Abstract: There is provided an image processing device including an image composition unit that generates a composite image by compositing a plurality of color images having differing color components and acquired by image capture, and a code recognition unit that, from the composite image, recognizes an information code formed by a plurality of cells.

Abstract: A system and method is provided wherein a device can be reprogrammed utilizing one or more programming symbols. A device subject to reprogramming can be a portable device. In one embodiment a device subject to reprogramming can be a portable symbol reading device capable of reading programming symbols.

Abstract: In a decoding method, photoelectric conversion is performed on light reflected by a code image, a read signal indicating intensity of the reflected light is produced, and the produced read signal is differentiated to produce a derivative signal. The inflection points of intensity of the reflected light in the read signal are detected from the derivative signal and peak levels, each of which is an extreme value of the intensity of the reflected light, the peak level corresponding to a width between the detected inflection points, are detected. A difference between the detected peak levels is then obtained and threshold values for decoding the read signal are set from the obtained difference. This enables the read signal to be decoded even when the code image is spotted with a stain or its printing quality is inferior or even when the read signal is read in its defocus state.

Abstract: One or more techniques, devices and/or systems are disclosed for mitigating a perceived electrical sensation for a relief print scanning device. A current determination component can be used to identify an electrical current configuration that provides a mitigated electrical sensation to the user, for use with an electroluminescent-based relief print scanning device. The electrical current configuration can be identified using one or more image characteristics of a relief print image, which is captured by the devices using the current configuration. A current adjusting component, can be operably coupled with the current determination component, and may be used to adjust the current configuration, where the adjustment can be based on current adjustment data that is provided by the current determination component, based on the image characteristics.

Abstract: An image analysis method includes acquiring an image of at least one frame that comprises pixels, setting at least one analytic region for the image of at least one frame, extracting data on the pixel corresponding to each analytic region, setting time intervals for data pairs for use in correlation calculations, performing a correlation calculation for each of the time intervals by use of the extracted data, and performing a fitting for each of the correlation calculation results.

Abstract: A method and system for automatic face recognition. A primary and a plurality of secondary video cameras can be provided to monitor a detection area. The primary video camera can detect people present in the detection zone. Data can be then transmitted to a prioritizor module that produces a prioritized list of detected people. The plurality of secondary video cameras then captures a high-resolution image of the faces of the people present in the detection area according to the prioritized list provided by the prioritizor module. The high-resolution images can be then provided to a face recognition module, which is used to identify the people present in the detection area.

Abstract: Systems and methods of providing an attractiveness analysis are disclosed. In some embodiments, an electronic analysis platform is configured to obtain image data and curvature data to provide an attractiveness analysis to a user via a physical interface. Curvature data could comprise any data indicative of a curvature of a physical feature or a depiction thereof, including shadow data and pixilation data.

Abstract: This disclosure relates to adaptively determining and improving the quality of a region of interest in video content. A region inspection component inspects regions of an image. A detection component determines chroma values contained in the regions. A comparison component compares the chroma values against a set of predetermined chroma values, and determines, based on the comparison, a set of regions of interest in the frame. An encoder encodes the regions of interest in the image at a higher or better quality than a remainder of the image.

Abstract: In an exemplary embodiment, software made in accordance with the present invention allows for template building, template matching, facial point detection, fitting a 3D face model, and other related concepts. Such techniques can be utilized, for example, in a process for fitting a deformable 3D face model to an image or video containing a face. Various corresponding and related methods and software are described.

Abstract: A pattern recognition apparatus that is lightweight for mounting, and reduces the effects of registration conditions or check conditions on recognition accuracy. Similarity sets for respective local features are calculated from a local feature of input data and local features of a plurality of pieces of dictionary data corresponding to the local feature of the input data. Integrated similarities are calculated by integrating a plurality of similarity sets in the local features according to a registration condition or a check condition. Dictionary data corresponding to the input data is identified based on the calculated integrated similarities.

