Abstract: A sensor screen and a display device including the same are described. The sensor screen can include a first base member including a first active area and a first bezel area and having a first thickness, a second base member which is positioned opposite the first base member and has a second thickness less than the first thickness, and at least one fingerprint sensor disposed in a portion of the first bezel area of one of the first and second base members. The fingerprint sensor can include a plurality of first fingerprint electrodes arranged in a first direction and a plurality of second fingerprint electrodes, which are insulated from the first fingerprint electrodes and are arranged in a second direction crossing the first direction.

Abstract: Aspects are disclosed for enhancing digital media. In an aspect, a target object in a primary image is identified, and reference images that include the target object are located. The target object is then modified within the primary image according to data derived from analyzing the reference image. In another aspect, a primary file is received, and at least one reference file is referenced to generate enhancement data that facilitates enhancing the primary file from an extrapolation of the reference file. In yet another aspect, media files corresponding to a common event are aggregated, and a desired enhancement of a primary file is identified. Here, the desired enhancement corresponds to a modification of an obstruction included in the primary file. A reference file which includes data associated with the desired enhancement is then referenced, and the obstructed data is modified based on replacement data extrapolated from the reference file.

Abstract: Methods, apparatuses and systems may provide for a neural network that analyzes and classifies agricultural conditions based on depth data and color data recorded by one or more drones, and generates an annotated three dimensional (3D) map with the agricultural conditions. Additionally, an object recognition model may be trained for use by a drone controller to trigger drones to conduct a collection of depth data at an increased proximity to crop-related objects based on agricultural conditions.

Abstract: A method and apparatus for eye tracking are disclosed. The method may include obtaining feature points corresponding to at least one portion of a face area of the user in an image, determining an inner area of an eye area of a first eye of the user based on the feature points, determining a pupil area of the user based on a pixel value of at least one pixel of the inner area, and determining an eye position of the user based on a position value of each pixel of the pupil area.

Abstract: A method reconstructs a scene as a three-dimensional (3D) model by first acquiring a sequence of images of the scene with a camera. Then, feature point matches or line matches are extracted from the sequence of images, variables for camera optical centers and 3D points are initialized using random values, and n copies of the variables are made depending on an availability of n constraints. The n copies are projected to satisfy each of the n constraints. Then, the n copies are replaced with averages of the copies and the projecting and the replacing are repeated until convergence to provide the 3D model.

Abstract: An exemplary apparatus determines the dimensions of a package while being moved by a transport through a scanning zone. Sensors with different respective fields of view are disposed about a scanning zone and generate corresponding frames of 3-D images where some of the points represent the transport and package. A computing apparatus translates the points in the images into a transport coordinate system with a common point of origin on the transport so that the package does not appear to be in motion from frame to frame. The computing apparatus merges the translated points in different frames into a combined point cloud image and deletes points representing the transport resulting in a final point cloud image of the package. The computing apparatus determines the dimensions of the package based on the location of points representing the package in the final point cloud image.

Abstract: An image processing method and an electronic device supporting the method are provided. The electronic device includes a processor having an image processing module processing an input image, and a memory, wherein the processor obtains image data that is processed for the input image, wherein the memory stores volatile information which is temporarily obtained from the image during an image processing process of the image processing module.

Abstract: A fingerprint detection apparatus and a fingerprint detection method employ a collection module and a processing module. The collection module is configured to collect fingerprint information and generate a fingerprint detection signal. The processing module is configured to process the fingerprint detection signal and generate fingerprint image data, and includes a frequency mixer. The frequency mixer is configured to perform quadrature mixing and low pass filtering on the fingerprint detection signal, and to convert an alternating current signal of the fingerprint detection signal into a direct current signal. Therefore, the bandwidth of the fingerprint detection signal can be decreased, noises in the fingerprint detection signal can be filtered out, the signal to noise ratio can be improved, the fingerprint detection sensitivity can be enhanced, and the anti-interference capacity can be increased, so that the adaptability of the fingerprint detecting apparatus to an application environment can be improved.

Abstract: An image processing apparatus includes a determiner that determines an array state of plural pixels to be collectively processed with a processing frame being a processing unit of image processing; and a matching unit that causes the plural pixels of image data to be in a data format matching with the processing frame by correction in accordance with the array state.

Abstract: An electronic device includes: a fingerprint input unit located in one area of the electronic device to receive a fingerprint of a user; and a controller configured to control a display unit to display information on a fingerprint registration progress situation in correspondence to a plurality of fingerprints that are sequentially input to the fingerprint input unit, determine whether a fingerprint of the user is to be registered according to the fingerprint registration progress situation information, and register a fingerprint of the user by using at least some of the plurality of fingerprints. A fingerprint registration progress situation can be identified when a fingerprint is registered.

