Abstract: Acquired mask data of a defect portion is sent to a simulated repair circuit 300 to be simulated. The simulation of the acquired mask data 204 is returned to the mask inspection results 205 and thereafter sent to a wafer transfer simulator 400 along with a reference image at the corresponding portion. A wafer transfer image estimated by the wafer transfer simulator 400 is sent to a comparing circuit 301. When it is determined that there is a defect in the comparing circuit 301, the coordinates and the wafer transfer image which is a basis for the defect determination are stored as transfer image inspection results 206. The mask inspection results 205 and the transfer image inspection result 206 are then sent to the review device 500.

Abstract: Dynamically configuring OCR processing may include determining a device type and determining whether to perform optical character recognition (OCR) processing of the received image locally based on one or more OCR parameters. Example OCR parameters may include the device type, the image type, the size of the received image, the available amount of the memory, the measured/benchmarked throughput of OCR processing on the device relative to an OCR server throughput and network throughput, and/or the current level of network connectivity. If it is determined that OCR processing of the received image should be performed locally, the device may compute one or more name-value pairs corresponding to the received image and transmit the name-value pairs to a remote data server for processing.

Abstract: Methods, systems, and apparatus for testing content rendering are described. A method includes receiving input specifying a change to a parameter relating to display of content in a webpage, in response to receiving the input, generating a test image of the webpage including the content, comparing a target image of the content with the generated test image to determine whether the generated test image includes the target image of the content, and selectively providing a failure notification based upon a result of the comparison.

Abstract: A server determines a plurality of faceprints representing a plurality of users to be recognized at a client device. Each faceprint contains a number of reference images for a given user that are used to recognize facial images of the user detecting in media captured at the client device. The faceprints delivered to the client device are determined for the client device based on the users likely to be detected in images captured at the client device. The reference images with a given faceprint delivered to the client device are selected by the server based on their recognition value in identifying the users likely to be detected in images captured at the client device.

Abstract: A method is described for determining eye location on a frontal face digital image in order to validate the frontal face as such and determine points of reference. The method consists of the following steps: obtain a frontal face digital image that is W pixels wide and H pixels high in grayscale, where the top left vertex of the digital image is considered to be the reference source; detect each eye, starting from a search subimage of the frontal face digital image, delivering approximate coordinates if both eyes have been detected, or an arbitrary predetermined value to indicate no eye detection; locate the iris of each eye, if both eyes have been detected, starting from the approximate coordinates, validating the frontal face digital image by delivering eye positions; or, validate the frontal face digital image if one or both eyes have not been detected by submitting a search subimage defined by an area resulting from centering a square of area L in the original image, where L=0.

Abstract: Disclosed is an image creating device including a first obtaining unit which obtains an image including a face, a first extraction unit which extracts a face component image relating to main components of the face in the image and a direction of the face, a second obtaining unit which obtains a face contour image associated to the face in the image and a second extraction unit which extracts a direction of a face contour in the face contour image. The image creating device further includes a converting unit which converts at least one of the face component image and the face contour image based on the both directions of the face and the face contour and a creating unit which creates a portrait image by using at least one of the face component image and the face contour image being converted by the converting unit.

Abstract: A first simulated inspection is conducted to provide a first waveform data set associated with the at least one irregularity parameter. The first simulated inspection is conducted using a first evaluation setting. A first image is produced based on the first waveform set, and it is determined whether a quality of the first image satisfies a predetermined threshold.

Abstract: The present disclosure is directed towards methods and systems for capturing artifact-free biometric images of an eye. The eye may be in motion and in the presence of partially-reflective eyewear. The method may include acquiring, by a first sensor, a first image of an eye while the eye is illuminated by a first illuminator. The first image may include a region of interest. The first sensor may be disposed at a fixed displacement from the first illuminator and a second sensor. The second sensor may acquire, within a predetermined period of time from the acquisition of the first image, a second image of the eye. The second image may include the region of interest. An image processor may determine if at least one of the first and second images include artifacts arising from one or both of the first illuminator and eyewear, within the region of interest.

Abstract: Biometric matching technology, in which a watch list is managed, multiple images of a potential suspect are accessed, and parallel pre-processing of the multiple images is controlled. Based on the pre-processing, an image of the potential suspect to use in matching against the watch list is determined and the determined image is used to search sorted biometric data included in the watch list. A subset of persons from the watch list is identified based on the search and parallel analysis of the determined image of the potential suspect against detailed biometric data associated with the subset of persons in the watch list is controlled. Based on the parallel analysis, it is determined whether the potential suspect matches a person in the watch list and a result is outputted based on the determination.

Abstract: The present invention relates to a system and a method for comparing information contained on at least two documents belonging to an entity. The present invention includes at least one device configured to receive information from at least one first document and at least one second document; then, compare at least one first document information and at least one second document information; and determine whether at least one second document contains at least one first document information. The present invention then outputs a result of whether the at least one second document contains at least one first document information.