Abstract: Techniques for human body pose estimation are disclosed herein. Depth map images from a depth camera may be processed to calculate a probability that each pixel of the depth map is associated with one or more segments or body parts of a body. Body parts may then be constructed of the pixels and processed to define joints or nodes of those body parts. The nodes or joints may be provided to a system which may construct a model of the body from the various nodes or joints.

Abstract: Disclosed is an orientation state estimation device capable of estimating with high accuracy the orientation state of a jointed body. An orientation state estimation device (100) estimates the orientation state of a body on the basis of image data of the body having multiple parts connected by joints. The device is provided with: a likelihood map generation unit (150) which, from the image data, for at least two parts of the jointed body, generates a likelihood map showing the plausibility distribution of where each part is most plausibly positioned; and an orientation state estimation unit (160) which, when a learning likelihood map, which is associated in advance with an orientation state, and an estimated likelihood map, which is generated on the basis of the image data, coincide to a high degree, estimates that the orientation state associated with said learning likelihood map is the orientation state of the object.

Abstract: A fused image of the person's hand is accessed, the fused image having been generated using a segmented graylevel image and a segmented color image. The hand in the fused image is identified. One or more finger tips and one or more finger valleys in the fused image are identified. One or more fingers of the hand are segmented, based on the identified finger tips and finger valleys. The one or more fingers of the hand are labeled. One or more features for each finger of the hand are determined.

Abstract: Technologies may provide for detecting, validating, or confirming the validity of a handwritten signature. A logic architecture may be employed to detect a digital handwritten signature and validation data associated with a signature event, and to send the signature and the validation data to a trusted server. The logic architecture may validate the digital handwritten signature based on the signature and the validation data. Additionally, the logic architecture may present the digital handwritten signature with a reference to confirm the validity of the signature. The reference may be associated with identifying information corresponding to the event to confirm the validity of the signature.

Abstract: A valuable file identification method includes step 1: selecting a characteristic area of the valuable file, and extracting a valuable file characteristic for last classification; step 2: an input valuable file is fast classified according to the extracted valuable file characteristic in step 1 to gain the banknote kind, denomination, direction and image quality information of the valuable file, and the banknote with better image quality and bad image quality are selected; step 3: an image restoration technique is utilized based on a partial differential equation to restore the old banknote image; step 4: the new banknote is directly identified and the old banknote is identified via the restored image to judge the authenticity of the current banknote; step 5: a result is output. The method enables eliminating restoration treatment for images comprising good quality and uninterested area, and saving time and improving system processing efficiency.

Abstract: A method for analyzing an image of a real object, generated by at least one camera includes the following steps: generating at least a first image by the camera capturing at least one real object, defining a first search domain comprising multiple data sets of the real object, each of the data sets being indicative of a respective portion of the real object, and analyzing at least one characteristic property of the first image with respect to the first search domain, in order to determine whether the at least one characteristic property corresponds to information of at least a particular one of the data sets of the first search domain. If it is determined that the at least one characteristic property corresponds to information of at least a particular one of the data sets, a second search domain comprising only the particular one of the data sets is defined and the second search domain is used for analyzing the first image and/or at least a second image.

Abstract: A system and methods for progressive feature evaluation of an electronic document image to identify user supplied elements is disclosed. The system includes a controller in communication with a storage device configured to receive and accessibly store a generated plurality of candidate images. The controller is operable to analyze the electronic document image to identify a first feature set and a second feature set, wherein each of the first and second feature sets represent a different form feature, compare the first feature set to the second feature set, and define a third feature set based on the intersection of the first and second feature sets, wherein the third feature sets represents the user provided elements.

Abstract: A point-of-gaze detection device according to the present invention detects a point-of-gaze of a subject toward a surrounding environment. The device includes: an eyeball image obtaining means configured to obtain an eyeball image of the subject; a reflection point estimating means configured to estimate a first reflection point, at which incoming light in an optical axis direction of an eyeball of the subject is reflected, from the eyeball image; a corrected reflection point calculating means configured to calculate a corrected reflection point as a corrected first reflection point by correcting the first reflection point on the basis of a personal parameter indicative of a difference between a gaze direction of the subject and the optical axis direction of the eyeball; and a point-of-gaze detecting means configured to detect the point-of-gaze on the basis of light at the corrected reflection point and light in the surrounding environment.

