Abstract: A method for controlling the authorization of a person to access a secure area, particularly a cockpit of a passenger aircraft, is provided. According to the method, an access control apparatus for detecting a set of biometric features is provided, which apparatus can be enabled by entering a predetermined access code. The access code is transferred by the person to the access control apparatus. The access control apparatus detects a set of biometric features of the person transferring the access code. The set of biometric features of the person are saved. Access for the person for a predetermined time period is subsequently enabled. Solely verifying the set of biometric features of the person seeking access allows access to be enabled again for the person during the predetermined time period.

Abstract: Provided is an image processing apparatus including a generation unit configured to generate a background model of a multinomial distribution from an acquired image, and generate a background, and a determination unit configured to determine whether a background with high reliability can be generated from the background model generated by the generation unit.

Abstract: Disclosed are methods and apparatus for automatic optoelectronic detection and inspection of objects, based on capturing digital images of a two-dimensional field of view in which an object to be detected or inspected may be located, analyzing the images, and making and reporting decisions on the status of the object. Decisions are based on evidence obtained from a plurality of images for which the object is located in the field of view, generally corresponding to a plurality of viewing perspectives. Evidence that an object is located in the field of view is used for detection, and evidence that the object satisfies appropriate inspection criteria is used for inspection. Methods and apparatus are disclosed for capturing and analyzing images at high speed so that multiple viewing perspectives can be obtained for objects in continuous motion.

Abstract: A method and apparatus for matching key pixels of images and a method and apparatus for matching images are disclosed. The method for matching key pixels of images includes: determining, for a key pixel to be matched of a first image, a first eigenvector, in a set of eigenvectors of a second image, matching an eigenvector of the key pixel to be matched; determining a second eigenvector, in a set of eigenvectors of the first image, matching the first eigenvector; and determining the key pixel to be matched and a key pixel corresponding to the first eigenvector as a pair of matching pixels when a coordinate vector of the key pixel to be matched is the same as a coordinate vector of a key pixel corresponding to the second eigenvector.

Abstract: For each of a plurality of second images other than a first image in an image group having a plurality of images, a feature point pair is generated by associating a second feature point of the second image with a first feature point of the first image based on a feature amount of the second feature point. A feature point pair is detected from the generated feature point pairs, where a position of the second feature point in the detected feature point pair is located within a predetermined region. A region including first feature points of the first image is extracted, where in the extracted region, detection counts of the feature point pairs exceed a predetermined threshold.

Abstract: Provided is a method of inspecting a substrate. The method includes: receiving an image of a pad area of substrate; determining and registering a start point pixel; tracing pixels having the same gradation as the start point pixel; determining a boundary area; designating a direction code to next point pixel on the basis of a current point pixel; extracting maximum distance pixel coordinates; and detecting a defect of the pad area.

Abstract: An area where a specific object is captured is extracted as a specific area from the image of a frame of interest, and the evaluation value of the specific area is obtained using a predetermined evaluation formula. It is determined whether the evaluation value of the specific area in a frame preceding the frame of interest has exceeded a predetermined threshold. When it is determined that the evaluation value of the specific area has exceeded the predetermined threshold, the frame of interest is encoded to set the code amount of the specific area in the image of the frame of interest to be smaller than that of the specific area in the image of the frame preceding the frame of interest.

Abstract: A biometrics sensor module includes a housing, a biometrics sensor and a coupling electrode. The housing has a first surface and a second surface opposite to the first surface. The biometrics sensor has a sensing surface, which is disposed on the first surface of the housing and has sensing members arranged in an array. The coupling electrode is disposed on the first or second surface of the housing. Two regions, projected from the sensing surface and the coupling electrode to the second surface of the housing, do not overlap with each other. A coupling signal is provided to the coupling electrode and directly or indirectly couples the coupling signal to an object, so that the sensing members of the biometrics sensor sense biometrics messages of the object contacting with the second surface of the housing.

Abstract: An image transfer apparatus and a method thereof comprise: capturing at least one first image, wherein the first image includes at least one face image; performing a face detection to obtain at least one face feature; a database has at least one identification information which comprises at least one face photo and a corresponding communication information; comparing the face feature with the face photo saved in the database; retrieving the corresponding communication information and the identification information corresponding to the face photo, if the face feature matches the face photo; performing the face image processing corresponding to the identification information in the first image, so as to obtain at least one second image; transmitting each second image according to the communication information of the processed face image in the second image.

Abstract: There is provided an image processing device including a weight calculation unit that calculates a weight corresponding to each of a plurality of pixel values centering on a pixel of interest of an input image based on a feature amount calculated based on the plurality of pixel values centering on the pixel of interest, a regression coefficient reading unit that reads a regression coefficient stored for each class code determined based on a plurality of pixel values corresponding to the pixel of interest of the input image, and a pixel value calculation unit that calculates a pixel value of a pixel of interest of an output image by performing calculation using the plurality of pixel values, the weights, and the regression coefficients centering on the pixel of interest of the input image.

