Abstract: A computer implemented method and apparatus for mitigating face aging errors when performing facial recognition. The method comprises receiving an indication of a face that needs to be searched in an image set, where each image in the image set comprises a timestamp that identifies a creation date of the image, the creation date being in a continuum of successive time intervals; and identifying the indicated face in images taken in each time interval of a plurality of successive time intervals for the indicated face, wherein each face found in images taken in a previous successive time interval is used as a reference set for identifying the face in images taken in a next successive time interval.

Abstract: An error of an outline point due to a brightness fluctuation cannot be corrected by a simple method such as a method of adding a certain amount of offset. However, in recent years as the miniaturization of the pattern represented by a resist pattern has progressed, it has been difficult to appropriately determine a region that serves as a reference. An outline of the resist pattern is extracted from an image of the resist pattern obtained by a charged particle beam apparatus in consideration of influence of the brightness fluctuation. That is, a plurality of brightness profiles in the vicinity of edge points configuring the outline are obtained and an evaluation value of a shape of the brightness profile in the vicinity of a specific edge is obtained based on the plurality of brightness profiles, and the outline of a specific edge point is corrected, based on the evaluation value.

Abstract: A method and apparatus for inspection and review of defects is disclosed wherein data gathering is improved. In one embodiment, multiple or segmented detectors are used in a particle beam system.

Abstract: An automatic facial action coding system and method can include processing an image to identify a face in the image, to detect and align one or more facial features shown in the image, and to define one or more windows on the image. One or more distributions of pixels and color intensities can be quantified in each of the one or more windows to derive one or more two-dimensional intensity distributions of one or more colors within the window. The one or more two-dimensional intensity distributions can be processed to select image features appearing in the one or more windows and to classify one or more predefined facial actions on the face in the image. A facial action code score that includes a value indicating a relative amount of the predefined facial action occurring in the face in the image can be determined for the face in the image for each of the one or more predefined facial actions.

Abstract: As a user writes using a handheld writing device, such as an electronic pen or stylus, handwriting input is received and initially displayed as digital ink. The display of the digital ink is converted to recognized text inline with additional digital ink as the user continues to write. A user may edit a word of recognized text inline with other text by selecting the word. An enlarged version of the word is displayed in a character correction user interface that allows a user to make corrections on an individual character basis and also provides other correction options for the word.

Abstract: In some embodiments, a system and method for estimating the geographical location at which image data was captured with a camera identifies matching feature points between the captured images, estimates a pose of the camera during the image capture from the feature points, performs geometric reconstruction of a scene in the images using the estimated pose of the camera to obtain a reconstructed scene, and compares the reconstructed scene to overhead images of known geographical origin to identify potential matches.

Abstract: A face recognition apparatus and method using plural face images includes detecting a reference face image from an image input for registration in advance, calculating plural face feature information from a frontal face image if the detected reference face image includes the frontal face image, generating plural compared face images using the calculated plural face feature information, and determining whether the input face image matches the generated plural compared face images by comparing the input face image with the plural compared face images. Face images having diverse points of view are generated through single user registration, and thus the face recognition ratio can be heightened.

Abstract: A method for identity verification using biometric data is disclosed herein. The method comprises receiving, by a processor, an image of an identification document and receiving a video associated with a face of a user. A predefined number of frames are selected in the video. Based on the selection, it is determined whether the video depicts a live person. Additionally, the face of the user in the video is compared with the image of the identification document and, based on the comparing, results of the identity verification are provided.

Abstract: A data set may be compressed by predicting a value for the values of the data set. A comparative value may then be determined between a predicted value and an actual value for the particular points of the data set. The comparators for the particular points of the data set may then be encoded.

Abstract: Methods and apparatuses for performing biometric determinations using optical spectroscopy of tissue. The biometric determinations that are disclosed include determination or verifications of identity, estimation of age, estimation of sex, determination of sample liveness and sample authenticity. The apparatuses disclosed are based upon discrete light sources such as light emitting diodes, laser diodes, vertical cavity surface emitting lasers, and broadband sources with multiple narrow-band optical filters. The multiple light sources are encoded in a manner that the tissue response for each source can be efficiently measured. The light sources are spaced at multiple distances from a detector to contribute differing information to the biometric determination task as do light sources with different wavelength characteristics.

Abstract: An image recognizing apparatus comprises: an extracting unit extracting a partial feature quantity from an object in each of a registration image and an input image; a compressing unit reducing a dimension of the extracted partial feature quantity; a storing unit storing the partial feature quantity of the object in the registration image of which the dimension has been reduced; and a calculating unit calculating similarity between the object in the input image and the object in the registration image, using the partial feature quantity of the object in the input image of which the dimension has been reduced and the partial feature quantity of the object in the stored registration image. The compressing unit switches the reduction of the dimension of the partial feature quantity using a preset dimension compression parameter and the reduction of the dimension of the partial feature quantity by dynamically generating a dimension compression parameter.