Abstract: Images of an environment that are captured from two or more imaging devices may be captured and evaluated in order to identify a state of the environment, or an interaction that placed the environment in the state. The content of the images may be analyzed in order to recognize observed information or data expressed therein. The information or data may be associated with a given state according to one or more observation functions, and the state may be used to identify an action according to one or more transition functions. The observation function uses conditional probabilities to transfer the probability of making an observation by one imaging device to the observation made by the other imaging device. The observation functions and the transition functions may be derived based on historical training data including clips that are labeled to identify states or interactions expressed therein.

Abstract: Embodiments herein provide computer-implemented techniques for allowing a user computing device to extract financial card information using optical character recognition (“OCR”). Extracting financial card information may be improved by applying various classifiers and other transformations to the image data. For example, applying a linear classifier to the image to determine digit locations before applying the OCR algorithm allows the user computing device to use less processing capacity to extract accurate card data. The OCR application may train a classifier to use the wear patterns of a card to improve OCR algorithm performance. The OCR application may apply a linear classifier and then a nonlinear classifier to improve the performance and the accuracy of the OCR algorithm. The OCR application uses the known digit patterns used by typical credit and debit cards to improve the accuracy of the OCR algorithm.

Abstract: There is provided an image processing device including an image input unit configured to input captured image data of a portion of parking stalls that are compartmented at least by a first side line extending in a first direction and a second side line extending in the first direction, an image processing unit configured to generate edge image data by performing an edge extraction process on the captured image data, and a parking determination unit configured to obtain an integrated value of edge pixels of the first direction portion corresponding to the parking stalls in each position of a second direction that is orthogonal to the first direction based on the edge image data, and then to determine whether or not vehicles are parked in the parking stalls based on the obtained integrated value of each position of the second direction.

Abstract: Systems, methods, and computer readable media to improve image stabilization operations are described. Novel approaches for fusing non-reference images with a pre-selected reference frame in a set of commonly captured images are disclosed. The fusing approach may use a soft transition by using a weighted average for ghost/non-ghost pixels to avoid sudden transition between neighborhood and almost similar pixels. Additionally, the ghost/non-ghost decision can be made based on a set of neighboring pixels rather than independently for each pixel. An alternative approach may involve performing a multi-resolution decomposition of all the captured images, using temporal fusion, spatio-temporal fusion, or combinations thereof, at each level and combining the different levels to generate an output image.

Abstract: Provided is a method of generating a model, the method including generating a first model representing a change in the location or the shape of the region of interest during the respiration cycle, using diagnostic images that are obtained at two points of time in the respiration cycle and that represent the region of interest; extracting shape information of one or more tissues included in the region of interest at a shape information extractor, using a 3D ultrasound image that is obtained at one point of time in the respiration cycle; determining a characteristic point of the 3D ultrasound image corresponding to a characteristic point of the first model by matching the first model with the extracted shape information; and generating a second model by updating the first model with the determined characteristic point.

Abstract: A system and method for receiving an image of a product's packaging and extracting information (e.g., a set of facts) associated with a product from the image. The extracted information associated with the product may be added to a product profile if a confidence score associated with the extracted information is greater than or equal to a threshold.

Abstract: An image processing apparatus includes a feature value calculating section that calculates a feature value from an image picked up of a living mucous membrane, an extraction section that extracts a structure corresponding to the feature value, and a region division section that divides the structure into partial regions according to a predetermined condition.

Abstract: Specification covers new algorithms, methods, and systems for artificial intelligence, soft computing, and deep learning/recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text), background, relationship, position, pattern, and object), large number of images (“Big Data”) analytics, machine learning, training schemes, crowd-sourcing (using experts or humans), feature space, clustering, classification, similarity measures, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/ambiguities/fuzziness in language, Natural Language Processing (NLP), Computing-with-Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (e.g. tracking), image annotation, geometrical abstraction, image correction, semantic web, context analysis, data reliability (e.g., using Z-number (e.g.