Abstract: Provided are an age estimation apparatus, an age estimation method, and an age estimation program capable of obtaining a recognition result closely matching the result perceived by human. An age estimation apparatus 10 for estimating an age of a person on image data includes a dimension compressor 11 for applying dimension compression to the image data to output low dimensional data; and an identification device 12 for estimating an age of a person on the basis of a learning result using a feature amount contained in the low dimensional data, wherein a parameter used for the dimension compression by the dimension compressor 11 and the feature amount used for age estimation by the identification device 12 are set on the basis of a result of an evaluation of a generalization capability using a weighting function that shows a degree of seriousness of an age estimation error for every age, and learning of the identification device 12 is performed on the basis of the weighting function.

Abstract: A system for performing an image categorization procedure includes an image manager with a keypoint generator, a support region filter, an orientation filter, and a matching module. The keypoint generator computes initial descriptors for keypoints in a test image. The support region filter and the orientation filter perform respective filtering procedures upon the initial descriptors to produce filtered descriptors. The matching module compares the filtered descriptors to one or more database image sets for categorizing said test image. A processor of an electronic device typically controls the image manager to effectively perform the image categorization procedure.

Abstract: This invention provides an instantaneous method for a user or traveler to obtain a meaning of a symbol that is unfamiliar to said user. The symbol is captured in a format that is easily transmitted to a remote database server. Together with the symbol, the GPS coordinates of the location of the symbol must be sent to the server. The server performs an image matching search, and then uses the location information (GPS) to resolve multiple matches and to determine the meaning of the symbol and instantaneously transmits in the language of their choice the meaning to the user requesting the search.

Abstract: What is disclosed is a system and method which reconstructs an N-pixel image of a scene such that Q pixel locations associated with identified regions of interest in a scene have a higher image quality when rendered relative to other pixels in the image. Acquisition and adaptive-quality compression are performed simultaneously by semi-synchronously or asynchronously temporally modulating an ordered set of sampling functions used to spatially modulate a pattern of light. The teachings hereof improve compression efficiency of a compressed sensing framework while improving encoding efficiency with respect to traditional compressed sensing techniques.

Abstract: An apparatus includes a first acquisition unit configured to acquire main object information specifying a main object in generation of a layout image, a second acquisition unit configured to acquire object correlation information specifying an object having a correlation with the main object, an extraction unit configured to extract at least one image including the main object and at least one image including the object having the correlation with the main object from a plurality of images based on the acquired main object information and the acquired object correlation information acquired, and a generation unit configured to generate, using a layout template, a layout image in which the at least one image extracted by the extraction unit and including the main object and the at least one image extracted by the extraction unit and including the object having the correlation with the main object are laid out therein.

Abstract: An interactive concept learning image search technique that allows end-users to quickly create their own rules for re-ranking images based on the image characteristics of the images. The image characteristics can include visual characteristics as well as semantic features or characteristics, or may include a combination of both. End-users can then rank or re-rank any current or future image search results according to their rule or rules. End-users provide examples of images each rule should match and examples of images the rule should reject. The technique learns the common image characteristics of the examples, and any current or future image search results can then be ranked or re-ranked according to the learned rules.

Abstract: Disclosed herein are methods, systems, and computer readable media for locking a computing device. Periodic images are received from a camera on a computing device. Each of the images is compared to a stored image of a user. A determination is made that one of the images does not match the stored image, and the computing device is locked upon determining that one of the images does not match the stored image.

Abstract: According to one embodiment, a system stores a plurality of contents in a storage medium, each content includes handwritten data including stroke data corresponding to strokes which are handwritten, image data corresponding to the strokes, and retrieval information for retrieving the handwritten data. The system provides, upon receiving a retrieve request including a character string from a terminal, to the terminal either the handwritten data in the content corresponding to first retrieval information, the first retrieval information corresponding to the character string from among retrieval information of the plurality of contents, or the image data in the content corresponding to the first retrieval information.

Abstract: Systems, methods, and computer storage mediums are provided for matching multiple photographs together. An example method includes receiving a first collection of photographic images. The photographic images in the first collection are clustered into one or more composite sets of photographic images based on a comparison of the metadata associated with each photographic image in the first collection meeting a predetermined similarity threshold. An image overlap is determined between each photographic image within each of the one or composite sets of photographic images. When the image overlap exceeds a predetermined image overlap threshold, a pair of photographic images are matched, for all of the photographic images within each composite set of photographic images to form one or more composite images.

Abstract: A computer-implemented method for automatically retrieving information regarding optical properties of a scattering medium including receiving a first digital image and a first image quality value associated with the first digital image and sharpness of an edge of the first digital image, producing an optimized image, transforming the optimized image into an optimized optical transfer function, receiving a second digital image and a second image quality value associated with the second digital image and sharpness of an edge of the second digital image, identifying either the first or second digital image as an optimized digital image, and transforming the optimized optical transfer function into an optimized value of the optical parameter.