Abstract: Systems, methods, devices and computer program products are provided that improve stego key management of watermarking systems and reduce the impact of leaked secrets related to watermark embedding and extraction operations. In the event that a watermark extractor is compromised and its extraction stego key is revealed, new extraction stego key sets are generated and assigned to a particular group of devices with similar security features. The new extraction stego key sets have significant overlap with one another, and can be retired once a device within the particular group of devices is compromised. The described techniques are complementary to other security enhancement practices, such as obfuscation and tamper resistant techniques, to strengthen the security of a watermarking system.

Abstract: The invention relates to an imaging system for imaging an object. Projection data of the object are acquired by using a radiation source emitting primary radiation (14) from a primary focal spot (15) and unwanted secondary radiation (16) from secondary focal spots (17). A first image of the object is reconstructed from the acquired projection data, a forward projection of the secondary radiation through the first image is simulated for generating secondary projection data, and a second image is generated based on the acquired projection data and the secondary projection data. Since the secondary projection data, which can generally cause image artifacts, are determined, the reconstruction unit can consider these unwanted secondary projection data while reconstructing the second image, in order to reduce the influence of the secondary projection data on the reconstructed second image, thereby improving the image quality.

Abstract: After selecting two or more image series for comparison, images of the image series are interleaved so that they are alternatively displayed in a comparison pane on a display device. In one embodiment, after one or more image series are selected for comparison, an interleaved image series is created containing each of the images of the one or more selected image series, or, alternatively, the interleaved image series comprises links to the images arranged in the interleaved pattern. If differences exist in the images of the multiple image series, these differences may be more easily detectable as the display device cycles between the images. Comparison of images in an interleaved image series may be more advantageous if the images of each selected image series are of a common anatomical area, common image size, and the images are in the same order.

Abstract: An example collation apparatus includes a user information storage medium and processing circuitry. The processing circuitry is configured to at least receive a captured image including a face of a user and a non-facial object; detect a face region from the image; set an object region corresponding to the location of the non-facial object in the image; extract a face feature vector from the face region and collate the extracted face feature vector with face feature vectors stored in the user information storage medium; extract an object feature vector from the object region and collate the extracted object feature vector with object feature vectors stored in the user information storage medium; and calculate a collation result of the user using at least one of a collation result of face feature vectors and a collation result of object feature vectors.

Abstract: An information processing device according to an embodiment of the present invention includes a detection unit, a calculation unit, a determination unit, and an estimation unit. The detection unit detects each three-dimensional position of a plurality of parts of an instruction object for indicating an image output surface. The calculation unit calculates an intersection point of a direction indicated by the instruction object and the image output surface based on each three-dimensional position of the parts of the instruction object. The determination unit determines whether the intersection point is within a predetermined range on the image output surface. The estimation unit estimates a position indicated by the instruction object on the image output surface based on the determination made by the determination unit.

Abstract: There is provided an image processing method including analyzing contrast according to a spatial frequency of an input image for each RGB pixel, referencing a database in which a relationship between a crosstalk degradation amount and a disparity transition for each RGB pixel is stored in association with contrast according to spatial frequencies of various images, and acquiring a relationship between a crosstalk degradation amount and a disparity transition for each RGB pixel, the relationship corresponding to the contrast according to the spatial frequency of the input image, integrating the relationship between the crosstalk degradation amount and the disparity transition, the relationship having been acquired for each RGB pixel, and calculating disparity corresponding to a predetermined threshold set to the crosstalk degradation amount in the integrated relationship between the crosstalk degradation amount and the disparity transition.

Abstract: A system capable of determining which recognition algorithms should be applied to regions of interest within digital representations is presented. A preprocessing module utilizes one or more feature identification algorithms to determine regions of interest based on feature density. The preprocessing modules leverages the feature density signature for each region to determine which of a plurality of diverse recognition modules should operate on the region of interest. A specific embodiment that focuses on structured documents is also presented. Further, the disclosed approach can be enhanced by addition of an object classifier that classifies types of objects found in the regions of interest.

Abstract: A display device and a method of controlling therefor are disclosed. A display device includes a main display unit configured to receive an input of at least one fingerprint and display information, a sub display unit configured to be exposed from a stored position and a controller configured to set a mode based on the inputted at least one fingerprint. If an inputted first fingerprint is matched with a fingerprint of a group of registered fingerprints, the controller is configured to set a first mode. If an inputted first fingerprint and a second fingerprint are matched with fingerprints of the group of the registered fingerprints, the controller is configured to set a second mode.

Abstract: A method for matching a pattern to a multi-view sequence includes receiving a multi-view sequence which includes a plurality of sequences. Each sequence includes symbols drawn from a respective alphabet. A pattern to be matched on the multi-view sequence is received. The pattern includes a sequence of symbols drawn from a plurality of the alphabets. Offsets are assigned to the symbols as a function of a latest position of the symbol in the pattern or a length of the pattern otherwise. The multi-view sequence is traversed with the pattern to identify index positions in the sequence at which the pattern matches the corresponding part of the multi-view sequence. The pattern is shifted between index positions by a shift which is based on a minimum of the offsets for those of the symbols of the plurality of sequences that are aligned with a last of the symbols in the pattern.

