Abstract: Provided is a route change determination system and method using image recognition information, which is capable of extracting position information having high precision similar to that of a high-precision DGPS device, while using a low-precision GPS device, in order to determine a change of a traveling route. The route change determination system using image recognition system includes: a GPS module; an image recognition module having a line recognition function; a road map storage module configured to store road map information and route change possible section information for changing a route of a vehicle; a road map receiving module configured to receive the road map information; and an information processing module configured to determine whether the route is changed or not, based on line recognition information acquired through the image recognition module and the route change possible section information.

Abstract: A device, system, and method for displaying seismic image data may include computing, from a wide-azimuth data set, a discrete data set associated with an image function at a seismic image point. The discrete data set may be mapped onto a continuous curved three-dimensional surface. The mapped data set may be projected onto a continuous planar surface. The projected data may be displayed as a planar disk. A plurality of continuous planar surfaces, each representing a single image point, may be assembled to form a three-dimensional body, representing a seismic gather of image points. The three-dimensional body may be displayed. Other embodiments are described and claimed.

Abstract: An arrangement for the optical evaluation of harvested crop in a harvesting machine includes a camera located for taking images of threshed out crop elements (grain and material other than grain) being conveyed within a channel of the machine. An electronic image processing system receives the images and identifies individual objects in the images, these objects being classified into predetermined object classes by way of comparing at least one of color, contour or texture features of the individual objects and corresponding characteristics of reference objects filed in a data bank. The processing system then determines the absolute or relative numbers or areas of the individual objects assigned to the respective object classes.

Abstract: This disclosure relates to a method and system that models a seed structure and uses a spectral analysis to identify which morphological seed structures are existent in the seed/seedling. Additionally, this disclosure relates to a method and system that applies multi-spectral analysis using predetermined models of a seed/seedling to identify which morphological structures are existent in the seed/seedling. The information about the existence or non-existence of structures of the seed/seedling is used to classify the seed as having a specific characteristic, for later commercial use or sale. The seed market determines which specific characteristic the method will use to classify the seed/seedling. The individual seed classification may help determine associated seed lot germination values.

Abstract: A system for managing scouting images, including a scouting camera configured to record and store images of subjects at a particular location and an image management device which has a processor that creates a predictive statement based on image content of the images stored on the scouting camera or copies thereof and a display conveying the predictive statement to a user, wherein the predictive statement indicates a portion of a future time period that subjects are most likely to be at the particular location as compared to remaining portions of the future time period.

Abstract: A method for providing real-time feedback of an estimated quality of a captured final image, the method including obtaining a preliminary image, calculating a quality score of the preliminary image, and in response to the quality score of the preliminary image exceeding a threshold quality value, taking a first action.

Abstract: Method for editing a vector set associated with an extracted linear feature in a remotely sensed image, the vector set defining a path and being tied to a geographical location. The method includes displaying the path in a graphical display. Once the user activates a smart editing tool, the user establishes a region of influence centered around a cursor. The region of influence is configured to respond to cursor movements. The user specifies a point near the path and moves the cursor to it, bringing the region of influence along. Any error in the vector set of the path is automatically corrected in real time using image-based logic. The user then previews the correction on the graphical display and implements it, updating the path. The updated path is displayed in real time in the graphical display.

Abstract: A mechanism is provided for identifying one or more eligible image candidates. Responsive to a determination that the storage of a recently captured image raising an allocated captured images memory space in a storage to a point that storage of a next captured image would raise the allocated captured images memory space in the storage above the predetermined threshold, a criteria group in a set of criteria groups is identified to utilize for identification of one or more images candidates from a set of stored images in the storage. The one or more images candidates from the set of stored images in the storage are identified utilizing one or more image identification criteria in the criteria group. The one or more image candidates are then presented to a user.

Abstract: A biometric authentication system includes an image database and a user database containing user profiles. Each user profile is associated with a selected image in the image database as an image key and with an ocular biometric data record obtained from an eye of the associated user. A user input terminal receives asserted user credentials, an eye scanning module obtains ocular biometric data, and a position detection module detects an eye position or eyelid position. An access control module communicates with the user database for obtaining a user profile associated with the asserted user credentials, communicates with a display device for displaying the image key associated with the obtained user profile, communicates with the position detection module for verifying the biometric authentication system by detecting whether the user is viewing the image key, and communicates with the eye scanning module for obtaining ocular biometric data and authenticating the user.

