one particular implementation, it is determined that a depth indicator for an object in a stereoscopic image pair of a video sequence is outside of a target range. One or more images of the stereoscopic image pair is modified so that the depth indicator for the object is within the target range. In other implementations, a depth transition between the object and another portion of the video sequence is smoothed. In further implementations, the stereoscopic image pair is replaced with a 2D image pair that includes the object. In yet further implementations, a resulting video sequence includes (i) one or more stereoscopic image pairs having non-zero disparity and for which the depth indicator is within the target range for the entire image pair, and (ii) one or more 2D image pairs.

Abstract: A method in a machine vision inspection system for obtaining two images of a workpiece with a desired sub-pixel offset between the images. The images are acquired using a fast multiple image acquisition mode of operation of a camera in the machine vision inspection system. In various implementations, the method includes removing the offset between the images such that the workpiece is congruent in the images and combining the congruent image data. The combined image data has a resolution better than that allowed by the native resolution of a camera that acquires images in the machine vision inspection system. The method may be implemented in an edge feature video tool for measuring edge features on the workpiece. The motion direction utilized for obtaining the two images may be made to be transverse to the edge direction of an edge that is being measured.

Abstract: A digital image of a surface of a check is received. A check scanning device captures the digital image as the check moves through the check scanning device. A fingerprint is impressed on the surface of the check. A computing system uses the digital image to determine a match score. The match score represents an approximate probability that the fingerprint on the check matches a reference fingerprint. An alert is presented based on the match score.

Abstract: System, method, and apparatus for smoothing of edges in images to remove irregularities are disclosed. In one aspect of the present disclosure, a method of image processing includes, identifying an edge in an image having an associated set of edge characteristics, determining the associated set of edge characteristics, and applying a low pass filter to a pixel of the edge based on the associated set of edge characteristics to generate a second image based on the image, wherein the edge in the image is smoothed in the second image. The method further includes generating a third image which is a blend of the original image and the second (edge-smoothed) image based on the associated set of edge characteristics.

Abstract: An apparatus and method for detecting a lesion, which enables to adaptively determine a parameter value of a lesion detection process using a feature value extracted from a received medical image and a parameter prediction model to improve accuracy in lesion detection and lesion diagnosis. The apparatus and the method include a model generator configured to generate a parameter prediction model based on pre-collected medical images, an extractor configured to extract a feature value from a received medical image, and a determiner configured to determine a parameter value of a lesion detection process using the extracted feature value and the parameter prediction model.

Abstract: A computer-implemented system and method for controlling document image capture are provided. The method includes identifying a categorization model for categorizing image frames and configuring an image capture device, based on the identified categorization model. A flow of frames of a same document captured with the configured image capture device is received and an image representation generated for each of a plurality of frames within the flow of frames. With the identified categorization model, for each of the plurality of frames, a confidence for at least one category is assigned to the frame based on the image representation. A category is assigned to the document when a threshold confidence for one of the at least one categories is assigned. An automatic capture of an image of the document is triggered based on the assigned category.

Abstract: A method for capturing images of an individual to determine wellness for such individual, including establishing baseline physiological data for the individual, and baseline capture condition data for the individual; detecting and identifying the presence of the individual in the image capture environment; providing semantic data associated with the individual; capturing one or more images of the individual during a capture event and determining the capture conditions present during the capture event; using the event capture conditions, the baseline physiological data for the individual and the baseline capture condition data to determine the acceptability of event captured images; and using the acceptable images and the semantic data in determining the wellness of the individual.

Abstract: A method of collecting content by a content-collecting apparatus is provided. The method includes extracting a characteristic information from content that is being displayed; transmitting the extracted characteristic information to an external device; and receiving content relating to the transmitted characteristic information from the external device.

Abstract: An image registration system an endoscope (12) and an endoscope controller (22). In operation, the endoscope (12) generates an intra-operative endoscopic image (14) of a vessel tree within an anatomical region including a plurality of branches of the vessel tree visible within the intra-operative endoscopic image (14) as an indication of a furcation of the vessel tree invisible within the intra-operative endoscopic image (14). The endoscope controller (22) image registers the intra-operative operative endoscopic image (14) of the vessel tree to a pre-operative three-dimensional image (44) of the vessel tree. The image registration includes an image matching of a graphical representation of the furcation of the vessel tree as indicated by the branches of the vessel tree visible within the intra-operative endoscopic image (14) of the vessel tree to a graphical representation of the furcation of the vessel tree visible within the pre-operative three-dimensional image (44) of the vessel tree.

Abstract: A methodology for acquiring measurements of a signal at one or more scales of resolution, including: generating modulation patterns based on a predefined measurement matrix; modulating a received signal with the modulation patterns using the signal modulating array to obtain a modulated signal; and acquiring measurements of intensity of the modulated signal. Each modulation pattern is generated by: (a) selecting a corresponding row of the measurement matrix; (b) reordering elements of the selected row according to a permutation to obtain a reordered row; and (c) transferring the reordered row to the signal modulating array so that elements of the reordered row are mapped onto the signal modulating array. The permutation is defined so that a subset of the modulation patterns are coarse patterns that respect a partition of the signal modulating array into an array of superpixels, each superpixel including a respective group of the signal modulating elements.

Abstract: A method and associated systems for real-time subject-driven functional connectivity analysis. One or more processors receive an fMRI time series of sequentially recorded, masked, parcellated images that each represent the state of a subject's brain at the image's recording time as voxels partitioned into a constant set of three-dimensional regions of interest. The processors derive an average intensity of each region's voxels in each image and organize these intensity values into a set of time courses, where each time course contains a chronologically ordered list of average intensity values of one region. The processors then identify time-based correlations between average intensities of each pair of regions and represent these correlations in a graphical format. As each subsequent fMRI image of the same subject's brain arrives, the processors repeat this process to update the time courses, correlations, and graphical representation in real time or near-real time.

Abstract: A technique for generating a representative image representing a case and radiographic interpretation information for each case includes calculating wavelet features of a plurality of images that have been taken and stored in the past. The calculated wavelet features and extracted keywords are stored in association with the stored images. The stored images are classified on the basis of the extracted keywords to generate a plurality of groups. For each of the generated groups, a centroid vector of wavelet feature-based feature vectors of respective images corresponding to the keywords is calculated and a spatial distance between the calculated centroid vector and each of the wavelet feature-based feature vectors is calculated. For each of the groups, the image for which the calculated spatial distance is the shortest and the radiographic interpretation information associated with the image is stored as a representative image of that group.

Abstract: A method and apparatus for encoding an image is provided. An image coding unit, including a region that deviates from a boundary of a current picture, is divided to obtain a coding unit having a smaller size than the size of the image coding unit, and encoding is performed only in a region that does not deviate from the boundary of the current picture. A method and apparatus for decoding an image encoded by the method and apparatus for encoding an image is also provided.

Abstract: A method is provided to measure an overall image quality score for a remote desktop on a first computer and accessed from a second computer. The method includes playing a video timestamp on the remote desktop at the first computer where the video timestamp includes unique timestamps, screen capturing first computer frames of the remote desktop at the first computer and second computer frames of the remote desktop at the second computer at the same time, determining a frame image quality score for each second computer frame by comparing the client screen to a corresponding baseline first computer frame, and determining the overall image quality score for the remote desktop from frame image quality scores of the second computer frames.