Abstract: The present invention relates to a method for detecting a mark that is invisible in the visible light region. Here, the invisible mark is displayed on a card using a characteristic according to which the color of light is changed by means of a refractive index difference according to media in the visible light region. According to the method for detecting the invisible mark, it may be quickly determined whether the card is a counterfeit card in an investigation. In addition, since it is unnecessary to repeatedly inspect the card to be checked using various wavelengths, the time required for determining whether the card is a counterfeit card may be reduced.

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 is performed to refocus a digital photographic image comprising a plurality of pixels. In the method, a set of images is computed corresponding to the digital photographic image and focused at different depths. Refocus depths for at least a subset of the pixels are identified and stored in a look-up table. At least a portion of the digital photographic image is refocused at a desired refocus depth determined from the look-up table.

Abstract: In order to be able to measure a distance with disparity resolution of a stereo camera or less and precisely measure a relative distance to a target even in the event of degradation of the imaging condition, a distance calculator includes a monocular distance calculation section 203, a stereo distance calculation section 204, a blurriness level calculation section 201, a distance estimation section 202, and an output distance calculation section 206. The monocular distance calculation section 203 calculates the distance to a target based on image information captured by a camera 101 or 102. The stereo distance calculation section 204 calculates the distance to the target based on image information captured by the two cameras 101 and 102. The blurriness level calculation section 201 calculates the blurriness level of the image information captured by the image information captured by the cameras 101 and 102.

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: A method and software for the simultaneous pose and points-correspondences determination from a planar model are disclosed. The method includes using a coarse pose estimation algorithm to obtain two possible coarse poses, and using each one of the two coarse poses as the initialization of the extended TsPose algorithm to obtain two candidate estimated poses; selecting one from the two candidate estimated poses based on the cost function value. Thus, The method solves the problem of pose redundancy in the simultaneous pose and points-correspondences determination from a planar model, i.e., the problem that the numbers of estimated poses increase exponentially as the iterations go. The disclosed embodiment is based on the coplanar points, and does not place restriction on the shape of a planar model. It performs well in a cluttered and occluded environment, and is noise-resilient in the presence of different levels of noise.

Abstract: The invention relates to a method for enabling the authentication or identification of a person (1) using a first electronic device (2) comprising an image-capturing unit and a data-transmission unit, the method including a step of registering said person in a verification system (3). The registration step includes the steps of: capturing, using the image-capturing unit of said electronic device, a first image (h) of at least one object (O) of any kind that is secretly selected by the person; and transmitting said first image to the verification system by means of said data transmission device of said first electronic device.

Abstract: Providing improved card art for display comprises receiving, by one or more computing devices, an image of a card and performing an image recognition algorithm on the image. The computing device identifies images represented on the card image and comparing the identified images to an image database. The computing device determines a standard card art image associated with the identified image based at least in part on the comparison and associates the standard card art image with an account of a user, the account being associated with the card in the image. The computing device displays the standard card art as a representation of the account.

Abstract: A technique for selectively distributing OCR and/or machine language translation tasks between a mobile computing device and server(s) includes receiving, at the mobile computing device, an image of an object comprising a text. The mobile computing device can determine a degree of optical character recognition (OCR) complexity for obtaining the text from the image. Based on this degree of OCR complexity, the mobile computing device and/or the server(s) can perform OCR to obtain an OCR text. The mobile computing device can then determine a degree of translation complexity for translating the OCR text from its source language to a target language. Based on this degree of translation complexity, the mobile computing device and/or the server(s) can perform machine language translation of the OCR text from the source language to a target language to obtain a translated OCR text. The mobile computing device can then output the translated OCR text.

Abstract: A technique for selectively distributing OCR and/or machine language translation tasks between a mobile computing device and server(s) includes receiving, at the mobile computing device, an image of an object comprising a text. The mobile computing device can determine a degree of optical character recognition (OCR) complexity for obtaining the text from the image. Based on this degree of OCR complexity, the mobile computing device and/or the server(s) can perform OCR to obtain an OCR text. The mobile computing device can then determine a degree of translation complexity for translating the OCR text from its source language to a target language. Based on this degree of translation complexity, the mobile computing device and/or the server(s) can perform machine language translation of the OCR text from the source language to a target language to obtain a translated OCR text. The mobile computing device can then output the translated OCR text.

Abstract: Important information about an object is detected using less arithmetic processing. An object detection unit generates an edge image from a color image. The object detection unit evaluates symmetry of an image included in the edge image by performing processing in accordance with the position of a target pixel. The object detection unit identifies a symmetry center pixel forming an object having symmetry. The object detection unit detects an object width for each symmetry center pixel. The object detection unit identifies the width of the object in the vertical direction based on the width of the symmetry center pixels in the vertical direction, and identifies the width of the object in the horizontal direction based on the object width identified for each symmetry center pixel.

Abstract: A system and method for object and area detection and replacement in an image includes identifying an object or area in one or more sequential images that form a moving image sequence and replacing some or all of the identified object or areas with another image such that the image looks to be part of the original composition of the original image including lighting, shadows, placement, occlusion, orientation, position, and deformation.

Abstract: An information processing system that acquires image data corresponding to a target object that is a target for gesture recognition captured by an imaging device; determines whether a distance between the target object and the imaging device is inadequate for recognition of a gesture made by the target object; and outputs a notification when the determining determines that the distance between the target object and the imaging device is inadequate for recognition of a gesture made by the target object.

Abstract: The invention relates to a ultraviolet anti-counterfeiting check verification method which solves subjective defect and time consuming problems of the traditional verification methods, and comprises the following steps: a. collecting ultraviolet gray level image by a ultraviolet scanner; b. extracting a first binary image from the ultraviolet gray level image; c. calculating a tilt angle of the first binary image; d. calculating tilt correction positions of pixels of the ultraviolet gray level image and the first binary image; e. determining a top left corner locating position of a first binary image rectangle; f. extracting a second binary image from the tilt corrected ultraviolet gray level image; g. performing position correction on the second binary image of a check to be verified; and h. calculating the matching degree between the second binary image of the check to be verified and a second binary image of a real check to verify authenticity.

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: Systems, methods, and devices are described for capturing compact representations of three-dimensional objects suitable for offline object detection, and storing the compact representations as object representation in a database. One embodiment may include capturing frames of a scene, identifying points of interest from different key frames of the scene, using the points of interest to create associated three-dimensional key points, and storing key points associated with the object as an object representation in an object detection database.

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: 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: Image inspecting apparatus compares first image data created as data representing a reference-image acting as an inspecting reference with second image data created as data representing an inspection-image acting as a target to automatically extract a difference point between first and second image data, and includes a storage means for the reference-and inspection-image, an image processing means for establishing correspondences between part of stored reference-image as first image data with part of stored target image as second image data at a pixel level to perform an image matching processing of them, a difference detecting means for comparing image-matched first and second image data to detect a difference between first and second image data, image producing means for comparing difference with a plurality of threshold values to produce error representing image data at each threshold value, and inspecting process using produced error representing image data at each threshold value.