Abstract: A biometric user authentication method and computer program product includes receiving asserted user credentials from a user into a biometric authentication system, and obtaining a digitally-stored image key and ocular biometric data both associated with the asserted user credentials from memory within the biometric authentication system. The biometric authentication system is verified by simultaneously displaying the image key and at least one image other than the image key to the user and detecting that the user has selected the image key. The user is authenticated by scanning an eye of the user to obtain ocular biometric data and matching the scanned ocular biometric data to the digitally stored ocular biometric data. If the biometric system is verified and the user is authenticated, then the user is provided access to a protected area.

Abstract: Apparatus and methods for facial detection are disclosed. A plurality of images of an observed face is received for identification. Based at least on two or more selected images of the plurality of images, a template of the observed face is generated. In some embodiments, the template is a subspace generated based on feature vectors of the plurality of received images. A database of identities and corresponding facial data of known persons is searched based at least on the template of the observed face and the facial data of the known persons. One or more identities of the known persons are selected based at least on the search.

Abstract: An authentication apparatus capable of reducing erroneous authentication. A face detection section detects a face area of an object from an image. A feature information extraction processor extracts feature information (image data) indicative of a feature of the object. An authentication determination section performs authentication by comparing registered image data and feature information of a specific object. A registration information processor determines, when one of objects associated with registered image data items is selected as an object to which the feature information of the specific object is to be added, whether or not to additionally register the feature information of the specific object as image data for the selected object, according to a degree of similarity between image data of the selected object and the feature information of the specific object.

Abstract: Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.

Abstract: Systems and methods for image guided surgery are disclosed herein. An example method can include: receiving a plurality of 2D projection images of an object at a plurality of projection angles during a first period of time; and receiving a position of an instrument relative to a tracking coordinate system during the first period of time. The method can also include registering the plurality of 2D projection images relative to the tracking coordinate system to obtain a transformation function that defines a relationship between a coordinate system of the plurality of 2D projection images and the tracking coordinate system; receiving an adjusted position of the instrument relative to the tracking coordinate system during a second period of time that is subsequent to the first period of time; and estimating an adjusted position of the instrument relative to the plurality of 2D projection images using the transformation function.

Abstract: A method for identifying tooth regions. The method includes generating a first threshold image from a first tooth image by selecting intensity data values higher than a first predetermined threshold value c1; generating a second threshold image from a second tooth image by selecting intensity data values higher than a second predetermined threshold value c2; generating a preliminary tooth regions image that defines at least a first tooth region from the intersection of the first and second threshold images; generating a reference binary image from the first image by selecting intensity data values higher than a third predetermined threshold value c3, wherein threshold value c3 exceeds c1; and generating a refined tooth regions image from at least the first tooth region in the preliminary tooth regions image. The first tooth region is connected to objects in the reference binary image.

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: The disclosed embodiments relate to characterizing or quantifying an element or composition of interest within an imaged volume. In accordance with one embodiment, high and low energy images are acquired of a volume of interest using a polychromatic emission source. The high and low energy images are processed to generate monochromatic images. Based on the observed attenuation within the monochromatic images, one or more elements or compositions of interest are characterized within the imaged volume.

Abstract: Elicited MRI signals are processed into MR image data in conjunction (a) with use of an initial spatially-selective RF tag pulse (tag-on) and (b) without use of an initial spatially-selective NMR RF tag pulse (tag-off) in respectively corresponding data acquisition subsequences. Multi-dimensional tag-on and tag-off data acquisition subsequences are used for each of plural time-to-inversion (TI) intervals without using an injected contrast agent. Acquired image data sets are subtracted for each TI interval to produce difference values as a function of time representing blood perfusion for the ROI that differentiates between normal, ischemic and infarct tissues.

Abstract: Methods and apparatuses for generating a blur model of a detector, and methods and apparatus for generating a medical image are provided. A method of generating a blur model of a detector may involve: changing locations of linear gamma ray sources along at least one line and obtaining signals emitted from the linear gamma ray sources; obtaining a point spread function (PSF) with respect to at least one voxel included in the at least one line; and generating a blur model of the detector from the PSF.

