Abstract: An optical fingerprint imaging system and an optical assembly are provided. The optical fingerprint imaging system includes: a sensor including a substrate and a photosensitive layer, wherein the substrate has a first surface and a second surface which is opposite to and lower than the first surface, and the photosensitive layer is in contact with the first surface of the substrate; a light source disposed at a position lower than the first surface and higher than the second surface, and light emitted from the light source is adapted to be guided by the substrate of the sensor to the first surface of the substrate; and a mounting element adapted to mount the light source at a fixed position. Accordingly, the optical fingerprint imaging system has high light use efficiency and stable light source.

Abstract: The present invention is to incorporate a novel two-step image registration algorithm that can achieve sub-pixel accuracy in order to provide a method and system that can significantly improve the remote monitoring performance of coral reefs and volcanoes using a future NASA remote imager known as HyspIRI, by increasing the spatial and temporal resolution of remote sensing data from multiple satellites. Our invention focuses on change detection, multiple images registration, target detection, coral reef and volcano monitoring. The objectives are achieved by accurate and early change detection in coral health, and volcanic activities, such as, by detecting color changes in crater lakes; accurate bottom-type classification in coral reefs; accurate concentration estimation of SO2, volcanic ashes, etc.; high temporal resolution of monitoring so that early mitigation steps can be activated; and high spatial resolution in multispectral and hyperspectral images.

Abstract: A sensing module substrate and a sensing module including the same are provided. The sensing module substrate includes a film substrate having a first surface and a second surface; sensing vias which penetrate the film substrate from the first surface to the second surface, each of the sensing vias being configured to be coupled to pixels of a semiconductor chip; and an interconnection pattern provided on at least one of the first surface and the second surface of the film substrate.

Abstract: According to various embodiments, an electronic device includes: a housing; a display exposed through a part of the housing and located within the housing; a fingerprint sensor located at a portion of the housing and coupled with the display; a processor electrically coupled with the display and the fingerprint sensor; and at least one memory electrically coupled with the processor, wherein the memory stores fingerprint data for confirmation and stores instructions to be executed by the processor and the instructions that, when executed, cause the processor to receive the fingerprint data of a user using the fingerprint sensor, to analyze the received fingerprint data to determine whether at least a part of the fingerprint data is a result of at least a part of the finger at least partially covered with an external material, and to at least partially compare a part of the stored fingerprint data for confirmation with the analyzed fingerprint data.

Abstract: The disclosure discloses a method and apparatus for protecting an image based on face recognition, the method including: recognizing, by a smart terminal, at least one face image in an image; setting, by the smart terminal, a protection flag for the image, and storing the image, upon determining that one of the at least one face image in the image matches successfully with one of face images in a protection list stored in the smart terminal, wherein the protection flag is configured to protect the image from accidental deletion.

Abstract: A method of converting a vector corresponding to an input image includes receiving input vector data associated with an input image including an object; and converting the received input vector data into feature data based on a projection matrix having a fixed rank, wherein a first dimension of the input vector data is higher than a second dimension of the feature data.

Abstract: A set of recognizable custom emoticons representing a subject's face are created and can be used in electronic communications as conventional emoticons are used. A set of unique emoticons are derived from a single digital true image of a subject's face such that others familiar with the subject are likely to recognize each emoticon in the set as representing the subject. The subject's true facial image is modified to reflect the cartoonish style of emoticons. Optionally some facial features are replaced to create a set of emoticons each having distinct facial expressions, for example, sad, happy, surprised, frightened. Optionally other features, for example, glasses, hats, facial hair, can be added to enhance the emoticons. The resultant set of emoticons is then made available to be sent and received on all communication mediums where emoticons are currently used.