Abstract: Embodiments of the subject technology provide for determining a region of a first acquired image based at least on a viewing mode and a set of respective positions of graphical elements to decrease the pre-processing time and perceived latency for the first image. One or more regions of text in the first image are detected, and a set of regions of text that overlap with the region of the image is determined and pre-processed. The subject technology may then pre-process an entirety of a subsequent image (e.g., to pick up missing text from the region of the first image). Thus, additional OCR results may be provided to the user by using the subsequent image(s) and merging subsequent results with previous results from the first image.

Abstract: The present disclosure proposes a method and an electronic device for detecting glare pixels of an image including an object and an electronic device using the same. The method includes the following steps. First, the image is processed to remove overexposed pixels from the image to generate a first image. The first image is processed to remove non-object pixels from the first image to generate an object pixel image. The glare pixels are detected from the object pixel image according to a saturation distribution threshold and an intensity distribution threshold. The present disclosure is able to adjust the saturation distribution threshold and the intensity distribution threshold dynamically and adaptively to satisfy various kinds of objects and ambient lighting conditions so as to improve the probability of successful detection and reduce the probability of false alarms on the glare pixels.

Abstract: The method for extracting salient object from stereoscopic video includes: dividing regions based on the similarity of color and the distance between pixels in a left-eye image and a right-eye image which are used for an input stereoscopic image; creating a disparity map based on a disparity obtained from a pixel difference of the left-eye image and the right-eye image; calculating a contrast-based saliency by comparing the divided regions and the divided regions of the disparity map; calculating a prior-knowledge-based saliency based on a prior-knowledge for the divided regions and the divided regions of the disparity map; and extracting salient regions of the image based on the contrast-based saliency and the prior-knowledge-based saliency.

Abstract: Methods and systems for efficiently and accurately detecting and identifying concealed materials. The system includes an analysis subsystem configured to process a number of pixelated images, the number of pixelated images obtained by repeatedly illuminating regions with a electromagnetic radiation source from a number of electromagnetic radiation sources, each repetition performed with a different wavelength. The number of pixelated images, after processing, constitute a vector of processed data at each pixel from a number of pixels. At each pixel, the vector of processed data is compared to a predetermined vector corresponding to a predetermined material, presence of the predetermined material being determined by the comparison.

Abstract: An object detection apparatus includes a storage section storing a plurality of selection patterns as combinations of one of a plurality of recognition dictionaries and one of a plurality of image recognition algorithms, a specifying means for specifying at least one of a distance from a position at which an input image is taken and a target corresponding to the detection object within the input image and a state of light of the input image, a selection means for selecting one from the plurality of the selection patterns based on at least one of the distance and the state of the light specified by the specifying means, and a detection means for detecting the detection object within the input image by performing an image recognition process using the image recognition dictionary and the image recognition algorithm included in the selection pattern selected by the selection means.

Abstract: Provided is a technology which enables further improvement of the accuracy of the determination in the pattern matching processing. A dictionary learning device 1 includes a score calculation unit 2 and a learning unit 3. The score calculation unit 2 calculates a matching score representing a similarity-degree between a sample pattern, which is a sample of a pattern which is likely to be subjected to a pattern matching processing, and a degradation pattern resulting from a degrading processing on the sample pattern. The learning unit 3 learns a quality dictionary based on the calculated matching score and the degradation pattern. The quality dictionary is a dictionary which is used in a processing to evaluate a degradation degree (quality) of a matching target pattern of being pattern of an object on which the pattern matching processing is carried out.

Abstract: A method of detecting a predefined set of characteristic points of a face from an image of the face includes a step of making the shape and/or the texture of a hierarchy of statistical models of face parts converge over real data supplied by the image of the face.