Abstract: A method of managing an ultrasound image, the method including storing a plurality of pieces of setting information to respectively match a plurality of observation operations for diagnosing an object, each of the plurality of pieces of setting information including at least one from among information about an observation plane that splits ultrasound volume data in a predetermined direction, information about a split method of splitting the ultrasound volume data, and information about a reference point; displaying a plurality of plane images for a current observation operation, wherein the plurality of plane images are obtained based on a piece of the setting information matching the current observation operation; storing an image selected from among the plurality of plane images according to an external input signal such that the selected image matches the current observation operation.

Abstract: Methods for correcting for aberrations in the image or three-dimensional reconstruction of a sampled region obtained by broadband interferometry. The sampled region is illuminated with a broadband beam of light, and light returned from the sample is detected, along with a reference beam, in order to derive an interference signal for pixels of a volume spanned by wavenumber and axes transverse to the beam propagation direction. An optimization procedure is performed with respect to a specified criterion so as to obtain an aberration-corrected image of at least one plane of the sampled region, either in a plane-specific manner or in a space-invariant manner throughout the sampled region. A filter function, which may be derived from the interference signal attendant to irradiating a sparsely distributed plurality of point scatterers, or otherwise, corrects for a detected aberrated point spread function.

Abstract: A method includes receiving a signal indicative of a single user selected imaging protocol for scanning a patient. The imaging protocol includes parameters for two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures. The method further includes performing a single scan of the patient using the single user selected protocol. The method further includes generating a single set of image data for the two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures.

Abstract: An image-based biomarker is generated using image features obtained through object-oriented image analysis of medical images. The values of a first subset of image features are measured and weighted. The weighted values of the image features are summed to calculate the magnitude of a first image-based biomarker. The magnitude of the biomarker for each patient is correlated with a clinical endpoint, such as a survival time, that was observed for the patient whose medical images were analyzed. The correlation is displayed on a graphical user interface as a scatter plot. A second subset of image features is selected that belong to a second image-based biomarker such that the magnitudes of the second image-based biomarker for the patients better correlate with the clinical endpoints observed for those patients. The second biomarker can then be used to predict the clinical endpoint of other patients whose clinical endpoints have not yet been observed.

Abstract: A method performed by one or more processing devices includes retrieving data for a protein in a tissue type in a first state and for the protein in the tissue type in a second state; determining, based on the retrieved data, first features of the protein in the tissue type in the first state; determining, based on the retrieved, second features of the protein in the tissue type in the second state; and identifying, based on the first features and the second features, that a location of the protein in the tissue type in the first state differs from a location of the protein in the tissue type in the second state.

Abstract: Disclosed herein are generally to methods and systems that facilitate imaging of cells on a substrate and more particularly to pre-implantation (in vitro) and post-implantation (in vivo) imaging of cell-seeded substrates implanted in target tissues in the context of stem cell therapy.

Abstract: A computer-implemented method for use in machine vision systems is provided. The method can include receiving a source image and segmenting the source image into one or more segments. The method can further include receiving a selection of a first segment of the one or more segments associated with the source image and generating a first mask image, based upon, at least in part, the first segment. The method can also include determining at least one attribute associated with the first segment and normalizing a masked area of a runtime image using, at least in part, the at least one attribute.

Abstract: A method for analyzing quality of a glazing including: generating at least one digital image of a test chart produced in reflection by an external surface of the glazing on an outside of the glazing; computation by at least one processing unit of quantities representative of the quality of the glazing based on the at least one image generated; and comparing values computed for the representative quantities with respect to reference values. The test chart exhibits a pattern including elements of closed contours arranged periodically. The representative quantities are representative of a deformation of the image of the test chart produced in reflection by the external surface of the glazing on the outside of the glazing, and the computation of a representative quantity includes the computation of a density of the elements.

Abstract: Methods and systems for determining inspection scenarios without input from a user are presented. Inspection scenarios include at least one acquisition mode, defect detection parameter values, and classification parameter values. In one example, a number of defect events are determined by a hot inspection of a wafer surface. The defect events are classified and attributes associated with each defect event are identified. The defect events are labeled with this information. Based on the identified attributes and classification, inspection scenarios are determined. The inspection scenarios are solutions in a mathematical space formed by the identified attributes. In some examples, a plurality of inspection scenarios are determined and a desired inspection scenario is selected from the plurality based on the number of defects of interest and the number of nuisance events captured by the selected inspection scenario.

Abstract: Methods for improved reconstruction of a deforming surface may comprise canceling ambient occlusion of the deforming surface from an input image, computing an optical flow of the image, and refining a 3-D shape of the surface.