Abstract: A face recognition method of the present disclosure includes configuring aggregations of feature data that include a plurality of feature data of faces and match to a plurality of personnel data; extracting from an input image a plurality of input feature data that correspond to the feature data and that is equal to or more than a critical value; comparing an aggregation of input feature data that includes the input feature data with each of the pre-stored aggregations of feature data, and selecting from the aggregations of feature data an aggregation of feature data having the greatest similarity with the aggregation of the input feature data; and identifying a person on the image based on personnel data that matches the aggregation of feature data having the greatest similarity.

Abstract: There provides an apparatus for recognizing a head region in a CT lateral image of a subject, comprising: a deriving unit for deriving a first image representing a bone of the subject from the CT lateral image; an extracting unit for extracting a boundary curve indicating an outer contour of a region comprising at least part of the occipital bone and at least part of the cervical vertebra of the subject in the first image; and a determining unit for determining a first pixel position indicating a bottommost point of the head region of the subject, based on a shape feature parameter of the boundary curve.

Abstract: According to one embodiment, an electronic apparatus performs a character recognition process, uses, if a stroke in a first area of the first handwritten document and a stroke in a second area are the same, a character recognition result of the first handwritten document, and performs, if a stroke in the first area and a stroke in the second area are different, the character recognition process for the second area including the different stroke.

Abstract: A method for determining an apparent colour value of pixels corresponding to a subpart of an object in the acquired image, including: estimating a geometric distortion model of the object in the acquired image compared with a reference model of the object; determining a position in the acquired image of the subpart and determining a zone of the acquired image, referred to as the reference zone, situated in a predetermined vicinity of the subpart, each pixel of the reference zone resulting from a projection in the acquired image of a zone of the reference model, referred to as a blank zone, the blank zone being associated with a predetermined colour value in the reference model, the projection using the geometric distortion model; and determining an apparent colour value of the pixels of the subpart, from a colour value of at least one pixel of the reference zone.

Abstract: Arrangements involving portable devices (e.g., smartphones and tablet computers) are disclosed. One arrangement enables a content creator to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another utilizes a device camera to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some technologies concern improvements to the user interfaces associated with such devices. For example, some arrangements enable discovery of both audio and visual content, without any user requirement to switch modes. Other technologies involve use of these devices in connection with shopping, text entry, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern computational photography.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a selection of an image. An object included in the image can be detected. An image portion that includes the object can be extracted from the image. The image portion can be provided for image analysis based on one or more object recognition processes. An identifier for the object can be received. The identifier can be determined based on the one or more object recognition processes being applied to the image portion.

Abstract: There is provided a system and method for grouping a plurality of individuals, each individual of the plurality of individuals having a corresponding transactional segment, the system comprising a memory storing a group identification application, a processor for executing the group identification application to identify an o-space center of a first group, wherein the o-space center is an intersection of a plurality of transactional segments, obtain a non-parametric lower-body orientation probability distribution for each of the plurality of individuals, based on the o-space center, and determine that a first plurality of individuals from the plurality of individuals belong to the first group based on the non-parametric lower-body orientation probability distribution of each individual of the plurality of individuals, wherein each of the first plurality of individuals has a corresponding one of the plurality of transactional segments that intersect with one another.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include detecting, via a first camera at a premises, an object, identifying a first set of images of the object among multiple images captured by the first camera, identifying a second set of images of the object among multiple images captured by a second camera, and generating at least one of a single image file and a single video file from a sequence of images comprising one or more of the first set of images and one or more of the second set of images.

Abstract: An information processing apparatus comprises: an object detection unit to detect an object included in a frame image based on a feature amount of the frame image, and generate and output object information concerning the detected object; an event detection unit to detect an event of the object based on the object information output by the object detection unit, and generate and output event concern information concerning the detected event of the object; and a transmission unit to transmit the frame image, the event concern information, concerning the frame image, output by the event detection unit, and time information concerning the frame image, as associating them with others. Thus, even in a case where event detection timing and event occurrence timing are different from each other, it is possible to perform a display by which a user can easily confirm the event.