Abstract: Methods, systems and apparatus for refining image relevance models. In general, one aspect includes receiving a trained image relevance model that generates relevance measures of content feature values of images to a query, identifying a first threshold number of common content feature values for the set of training images, the common content feature values being identified as a set of content feature values that are each shared by at least a portion of the training images, identifying a subset of the set of training images having a quantity of the common content feature values greater than a second threshold number of content features values, and generating a re-trained image relevance model based on content feature values of the set of training images, wherein content feature values of the subset of training images are weighted higher than content feature values of the training images not in the subset.

Abstract: Methods, systems, and apparatus, including computer program products, for ranking search results for queries. The method includes calculating a visual similarity score for one or more pairs of images in a plurality of images based on visual features of images in each of the one or more pairs; building a graph of images by linking each of one or more images in the plurality of images to one or more nearest neighbor images based on the visual similarity scores; associating a respective score with each of one or more images in the graph based on data indicative of user behavior relative to the image as a search result for a query; and determining a new score for each of one or more images in the graph based on the respective score of the image, and the respective scores of one or more nearest neighbors to the image.

Abstract: Methods and systems for classifying defects detected on a wafer are provided. One method includes inputting information for defects detected on a wafer into each of at least two defect classifiers included in a composite defect classifier. Such a method also includes, for at least one of the defects that is assigned to two or more bins in the composite defect classifier, determining a bin for the at least one of the defects based on a rank assigned to the two or more bins. The rank is assigned to the two or more bins based on one or more characteristics determined for the two or more bins, and the one or more characteristics are determined based on a comparison of predetermined defect classifications for defects in a training set and defect classifications determined for the defects in the training set by the at least two defect classifiers.

Abstract: An example is an image processing method including a step of acquiring data containing an image, an extraction step of extracting a first image region from the acquired data based on the type of software for generating the acquired data, an extraction step of extracting a second image region the same as or similar to each of images held in a storage unit from the acquired data by comparing the acquired data and each of the images, an extraction step of extracting a third image region the same as or similar to each of the images from the acquired data by comparing the image feature amount of the acquired data and the image feature amount of each of the images, and a step of identifying an image in the acquired data to be stored in the storage unit based on the image regions and reliabilities of the extraction steps.

Abstract: Systems and methods may automatically evaluate printed line weights in an image composition. An image composition may be received and the number of horizontal and vertical rows of pixels may be determined. The number of positive pixels in each of the horizontal and vertical rows may then be determined. An actual size of a pixel may be calculated. The actual size of a pixel may be multiplied by the number of positive pixels in each of the horizontal rows and each of the vertical rows to determine a positive line weight of each of the horizontal rows and each of the vertical rows. A predetermined minimum permissible positive line weight for the image composition may be identified and compared to the positive line weight of each of the horizontal rows and each of the vertical rows.

Abstract: An imaging module takes an image of an area which includes the tipping paper, the filter and the cigarette roll of a smoking article seated on the rolling drum. A processing module processes the image taken by the imaging module. The area of the image taken by the imaging module is divided into a first area in which the tipping paper is positioned and a second area in which the filter is positioned. The processing module determines a defect by detecting the image on the first area and the second area.

Abstract: A method and image processing system for removing a visual object from an image, e.g., a moving image, is described. An image is provided in which a visual object to be removed is selected, for which a mask is determined. Pixels outside the mask that are intended to be used for replacing pixels inside the mask are selected, based on a similarity measure, comprising an appearance similarity measure representing the visual similarity between a previously selected pixel for replacing the pixel to be replaced and the pixel to be selected, and a geometry similarity measure, representing the closeness of the pixel to be selected to the pixel among the pixels outside the mask that was previously used for replacing the pixel adjacent to the pixel to be replaced. The pixels inside the mask are replaced by copying the properties of the selected pixels to the respective pixels to be replaced.

Abstract: A method of predicting a radiation pattern emitted by an energy applicator includes the steps of providing thermal profile data for an energy applicator, determining a specific absorption rate around the energy applicator as a function of the thermal profile data, and generating a simulated radiation pattern for the energy applicator as a function of the determined specific absorption rate.

Abstract: Methods and systems for moving object localization include estimating a ground plane in a video frame based on a detected object within the video frame and monocular structure-from-motion (SFM) information; computing object pose for objects in the frame based on the SFM information using dense feature tracking; and determining a three-dimensional location for the detected object based on the estimated ground plane and the computed object pose.