Abstract: A self-localization device including a storage unit that associates and stores a plurality of reference images and imaging positions of the plurality of respective reference images and an operation unit that periodically estimates a self-location of a movable body based on information obtained from a sensor included in the movable body, wherein the operation unit determines, when estimation of the self-location fails, a moving distance from a latest self-location obtained from successful estimation of the self-location before the estimation fails using the information from the sensor and extracts a plurality of the reference images belonging to a range of the moving distance from the latest self-location and searches the plurality of extracted reference images for images similar to a current image captured by an imaging device included in the movable body to estimate the self-location of the movable body.

Abstract: Techniques for assigning context to a digitally captured image, and for manipulating recognized data fields within such image. In an exemplary embodiment, a context of an image may be assigned based on, e.g., user input or pattern recognition. Based on the assigned context, recognized data fields within the image may be manipulated according to context-specific processing. In an aspect, processing specific to a sales receipt context may automatically manipulate certain data, e.g., calculate updated sales tax and subtotals based on user-designated fields, and display the automatically calculated data in an output receipt. Fields not designated by the user may be selectively concealed in the output receipt for privacy. Further aspects disclose processing techniques specific to other contexts such as restaurant menu, store shelf, and fillable form contexts.

Abstract: Methods and systems for recovering corrupted/degraded images using approximations obtained from an ensemble of multiple sparse models are disclosed. Sparse models may represent images parsimoniously using elementary patterns from a “dictionary” matrix. Various embodiments of the present disclosure involve simple and computationally efficient dictionary design approach along with low-complexity reconstruction procedure that may use a parallel-friendly table-lookup process. Multiple dictionaries in an ensemble model may be inferred sequentially using greedy forward-selection approach and can incorporate bagging/boosting strategies, taking into account application-specific degradation. Recovery performance obtained using the proposed approaches with image super resolution and compressive recovery can be comparable to or better than existing sparse modeling based approaches, at reduced computational complexity.

Abstract: A method for assessing the acceptability of product filter rods, filters or filter elements which include a longitudinally extending core of filtering material including a longitudinal channel extending from an end of the core.

Abstract: A method for determining a region of an image is described. The method includes presenting an image of a scene including one or more objects. The method also includes receiving an input selecting a single point on the image corresponding to a target object. The method further includes obtaining a motion mask based on the image. The motion mask indicates a local motion section and a global motion section of the image. The method further includes determining a region in the image based on the selected point and the motion mask.

Abstract: An electronic device may include finger biometric sensing pixels and a processor capable of cooperating with the finger biometric sensing pixels to generate a series of finger images at a progressively slower capture rate as a finger settling increases over time from initial placement of a user's finger adjacent the finger biometric sensing pixels. The processor may also be capable of cooperating with the finger biometric sensing pixels to determine a quality factor for each image in the series thereof, and select at least one image from the series thereof for matching and based upon the quality factor.

Abstract: A mechanism is provided in a data processing system for image anonymization. The mechanism identifies a plurality of items in an image and extracts properties of the plurality of items into one or more data structures. The mechanism queries an analytics tool about whether a combination of properties of the plurality of items identifies a person in the image. Responsive to determining a given combination of properties of the plurality of items identifies a person in the image, the mechanism modifies the plurality of items in the image to form an anonymized image and outputs the anonymized image.

Abstract: A mechanism is provided in a data processing system for image anonymization. The mechanism identifies a plurality of items in an image and extracts properties of the plurality of items into one or more data structures. The mechanism queries an analytics tool about whether a combination of properties of the plurality of items identifies a person in the image. Responsive to determining a given combination of properties of the plurality of items identifies a person in the image, the mechanism modifies the plurality of items in the image to form an anonymized image and outputs the anonymized image.

Abstract: A processor estimates a shape of a subject on the basis of an image of the subject, and a memory stores the shape of the subject. The processor generates a quadratic surface connecting a plurality of points on the subject on the basis of the shape of the subject, and develops each of the plurality of points to a planar surface contacting the quadratic surface. Thereafter the processor corrects the image of the subject on the basis of a position of each of the plurality of points developed to the planar surface.

Abstract: The current document is directed to methods and systems that convert document images containing mathematical expression into corresponding electronic documents. In one implementation, an image or sub-image containing a mathematical expression is recursively partitioned into blocks separated by white-space stripes. Horizontal and vertical partitioning are alternately and recursively applied to the image or sub-image containing a mathematical expression until the lowest-level blocks obtained by partitioning correspond to symbols recognizable by character-recognition methods. Graph-based analysis of the recognized symbols provides a basis for encoding an equivalent representation of the mathematical expression contained in the image or sub-image.