Abstract: The disclosure relates to a method and an arrangement for assessing the roadway surface being driven on by a vehicle. In a method according to the disclosure, on the basis of at least one image recorded with a camera that is present on the vehicle, the roadway surface being driven on by the vehicle is classified using a classifier. The classifier is trained on the basis of image features that are extracted from the at least one image, wherein a plurality of image details are defined in the at least one image. The extraction of image features is performed independently for each of these image details.

Abstract: Methods, systems, and apparatus including computer program products for using extracted image text are provided. In one implementation, a computer-implemented method is provided. The method includes receiving an input of one or more image search terms and identifying keywords from the received one or more image search terms. The method also includes searching a collection of keywords including keywords extracted from image text, retrieving an image associated with extracted image text corresponding to one or more of the image search terms, and presenting the image.

Abstract: A system and method for procedurally synthesizing a training dataset for training a machine-learning model. In one embodiment, the system includes: (1) a training designer configured to describe variations in content of training images to be included in the training dataset and (2) an image definer coupled to the training designer, configured to generate training image definitions in accordance with the variations and transmit the training image definitions: to a 3D graphics engine for rendering into corresponding training images, and further to a ground truth generator for generating associated ground truth corresponding to the training images, the training images and the associated ground truth comprising the training dataset.

Abstract: Systems and methods are provided for imaging a region of interest. A structured light source is configured to provide a substantially two-dimensional light curtain within a field of view of the camera formed by at least one projected laser beam at a wavelength detectable by the camera. An image analysis component is configured to detect objects within the region of interest from at least a position of the at least one projected laser beam within the image.

Abstract: An image processing device includes a contrasting correction unit, a color analysis unit, an object detection unit, and an object relation analysis unit. The contrasting correction unit creates a contrasting corrected image by correcting contrasting of an input image captured by a vehicle camera. The color analysis unit creates a color corrected image by correcting colors of the input image. The object detection unit detects a main sign included in the input image based on the contrasting corrected image and detects an auxiliary sign included in the input image based on the color corrected image. The object relation analysis unit recognizes a traffic sign as a combination of a main sign and auxiliary sign by associating the main sign and the auxiliary sign with each other based on a positional relationship between the main and auxiliary signs, which are detected by the object detection unit, in the input image.

Abstract: An object of the present invention is to provide an eye opening degree detection system that can accurately and stably calculate an eye opening degree. The eye opening degree detection system includes imaging devices that generate images including regions of both eyes, a one eye opening degree calculation unit that calculates each one eye opening degree of the left and right eyes of a first image, an eye opening degree selection unit that selects a correctly-calculated one eye opening degree, an eye opening degree calculation unit that calculates an eye opening degree on the basis of the one eye opening degree and an eye opening degree determination unit that compares the eye opening degree calculated on the basis of the first image with an eye opening degree calculated on the basis of a second image prior to the first image to determine the propriety of the eye opening degree.

Abstract: The present disclosure describes systems and methods for assessing biometric data and determining the type of additional processing required to conclude analysis. In one example, the disclosure describes a computer-implemented method comprising providing biometric data, defining one or more performance parameters, assessing the biometric data for quality of one or more features, wherein the quality includes at least a quantity and correlation between the one or more features, assessing the rarity of the one or more features, and processing the performance parameter, quality, and rarity to guide a determination of a type of additional processing.

Abstract: A biometric imaging device is provided with: placement unit that supports a biological object, imaging unit that takes images of the biological object, and determining unit that determines whether or not the biological object is placed on the placement unit, based on whether or not a feature of the biological object has changed at a place where the placement unit and the biological object are in contact, in the image(s).

Abstract: The inventors of the present application developed novel optically active materials, methods, and systems for reading identifying information on an optically active article. Specifically, the present application relates to substantially simultaneously capturing and/or processing a first optically active image and a second optically active image. In some embodiments, the first optically active image is taken at a first wavelength and the second optically active image is taken at a second wavelength, wherein the first wavelength is different from the second wavelength. In one aspect, the present applications relates to reading information on a license plate for purposes of vehicle identification.