Abstract: A method for fine-grained image classification on an image includes automatically segmenting one or more objects of interest prior to classification; and combining segmented and original image features before performing final classification.

Abstract: Provided is a method of detecting and tracking lips accurately despite a change in a head pose. A plurality of lips rough models and a plurality of lips precision models may be provided, among which a lips rough model corresponding to a head pose may be selected, such that lips may be detected by the selected lips rough model, a lips precision model having a lip shape most similar to the detected lips may be selected, and the lips may be detected accurately using the lips precision model.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, calculating a set of log-chromaticity cluster maps, each based upon an estimate for an orientation of the bi-illuminant chromaticity plane selected from a set of estimates and including a cluster for each one of the image locations, and merging the set of log-chromaticity cluster maps to obtain a single, merged log-chromaticity cluster map.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, providing an estimate for an orientation of the bi-illuminant chromaticity plane and optimizing the estimate of an orientation as a function of a minimization of a weighted entropy.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, providing a set of estimates for an orientation of the bi-illuminant chromaticity plane and calculating a single orientation for each one of the image locations as a function of the set of estimates for an orientation.

Abstract: Identifying at least one object in data for photographed images includes detecting a reference pattern in the data, locating the reference pattern in a table of patterns, and identifying the at least one object according to the reference pattern. The pattern may be located on the at least one object. The at least one object may be a greeting card. The pattern may categorize the greeting card by season and/or occasion. The pattern may identify a sender of the greeting card. The pattern may be provided on an item that is separate from the at least one object. The table of patterns may include a record for at least some of the patterns and the record may include additional information associated with the pattern. The additional information may include tasks that are performed in connection with the pattern. The additional information may include geometric and color parameters of the pattern.

Abstract: There is provided a method for identifying and sorting randomly distributed waste containers (1) containing different types of refuse sorted at source, wherein the identification is based on an image analysis of a pattern (2) arranged on each container (1). The method for identifying and sorting comprises the following steps: capturing at least one image of each container (1), analyzing the image by determining following characteristics: a shade and/or color of the pattern; a type of the pattern arranged on the container; calculating a sorting value based on the determined characteristics; comparing the calculated sorting value to a predetermined limit value or predetermined range of sorting values in order to classify the type of refuse contained in the container for sorting thereof.

Abstract: Adjusting data for photographed images includes detecting a reference image in the data, where the reference image contains a detectable uniformity and adjusting the data according to the reference image. The reference image may be a uniform grid pattern of dots preprinted on paper. A paper type may be determined prior to adjusting the data according to the reference image. The paper type may be determined according to spacing and/or patterns of the dots, and/or layout of page areas covered with dots. Adjusting the data may include removing effects corresponding to a folded corner, a removed corner, an obstructed corner, lens flare spots, and/or a shadow. Positional coordinates of the data may be adjusted by normalizing the grid through a non-linear transformation that eliminates curvature of the grid and/or distortions based on perspective.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, providing a set of estimates for the orientation of the bi-illuminant chromaticity plane and calculating an orientation for each one of the image locations as a function of the set of estimates for the orientation.

Abstract: An apparatus for analyzing a video capture screen includes: a video frame extracting unit extracting at least one frame from a video having a plurality of frames; an extracted frame digitizing unit digitizing features of each of the at least one frame extracted by the video frame extracting unit; an image digitizing unit digitizing features of at least one collected search target image; an image comparing and searching unit comparing the search target image with the at least one frame extracted from the plurality of frames by digitized values of the collected search target image and the at least one frame; and a search result processing unit mapping related information of the collected search target image to a frame coinciding with the search target image and storing the related information in a database, when the extracted at least one frame coinciding with the search target image is present in a comparison result.

Abstract: An image processing for recognition objectives system including uploading n image to a processor and associated memory via a network, dividing the images into a plurality of sub-images, preprocessing, uploading an image to be recognized from an image source to the processor and associated memory, pre-processing the image to be recognized and a first the plurality of sub-images, extracting key features from the image to be recognized and a first of the plurality of sub-images, comparing the key features of the image and the first of the sub-images, if there is a match, display the match and if there is no match, advance to the next of the plurality of sub-images and repeat until a match is determined.