Abstract: A pattern processing device includes: an input unit to input an input image containing a plurality of pattern elements; an extraction unit that calculates edge intensities of pixels from the input image so as to extract edge pixels; an evaluation unit that obtains evaluation values for determining whether the pixels are foreground pixels or background pixels, based on comparison result between first thresholds set corresponding to the edge pixels and pixel values of pixels contained in vicinity regions of the edge pixels; a binarization determining unit that determines whether the pixels are the foreground pixels or the background pixels by comparing the evaluation values with a predetermined second threshold, and a coupling component extraction unit that extracts pixel coupling components obtained by coupling the pixels adjacent in any direction among the pixels determined to be the foreground pixels.

Abstract: A method for determining a combined data record for an object using individual data records based on individual scans of the object, the scans being measured using at least one sensor. To avoid accumulating errors and allow individual data to be rectified or corrected, first partial scans of the object are measured using at least one first sensor and are aligned relative to one another and/or corrected using second partial scans performed by at least two second sensors that are stationary relative to one another, and the individual data records for the combined data record are determined from the aligned and/or corrected partial scans.

Abstract: Provided herein are devices, systems, and methods for the detection of objects (e.g., laptop computers, electronics, explosives, etc.) within luggage. In particular, methods are provided for the detection of laptop computers within luggage (e.g., luggage containing other metallic objects and/or electronic devices).

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: Methods and systems for measuring group behavior are provided. Group behavior of different groups may be measured objectively and automatically in different environments including a dark environment. A uniform visible signal comprising images of members of a group may be obtained. Facial motion and body motions of each member may be detected and analyzed from the signal. Group behavior may be measured by aggregating facial motions and body motions of all members of the group. A facial motion such as a smile may be detected by using the Fourier Lucas-Kanade (FLK) algorithm to register and track faces of each member of a group. A flow-profile for each member of the group is generated. Group behavior may be further analyzed to determine a correlation of the group behavior and the content of the stimulus. A prediction of the general public's response to the stimulus based on the analysis of the group behavior is also provided.

Abstract: A fingerprint image obtaining unit 1 obtains a fingerprint image of multiple fingers. A vein image obtaining unit 3 obtains a palm vein image. An authentication information DB 6 stores reference vein characteristic information, and a reference direction of a predetermined finger in a reference palm vein image for which the reference vein characteristic information is obtained. A reference obtaining unit 20 detects a longitudinal direction of a predetermined finger based on the fingerprint image. A position correcting unit 40 corrects the palm vein image based on the longitudinal direction of the predetermined finger, and the reference direction of the predetermined finger. A vein characteristic information extracting unit 4 obtains vein characteristic information from a corrected palm vein image. A verification processing unit 32 matches the vein characteristic information obtained with the reference vein characteristic information for authentication.

Abstract: An image sensor for body protection gear and equipment for monitoring and detection of impacts from surrounding object. The image sensor comprises multiple image processors to record images, use images to estimate and calculate environment parameters, and a controller to process the data. The controller utilizes the received information from image processors to estimate and calculate various environmental parameters which can be used to activate certain functions and devices.

Abstract: A recording medium storing an image processing program according to one aspect of the present invention is a non-transitory computer-readable medium storing an image processing program to make a computer execute image processing on an image group on one timeline, the image processing program making the computer execute deriving a difference value that is based on a difference between pixel values of images that are adjacent in time series in the image group, and displaying a time-series difference image showing a time-series change in the difference value.

Abstract: An electronic device may include a finger biometric sensor to sense a user's finger adjacent thereto, and a memory for storing finger matching biometric data and a subset of finger matching biometric data. The electronic device may include a processor coupled to the finger biometric sensor to acquire finger matching biometric data from the finger biometric sensor, and perform a finger pre-matching between a subset of the acquired finger matching biometric data and the subset of stored finger matching biometric data and based upon context data to generate pre-match data. The processor may also perform a finger matching between the acquired finger biometric data and the stored finger matching biometric data based upon the pre-match data.

Abstract: A method of classifying the defects on a wafer having some same chips and corresponding system is provided. After receiving images formed by scanning the wafer using a charged particle beam, these images are examined such that both defective images and defect-free images are found. Then, the defect-free images are translated into a simulated layout of the chip, or a database is used to provide the simulated layout of the chip. Finally, the defects on the defective images are classified by comparing the images with the simulated layout of the chip. The system has some modules separately corresponds to the steps of the method.

Abstract: The invention is directed to a reduction in the influence on a pathological diagnosis when an image reading apparatus is exchanged. In order to solve the above-mentioned problem, there is provided an image processing apparatus that processes a biological image generated by capturing an image of a biological specimen in an image reading apparatus, including: an acquisition unit that acquires identification information of the image reading apparatus; a determination unit that determines a type of biological tissue included in the biological image; and a correction unit that adds a correction process to the biological image in correspondence with the identification information of the image reading apparatus and the type of biological tissue.