Abstract: A computer-implemented method is provided to selectively output two types of vector data representative of user-input strokes. Type one stroke objects are generated in a device including a position input sensor, on which a user operates a pointer to generate a type one stroke object representative of a stroke. A stroke starts at a pen-down time at which the pointer is placed on the position input sensor and ends at a pen-up time at which the pointer is removed from the position input sensor. Real-time rendering of a type one stroke object is started after the pen-down time of a stroke without waiting for the pen-up time. After completion of a type one stroke object through its pen-up time, the type one stroke object is converted to a type two stroke object, which is a set of curves defining a boundary of the stroke, and can be rendered.

Abstract: A computer-implemented method selectively outputs two types of vector data representative of user-input strokes. Type one stroke objects are generated in a device including a position input sensor, on which a user operates a pointer to generate a type one stroke object representative of a stroke. A stroke starts at a pen-down time at which the pointer is placed on the position input sensor and ends at a pen-up time at which the pointer is removed therefrom. Real-time rendering of a type one stroke object is started after the pen-down time of a stroke without waiting for the pen-up time. After completion of a type one stroke object through its pen-up time, the type one stroke object is converted to a type two stroke object, which is a set of curves defining a boundary of the stroke, and can be exported as a file or rendered on a display.

Abstract: Devices and methods for visibly highlighting areas of a region including an imager configured to image the region with a sensitivity to at least one of wavelength, light level, or contrast greater than the human eye, an overlay element configured to visibly highlight areas of the region and registered to the imager to produce alignment of imaged features with highlighted features at the same location on the region, and at least one of a controller executing a program or logic configured to process acquired images from the imager to identify areas of the region determined not visible to the human eye, and control the overlay element to visibly highlight those areas on the region.

Abstract: Systems and methods are disclosed for parsing logs from arbitrary or unknown systems or applications by capturing heterogeneous logs from the arbitrary or unknown systems or applications; generating one pattern for every unique log message; building a pattern hierarchy tree by grouping patterns based on similarity metrics, and for every group it generates one pattern by combing all constituting patterns of that group; and selecting a set of patterns from the pattern hierarchy tree.

Abstract: An automated method performed by at least one processor running computer executable instructions stored on at least one non-transitory computer readable medium, comprising: classifying first data points identifying at least one man-made roof structure within a point cloud and classifying second data points associated with at least one of natural structures and ground surface to form a modified point cloud; identifying at least one feature of the man-made roof structure in the modified point cloud; and generating a roof report including the at least one feature.

Abstract: Embodiments of the present invention provide automated systems and methods for visualizing a product using standard and personal objects. An image can be retrieved from the shopping history or shopping cart of a user, and the dimensions of the image can be automatically adjusted to make an accurate relative size comparison to a product for purchase.

Abstract: Embodiments of the present invention provide automated systems and methods for visualizing a product using standard and personal objects. An image can be retrieved from the shopping history or shopping cart of a user, and the dimensions of the image can be automatically adjusted to make an accurate relative size comparison to a product for purchase.

Abstract: Embodiments of the present invention provide a hierarchical arrangement of one or more artificial neural networks for recognizing visual feature pattern extraction and output labeling. The system comprises a first spiking neural network and a second spiking neural network. The first spiking neural network is configured to autonomously learn complex, temporally overlapping visual features arising in an input pattern stream. Competitive learning is implemented as spike time dependent plasticity with lateral inhibition in the first spiking neural network. The second spiking neural network is connected by means of dynamic synapses with the first spiking neural network, and is trained for interpreting and labeling output data of the first spiking neural network. Additionally, the output of the second spiking neural network is transmitted to a computing device, such as a CPU for post processing.

Abstract: A computer implemented method to present digital images may include storing a digital image in a database and applying a digital image processing technique to the digital image to identify a region of interest of the digital image. The method may also include storing region data that identifies the region of interest of the digital image in the database and receiving a request for information associated with the digital image from a digital device. In response to the request, the method may include providing the digital image and the region data for transmission to the digital device, the digital device configured to adjust a cropping view of the digital image based on the region data to display the region of interest of the digital image.