Abstract: Embodiments for image capture feedback are disclosed. In some embodiments, a computing system may receive a first image from an image capture device and generate a score for the first image. The computing system may generate a recommendation for an action, such that if the image capture device captures a second image after the action is performed, the score for the second image will be better than the score for the first image. The computing system may indicate the recommended action to the user on an output device. Other embodiments may be disclosed and/or claimed.

Abstract: Disclosed herein are methods and apparatus for obtaining at least one non-birefringence image and at least one birefringence image of a stained sample, and classifying regions of the stained sample into a plurality of classes based on the at least one non-birefringence image and the at least one birefringence image.

Abstract: A computer-implemented method for object recognition using a recursive cortical network comprising receiving an input image at an input module, applying a trained recursive cortical network (RCN) to the image using an inference module to activate child features of the RCN, selecting pools of the RCN containing the activated child features, propagating the selection of the pools to identify probabilities of one or more high-level features matching one or more objects in the input image.

Abstract: An electronic device and method identify a block of text in a portion of an image of real world captured by a camera of a mobile device, slice sub-blocks from the block and identify characters in the sub-blocks that form a first sequence to a predetermined set of sequences to identify a second sequence therein. The second sequence may be identified as recognized (as a modifier-absent word) when not associated with additional information. When the second sequence is associated with additional information, a check is made on pixels in the image, based on a test specified in the additional information. When the test is satisfied, a copy of the second sequence in combination with the modifier is identified as recognized (as a modifier-present word). Storage and use of modifier information in addition to a set of sequences of characters enables recognition of words with or without modifiers.

Abstract: An image processing device for detecting a large number of missing dots. The image processing device comprises a print data image acquisition unit that acquires a print data image; an inkjet printer unit that prints on the back of a check; a back CIS unit that scans the back of the printed check; a print area extraction unit that extracts a print area R from the scanned image of the back of the check as an extracted image; and a missing dot detection unit determines if there are missing dots based on the print data image and the extracted image extracted by the print area extraction unit.

Abstract: An image processing apparatus includes a reading unit configured to read an image formed on a sheet, an erasing unit configured to erase the image formed on the sheet, and a controller configured to determine whether or not the image on the sheet as read by the reading unit is formed of an erasable material and prevent the sheet that is determined to have an image formed of the non-erasable material from being conveyed to the erasing unit.

Abstract: The present disclosure relates to a computer-implemented method, device, and computer-readable storage medium used for trapping an object against a gradient background comprising: obtaining a trapping parameter for the object in both a fast scan and slow scan direction; forming a first, a second, and a third color trap for the object; comparing the first color trap for the object with the second color trap for the object; comparing the first color trap for the object with the third color trap for the object; determining that a result of the comparing the first color trap for the object with the second color trap for the object yields a larger result than a result of the comparing the first color trap for the object with the third color trap for the object; and applying trapping to the inner side of the object.

Abstract: An image processing device determines whether or not a data size per page of a received print job is greater than a preset threshold. When it is determined that the data size is greater than the threshold, the image processing device estimates a first RIP time per page, which is the time required to RIP process when a resolution of an image of the print job is not optimized, an optimization time per page, which is the time required to optimize, and a second RIP time per page when the resolution of the image of the print job is optimized. Then, the image processing device optimizes the resolution of the image of the print job on the basis of the first RIP time, the optimization time, and the second RIP time so that the rates of decreasing the resolution in each image after conversion are substantially the same.

Abstract: Methods and systems render higher bit per pixel contone images to lower bit formats using multiple registers of a SIMD processor. The rendering process uses a first register to maintain contone image values of all the pixels being simultaneously processed. A second register maintains a threshold value used during the conversion process. A third register maintains one value for the print ready format pixels (e.g., those having less bits per pixel), and a fourth register maintains the other value (e.g., 0) for the print ready format pixels. Also, a fifth register maintains the conversion error amount for all the pixels being simultaneously processed. Sixth through ninth registers maintain distributed conversion error amounts produced by the diffusing process (for different pixels being simultaneously processed); and a tenth register maintains the pixels in the print-ready format produced by the conversion for all the pixels being simultaneously processed.

