Abstract: An access permission level for a first individual may be calculated by utilizing repositories of social network databases. The facial image of a first individual may be captured and compared with a repository of pre-categorized individuals. In response to the facial image of the first individual being absent from the repository of pre-categorized individuals, the repositories of social network databases may be crawled to collect facial images of non-categorized individuals. The first facial image may be compared with the facial images of non-categorized individuals, and a second individual may be identified. In response to identifying, categorization data associated with the second individual may be collected. Utilizing the categorization data, the second individual may be sorted into one of a plurality of categories. Based upon an image match score and the category which the second individual is sorted into, an access permission level may be determined and provided to a user.

Abstract: A method and/or computer program product assists in locating objects using a local physical device and one or more remote physical devices having image capture capability. A local physical device captures one or more reference images of an object, and shares identification metrics associated with one or more reference images of the object with one or more of the remote physical devices. One or more remote physical devices captures one or more images of an area in which the object may be located, and determines, using the identification metrics, whether any of the images captured includes the object. In response to a determination that any of the images captured includes the object, those images are stored and associated with the object. In response to the object being lost by a user, the local physical device reviews the stored images to determine a location of the lost object.

Abstract: A method and an apparatus for generating a facial feature verification model. The method includes acquiring N input facial images, performing feature extraction on the N input facial images, to obtain an original feature representation of each facial image, and forming a face sample library, for samples of each person with an independent identity, obtaining an intrinsic representation of each group of face samples in at least two groups of face samples, training a training sample set of the intrinsic representation, to obtain a Bayesian model of the intrinsic representation, and obtaining a facial feature verification model according to a preset model mapping relationship and the Bayesian model of the intrinsic representation. In the method and apparatus for generating a facial feature verification model in the embodiments of the present disclosure, complexity is low and a calculation amount is small.

Abstract: A method and a device are provided for performing a recognition process. The recognition process compares an individual fingerprint view to a fingerprint enrollment template in order to determine whether a match has been found. The determination of a match is based on individual match statistics collected between the individual fingerprint view and each view of the fingerprint enrollment template. Additionally, inter-view match statistics between each view of the fingerprint enrollment template may also be determined. The inter-view match statistics can be analyzed along with the individual match statistics to further inform the determination of a match between the individual fingerprint view and the fingerprint enrollment template.

Abstract: Methods and a system are disclosed for providing a mechanism for searching and extracting three-dimensional regions of interest in image archives. In at least one embodiment, a textual search query serves as input and is processed in order to provide a newly generated query-specific volume image, including computed sub-volumes covering the anatomical structure the query refers to. The query is input via a graphical search interface and the sub-volumes are outputted also via the graphical search interface.

Abstract: A character reader 200 for reading and recognizing a character displayed at a predetermined height position on the outer peripheral surface of a plurality of cylindrical containers (for example, bottles BT), the character reader includes: a rotary drive mechanism 203 to 207 for supporting the cylindrical container to rotate the cylindrical container around the central axis thereof; a camera 201 positioned to face the cylindrical container so that a character displayed on the outer peripheral surface of the cylindrical container is captured within the visual field; and an image processing device for acquiring an image at the height position where the character is displayed over an angular range more than one rotation of the cylindrical container by controlling the imaging operation of the camera 201, thereby executing recognition processing.

Abstract: A multi-sensor, multi-modal data collection, analysis, recognition, and visualization platform can be embodied in a navigation capable vehicle. The platform provides an automated tool that can integrate multi-modal sensor data including two-dimensional image data, three-dimensional image data, and motion, location, or orientation data, and create a visual representation of the integrated sensor data, in a live operational environment. An illustrative platform architecture incorporates modular domain-specific business analytics “plug ins” to provide real-time annotation of the visual representation with domain-specific markups.

Abstract: Methods and apparatuses for correcting an impedance measured by a sensor included in a wearable device are provided. In an exemplary embodiment, the methods includes: measuring, from an image including the wearable device and arms of a user, a first angle between a straight line connecting a left elbow joint of the user and a camera device for photographing the image and a straight line connecting the left elbow joint and the wearable device, a second angle between a straight line connecting the left elbow joint and the wearable device and a straight line connecting the wearable device and a right elbow joint of the user, a third angle between a straight line connecting the right elbow joint and the wearable device and a straight line connecting the right elbow joint and the camera device, and a fourth angle between a straight line connecting the right elbow joint and the camera device and a straight line connecting the left elbow joint and the camera device.

Abstract: A method and apparatus for identifying and analyzing an aircraft landing site during flight is provided. The method includes the steps of using image capture means such as an infrared camera to capture in-flight images of the ground in the region of a possible landing site, using a database of computer modelled images of possible aircraft landing sites mapped to a global co-ordinate reference frame to compare the in-flight images with a modelled image of the possible landing site and optimizing correspondence between the two images to obtain an in-flight image optimally mapped to the global co-ordinate reference frame. Thereafter, the landing site which corresponds to the optimally mapped in-flight image is analyzed to ascertain the presence of any obstructions such as life forms, vehicles or newly erected buildings thereon.