Abstract: The present disclosure provides a method for training a machine learning software component. In a computing system, a plurality of images and a plurality of location tuples are received. Each of the location tuples includes a subject identifier and a temporal identifier. For each of the location tuples, the subject identifier is associated with an image of the plurality of images using the temporal identifier to form a training data set. The machine learning software component is trained with the training data set.

Abstract: An object detection apparatus first sets a first partial region having a preset size and a second partial region in a given point (pixel) in an input image. In addition, the object detection apparatus calculates a first information amount in the second partial region, and sets a third partial region based on the size of the first information amount. Furthermore, the object detection apparatus calculates a score based on a salience degree that is based on a difference in statistical feature amount distribution between the first partial region and the second partial region, and based on an information amount of feature amount in the third partial region. Lastly, the object detection apparatus detects a main object by calculating scores on the respective points in the image and applying a predetermined statistical process to the scores.

Abstract: A method for registering existing vector data associated with a first image of a location to a second image of the location is provided. Typically the images are separated by an increment of time. The method is implemented by at least one computing device including at least one processor in communication with a memory. The method includes receiving, by the at least one computing device, the existing vector data associated with the first image of the location, receiving, by the at least one computing device, a plurality of controls for registering the first image to the second image, applying, by the at least one computing device, the plurality of controls to the existing vector data to generate updated vector data, and storing, in the memory, the updated vector data associated with the second image.

Abstract: Embodiments of the present invention provide an automated image tagging system that can predict a set of tags, along with relevance scores, that can be used for keyword-based image retrieval, image tag proposal, and image tag auto-completion based on user input. Initially, during training, a clustering technique is utilized to reduce cluster imbalance in the data that is input into a convolutional neural network (CNN) for training feature data. In embodiments, the clustering technique can also be utilized to compute data point similarity that can be utilized for tag propagation (to tag untagged images). During testing, a diversity based voting framework is utilized to overcome user tagging biases. In some embodiments, bigram re-weighting can down-weight a keyword that is likely to be part of a bigram based on a predicted tag set.

Abstract: A method of providing a set of feature descriptors configured to be used in matching an object in an image of a camera is provided. The method includes: a) providing at least two images of a first object; b) extracting in at least two of the images at least one feature from the respective image, c) providing at least one descriptor for an extracted feature, and storing the descriptors; d) matching descriptors in the first set of descriptors; e) computing a score parameter based on the result of the matching process; f) selecting at least one descriptor based on its score parameter; g) adding the selected descriptor(s) to a second set of descriptors; and h) updating the score parameter of descriptors in the first set based on a selection process and to the result of the matching process.

Abstract: A computerized document bearer authentication system operative in conjunction with a document bearer verifying functionality operative to check at least one aspect of a document bearing individual, the system comprising a computerized document authenticator operative to ascertain that a presented computerized document is valid including reading data from the computerized document and using a processor to find, within the data, validation information useful in ascertaining that the presented computerized document is valid; and a document bearer verifying functionality initiator operative to initiate operation of the document bearer verifying functionality including finding, within the data, bearer verification information useful in checking the at least one aspect and providing the verification information to the document bearer verifying functionality.

Abstract: A server for configuring an industrial vision control module includes: a memory; a network interface; and a processor interconnected with the memory and the network interface, the processor configured to: receive, via the network interface, image data from a vision system; determine at least one attribute of the image data; store at least one label in association with the at least one attribute; and transmit the at least one attribute and the at least one label to the vision system.

Abstract: A system for predicting occurrence of a defective image includes: an input device configured to input image data into an image forming apparatus; and a hardware processor configured to analyze a spatial frequency of gradient distribution of an image in accordance with a size of a density irregularity specific to the image forming apparatus with respect to the input image data and to calculate a probability of a conspicuous density irregularity of the size in regard to the image formed by the image forming apparatus based on the image data with reference to an index of correlation between an analysis result and an evaluation value of the density irregularity.