Abstract: Differences in color change due to bronze colors and the optical interference state related to bronzing are suppressed among multiple print modes. The blue primary color “Blue” in the standard RGB gamut is mapped to a point (color) that has moved in the clockwise direction, and that color is taken to be the primary color “Blue-s” in the Standard mode gamut. As a result, when an observer observes this color, the color shifted in the counter-clockwise direction is perceived as a color of the same hue as the primary color “Blue-f” in the Fine mode gamut, suppressing the difference in perceived color between the Fine mode and the Standard mode.

Abstract: An image forming apparatus which is capable of obtaining stable and satisfactory cleaning performance and fixing performance without holding, in an image forming unit which forms an image on a recording material based on a video signal, data for performing maintenance of the image forming unit. A synchronization signal output from the image forming unit and indicative of timing with which the video signal is output is detected. It is determined whether the synchronization signal is a normal synchronization signal for outputting a video signal for use in forming an image on the recording material or a pattern synchronization signal for outputting a pattern signal that is a video signal for use in performing maintenance of the image forming unit. When the synchronization signal is the normal synchronization signal, the video signal is output. When the synchronization signal is the pattern synchronization signal, the pattern signal is output.

Abstract: An image forming apparatus has a display device and a mechanically-configured operating unit, and enables use of a function implemented in an information processing apparatus via a network. The image forming apparatus includes: a remote function-displaying unit that obtains display information to display a visual interface of the function implemented in the information processing apparatus to display the visual interface on the display device; a remote operating unit that sends operation information indicating contents of an operation on the display screen to the information processing apparatus; and a mechanical operation detecting unit that obtains contents of an operation on the mechanically-configured operating unit.

Abstract: A system for minimizing damage based on excess current or voltage is described in which a connection between an AC power supply and a smoothing circuit is interrupted. The system may include capacitors and relays located between the AC power supply and a rectifier. By determining that a voltage or current is greater than a threshold level, the relay or relays may be opened. For instance, the increased voltage or current may be due to a failure of one or the capacitors, resulting in a short circuit across the capacitor. By opening the relay or relays, damage due to the excess current or voltage may be prevented from damaging downstream components.

Abstract: An electronic card uses a magnetic stripe communication device in which either a horizontal magnetic field generator or a vertical magnetic field generator is selectively activated on a transaction specific basis as determined by the electronic card to transmit data to a magnetic reader to emulate a magnetic stripe.

Abstract: Exemplary embodiments are directed to a product identification tag, generally including a durable material that includes indicia thereon corresponding to useful information. The durable material is generally configured to be at least one of pierced and/or punched to capture distinctive identification information for a specific product. The distinctive identification information can be at least one of a serial number, an in-service date, and an inspection date. Exemplary embodiments are also directed to a method of product identification, comprising providing a durable material that includes indicia thereon corresponding to useful information. The exemplary method further includes at least one of piercing and/or punching the durable material to capture distinctive identification information for a specific product and detachably securing the durable material to the specific product.

Abstract: A near field communication tag (101), comprises a first tag interface (107) for wireless near field communication with a first device (105), a second tag interface (113) for wired communication with a second device (103), a field detection section (119) for detecting a near field (109) for the wireless near field communication, a pin (121) connectable to the second device (103), wherein an output signal (127) is determined based on a result of the detecting of a near field (109) and the output signal (127) is provided to the pin (121), and an electronic storage (125) storing pin configuration information specifying the output signal.

Abstract: Embodiments of the invention provide a method comprising creating a structural description for at least one neurosynaptic core circuit. Each core circuit comprises an interconnect network including plural electronic synapses for interconnecting one or more electronic neurons with one or more electronic axons. The structural description defines a desired neuronal activity for the core circuits. The desired neuronal activity is simulated by programming the core circuits with the structural description. The structural description controls routing of neuronal firing events for the core circuits.