Abstract: There is provided an information processing apparatus capable of recognizing a plurality of movable contents, obtaining movement history information about positions of the recognized contents, determining a relationship between the contents from the movement history information about the positions, and facilitating explanation of the contents by using the relationship. To this end, images of a plurality of contents having order information are projected based on the order information, which of the projected images is selected is detected, a projection unit is caused to project an image of a content related to a source content of the detected image by using a display mode based on a relationship between the source content and the related content. Through such control, the relationship between the source content and the related content is shown in an easy-to-understand manner.

Abstract: A method, system, and/or computer program product classifies a plurality of objects displayed on a display device and displays the classified plurality of objects. The method comprises: selecting one object from a plurality of objects as a selected object; and classifying the plurality of objects, where classification of each of the plurality of objects is based on a degree of association with the selected object. Classifying the plurality of objects comprises: reading a feature setting for computation of the degree of association; specifying a plurality of features that are subject to the computation of the degree of association; computing, for each of the plurality of objects, the degree of association based on a difference in feature value from the selected object with regard to the plurality of features; and dividing the plurality of objects into a plurality of groups, where each group is based on the degree of association.

Abstract: A surveillance system and method includes imaging means for processing images so that objects in the foreground are detected in the background and threats are identified. In the method, the imaging means acquires images and an initial background model is constructed from those images. Pixels are classified as either background or foreground for subsequent processing stages. In some embodiments, the imaging means is fixed in location and attitude, while in other embodiments, the imaging means is mounted to a moving platform and can alter its attitude. In such mobile applications, the system exploits geo-referencing as an aid in determining information about the pixels.

Abstract: Provided is a layout editing device, a layout editing method, and a recording medium. The layout editing device includes a layout editing unit editing a layout, which is displayed on an editing screen of a screen display unit, based on the instruction of a user, an image analysis unit performing image analysis of each of a plurality of images, a preference estimation unit estimating the preference of the user based on the layout editing result and the image analysis result, an image evaluation unit calculating the evaluation value of each of the plurality of images based on the preference of the user and the image analysis result, and an edit assisting unit displaying assist information, which is for assisting the editing work of the layout by the user, on the editing screen of the screen display unit based on the evaluation value of each of the plurality of images.

Abstract: An unevenness detecting device includes: a pulsed illuminating light source emitting light having a predetermined wavelength range; a first condensing lens condensing return light reflected by a workpiece held on a chuck table and passed through a chromatic aberration lens and a half-silvered mirror; a mask disposed at the position of a focal point of the first condensing lens, the mask passing only the condensed return light; a diffraction grating performing light separation so as to correspond to the wavelengths of the return light; a second condensing lens condensing the return light resulting from the light separation by the diffraction grating; and an imaging element disposed at the position of a focal point of the second condensing lens.

Abstract: A system and method for package dimensioning is provided. The package-dimensioning system includes an image capturing subsystem for acquiring information about an object within the image-capturing subsystem's field of view. A features-computation module analyzes object information and compiles a feature set describing the object's surface features. A classification module analyzes the feature set and categorizes the object's shape. A shape-estimation module estimates the dimensions of the object.

Abstract: A method of blurring an image using a spatially variable blur is disclosed. The method comprises the steps of: for each pixel of a scan line of pixels in the image: obtaining a measure representative of image depth at the pixel; determining a blur kernel width for the pixel based on the measure representative of image depth at the pixel; and where an increase in the determined blur kernel width with respect to a blur kernel width of a previous pixel in the scan line is detected: determining, from the determined blur kernel width, a tapered blur width adapted to provide an asymmetric filter response for the pixel; and applying the tapered blur width to a filter to output a blurred pixel value for the pixel by using a plurality of filter coefficients determined based on blur width values of one or more previously blurred pixels.

Abstract: An electronic device including an illuminator and a camera configured for performing iris recognition while the user holds the device. The lens of the camera comprises four molded plastic elements with eight aspheric surfaces at a total thickness of only 3.4 mm that provides a mildly distorted image 1.2 mm across. The relative aperture is 3.5 with a fixed focal distance, providing a depth-of-field spanning a fixed focus region of at least 10 cm in depth that is 25 to 35 cm (centimeters) from the eye. The illuminator comprises a near-IR LED in a Cassegrain telescope configuration for efficient directing of flux toward the eye, thereby conserving device volume and electric energy use.

Abstract: A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.

Abstract: An image correction apparatus includes a correction factor calculating unit which calculates a correction factor such that a distance between a corrected value obtained by correcting, using the correction factor, a luminance value of a first pixel on the image corresponding to a sensor element with a first filter in an image sensor included in an image capturing unit which generates the image, the first filter having a first transmittance characteristic and a luminance value of a second pixel on the image corresponding to a sensor element with a second filter in the image sensor, the second filter having a second transmittance characteristic, becomes smaller than a distance between the luminance value of the first pixel and the luminance value of the second pixel, and a correcting unit which generates a corrected image by correcting the luminance value of the first pixel using the correction factor.

Abstract: Systems and methods for aligning ground based images of a geographic area taken from a perspective at or near ground level and a set of aerial images taken from, for instance, an oblique perspective, are provided. More specifically, candidate aerial imagery can be identified for alignment with the ground based image. Geometric data associated with the ground based image can be obtained and used to warp the ground based image to a perspective associated with the candidate aerial imagery. One or more feature matches between the warped image and the candidate aerial imagery can then be identified using a feature matching technique. The matched features can be used to align the ground based image with the candidate aerial imagery.