Abstract: Methods and arrangements involving portable user devices such smartphones and wearable electronic devices are disclosed, as well as other devices and sensors distributed within an ambient environment. Some arrangements enable a user to perform an object recognition process in a computationally- and time-efficient manner. Other arrangements enable users and other entities to, either individually or cooperatively, register or enroll physical objects into one or more object registries on which an object recognition process can be performed. Still other arrangements enable users and other entities to, either individually or cooperatively, associate registered or enrolled objects with one or more items of metadata. A great variety of other features and arrangements are also detailed.

Abstract: A card reader may include a fixed body having a card moving passage, a pulling-out prevention member supported by the fixed body and structured to turn between a closing position and an open position, and structured to prevent pulling-out of the card at the closing position, a first urging member which urges the pulling-out prevention member toward the closing position, a lock member to prevent turning of the pulling-out prevention member toward the open position, and a lock member drive mechanism. The lock member may be driven by the lock member drive mechanism and swung so as to be switched from one of an unlocking attitude permitting turning of the pulling-out prevention member toward the open position and a locking attitude interfering with the pulling-out prevention member and preventing turning of the pulling-out prevention member toward the open position to the other of the unlocking attitude and the locking attitude.

Abstract: Embodiments of the invention assist a human pre-press operator or designer to produce layouts of photos in a multi-page book. Some embodiments operate autonomously, given only high-level configuration parameters such as number of pages and number of images. Other embodiments operate interactively, preparing an automatic layout and then accepting manual adjustments to the selection of images and their arrangement on the pages. An embodiment may produce a computer-readable medium for use in a subsequent printing process, or may produce the finished printed book itself.

Abstract: An image quality adjustment apparatus includes an adjustment unit and an order controller. The adjustment unit sequentially receives instructions of adjustment details for adjustment processes of multiple of types for adjusting image quality, and sequentially performs the adjustment processes on an image. The order controller presents, in accordance with priority ranks that have been associated in advance with characteristics of an image to be processed, operation screens for receiving instruction operations for the adjustment details.

Abstract: A printing system is disclosed. The printing system includes a halftone calibration module to receive one or more un-calibrated halftones, transform un-calibrated threshold values in the one or more un-calibrated halftones via an inverse transfer function to generate calibrated halftone threshold values and generate one or more calibrated halftones based on the calibrated halftone threshold values.

Abstract: A media processing system is arranged to process image receiving media under predetermined physical conditions. The system includes a scheduler arranged to schedule jobs to be processed in the system and to calculate predicted timings (T0) at which media will have to be ready for processing and to indicate the predicted timings on a user interface. The system further includes a buffer in which a supply of media that has been received from a first environment is kept in a specified second environment before being processed. The scheduler is configured to calculate an acclimatization time required for the media to acquire the predetermined physical conditions by being kept in the second environment in the buffer, and to calculate and indicate a predicted timing (T1) at which the media should be present in the sheet buffer at the latest in view of the calculated acclimatization time.

Abstract: Systems and methods for predicting, identifying, and/or confirming the presence of an object in a predefined space include communication between the object and a sensor having a detection range. The detection range of the sensor is limited to a predefined space or direction that may be less than its maximum detection range.

Abstract: There are provided systems and methods for suspending and resuming transactions through wireless beacon communications. A merchant may set up a wireless beacon with employee devices. The beacons may connect to a user's device and assist the employee with determining and suspending a transaction for the user. Based on the connections between the user's device and a wireless beacon attached to an employee device, the employee device may receive an identifier for the user. The identifier may also be received from a previous check-in by the user. The employee or a user may scan one or more items that the user may wish to purchase. A transaction may be generated using the scan and may be associated with the user's identifier. Later the transaction may be recalled using the user's identifier or a transaction code identifying the transaction. Payment information for the user may also be associated with the transaction.