Abstract: A system is provided to correlate a medication package with a prescribed medication for a patient. The medication package accommodates an intended patient medication. The system includes an optical imager adapted to read an encoded symbol character comprising encoded patient information and further adapted to image an attribute of the medication package. The optical imager comprises a two-dimensional image sensor array and an imaging lens for focusing an image on the two-dimensional image sensor array. The two-dimensional image sensor array has a plurality of pixels formed in a plurality of rows and columns of pixels. The optical imager further includes a digital link to transmit a segment of data. The segment of data includes the patient information encoded in the encoded symbol character and the attribute of the medication package.

Abstract: Inputs of a plurality of images constituting a group of images of items regarded as non-defective items are accepted and stored, and a defect threshold for detecting a defective portion of an inspection object and a determination threshold for making a non-defective/defective determination are set based on the plurality of stored images. A defective item image which is an image of an item determined as a defective item is previously stored and when an input of an image newly acquired by capturing an inspection object is accepted, non-defective item learning processing is performed by use of a plurality of stored images including the image whose input has been accepted, to at least reset the defect threshold. A defective portion is re-detected based on the reset defect threshold, to determine whether or not the stored defective item image is an image of a defective item based on the set determination threshold.

Abstract: A system and a method are disclosed that determine images with co-occurrence groups of individuals from an image collection. A value of a similarity metric is computed for each pair of images of the image collection, the value of the similarity metric being computed based on a comparison of the number of individuals in common between the images of the pair and the total number of individuals identified in both images of the pair. The collection of images is clustered based on the computed values of the similarity metric. At least one co-occurrence group is determined based on the results of the clustering, where a co-occurrence group is determined as a cluster of images that have a similar combination of individuals.

Abstract: A method and system for orientation compensation of a mobile device within an environment includes providing a plurality of reference markers having straight edges and having a defined, regular orientation with respect to the environment. Information about the orientation of the reference markers is supplied to a mobile device operating within the environment. An orientation sensor disposed within the mobile device estimates an orientation of the mobile device. An image of one reference marker is captured, and at least one edge of that reference marker is located. The estimated orientation is compensated by correcting for the reference marker orientation and aligning the corrected estimated orientation to the at least one edge of the reference marker that is closest to being parallel to the corrected estimated orientation.

Abstract: An apparatus and method for automatically recognizing a QR code without a need to control the distance for recognition in relation to one QR code or two or more QR codes. The apparatus includes a photographing unit obtaining a surrounding image the QR code including recognition points and surroundings, a QR code recognition unit converting the surrounding image into a grayscale image of a pixel unit, converting the grayscale image into a histogram indicative of a distribution map according to the luminosity of each pixel, extracting only pixels having a luminosity value concentration level corresponding to a threshold or higher based on the histogram, setting the extracted pixels as a candidate pixel group, searching the set candidate pixel group for recognition points through a recognition marker, when the recognition points are conceived, recognizing a region in which the conceived recognition points are placed as a QR code.

Abstract: A method of analyzing a depth image in a digital system is provided that includes detecting a foreground object in a depth image, wherein the depth image is a top-down perspective of a scene, and performing data extraction and classification on the foreground object using depth information in the depth image.

Abstract: A system and an article of manufacture for de-duplicating virtual machine image accesses include 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: Disclosed are systems and methods for configuring a vision detector, wherein a training image is obtained from a production line operating in continuous motion so as to provide conditions substantially identical to those that will apply during actual manufacturing and inspection of objects. A training image can be obtained without any need for a trigger signal, whether or not the vision detector might use such a signal for inspecting the objects. Further disclosed are systems and methods for testing a vision detector by selecting, storing, and displaying a limited number of images from a production run, where those images correspond to objects likely to represent incorrect decisions.

Abstract: A method and system for calculating oblong-shape rotation angles from optical image data of arbitrary size for user interface applications is described without the need of eigenvector routines and storage of the image data. The oblong shape may be of arbitrary size and location and need not be precisely elliptical. A few running sums are calculated and stored throughout each scan, and the results are obtained in closed form by simple post-scan computation. An algorithmic embodiment can execute on one or more hardware processors with limited or otherwise constrained computation power, available instruction cycles, available memory, etc. Hardware processors may CPUs found in desktops, laptops, tablets, or handheld computing devices. The resulting arrangement may be used for touch or optical user interfaces and other purposes.

Abstract: In one embodiment, a method is disclosed for performing a video processing. The method can extract one or more common video segments. The method can select a common summarization segment based on a first summarization score. The method can extract one or more individual video segments in which the number of segments included therein is not more than a third threshold value that is less than a second threshold value. The method can select an individual summarization segment based on a second summarization score. In addition, the method can integrate the common summarization segment and the individual summarization segment to create the summary video.