Abstract: A method of detecting image format includes dividing a single-frame image into a plurality of macro-blocks; calculating a correlation coefficient of a left-half image of the single-frame image and a right-half image of the single-frame image as a first global similarity; calculating a correlation coefficient of a top-half image of the single-frame image and a bottom-half image of the single-frame image as a second global similarity; calculating a portion difference of each macro-block; comparing the portion differences of the left-half image and the right-half image, for acquiring a first local similarity; comparing the portion differences of the top-half image and the bottom-half image, for acquiring a second local similarity; and detecting an image format of the single-frame image according to the first global similarity, the second global similarity, the first local similarity, the second local similarity, a first threshold and a second threshold.

Abstract: This invention is related to a method that enables the object based segmentation of especially air/satellite images that are displayed in high resolution. The aim of the invention is to determine automatically the borders of objects by using statistical, spatial and structural relationships/characteristics and also by using high resolution air/satellite image data. Another aim of the invention is to develop a method that can operate by being minimally affected by limiting aspects such as ambient light, weather conditions or resolution and that can provide the determination of an object as a whole instead of sensing it in pixels.

Abstract: A technique for combining multiple individual feature detectors to identify a combined feature in a digital image is disclosed. A combined feature detection rule may specify multiple individual feature detectors with which an image is to be analyzed. The multiple individual feature detectors may identify constituent parts of the combined feature and/or may identify features based on different image properties. An analysis of the image with the specified feature detectors may result in the identification of multiple candidate regions (i.e., regions within which the detectors identify their respective features). The combined feature detection rule may operate directly on the multiple candidate regions to adjust the spatial properties of the candidate regions and group the adjusted candidate regions into candidate region groups, it may then be determined if one or more of the candidate region groups is representative of a presence of the combined feature in the image.

Abstract: The invention relates to a method of evaluating the confidence of matching signatures of a hyperspectral image of at least one tracked object, defined by pixels on an image sensor, to a hyperspectral image template in real time while tracking the at least one tracked object.

Abstract: The invention relates to a method of selecting an algorithm for use in processing hyperspectral data from a set of algorithms, each having qualities for processing certain characteristics of hyperspectral data.

Abstract: Techniques for de-duplicating virtual machine image accesses. A method includes identifying one or more identical blocks in two or more images in a virtual machine image repository, generating a block map for mapping different blocks with identical content into a same block, deploying a virtual machine image by reconstituting an image from the block map and fetching any unique blocks remotely on-demand, and de-duplicating virtual machine image accesses by storing the deployed virtual machine image in a local disk cache.

Abstract: A method for determining a facial emotion of a user in the presence of a facial artifact includes detecting Action Units (AUs) for a first set of frames with the facial artifact; analyzing the AUs with the facial artifact after the detection; registering the analyzed AUs for a neutral facial expression with the facial artifact in the first set of frames; predicting the AUs in a second set of frames; and determining the facial emotion by comparing the registered neutral facial expression with the predicted AUs in the second set of frames.

Abstract: Handling data for a photographic image, includes detecting a reference pattern in the data, detecting at least one sticker in the data, determining an action associated with the at least one sticker, and performing the action on the data. The reference pattern may be a uniform grid pattern of dots preprinted on paper. A paper type may be determined according to the reference image. Determining an action associated with the at least one sticker may depend, at least in part, on the paper type. Detecting a particular one of the stickers may cause data for the photographic image to be stored in a particular location. Detecting a particular one of the stickers may cause data for the photographic images to be assigned particular tags used for organizing and searching.

Abstract: A method for determining the torsional component of an eye around the viewing direction comprises the steps: Recording an image of the eye (110); Extracting at least one “region of interest” (120) and transformation into a polar coordinate image (130); Detecting objects of at least one predefined object type in the polar coordinate image (140); Generating a function of the respective object type depending on the polar coordinate angle Phi (150); Generating a code from the functions of the object types depending on the polar coordinate angle Phi (160); and comparing the code (30) with a code being determined from a previous recording (170). The function of each object type is a 1-dimensional function, which is generated by combining (e.g. summarizing) along the radial component. A device for determining a measure of the torsional position of the eye position is designed for performing the method.

Abstract: The present invention relates to an apparatus and method for efficiently generating feature data which properly determines a feature point indicating features of images and describes the feature point. The apparatus for generating image feature data comprises: a feature point determining unit which determines a feature point from an image and extracts information on the determined feature point; a feature point filtering unit which determines, as a final feature point, at least one feature point from among the feature points determined by the feature point determining unit; and a feature data generating unit which generates image feature data based on the final feature points determined by the feature point filtering unit and feature point information on the final feature points.