Abstract: A method for facilitating automated vehicle charging, which can include one or more of: detecting a charge port cover, determining a cover actuation point, opening the cover, locating a charging connector of the vehicle, locating electrical pins of the charging connector, connecting to the vehicle, and/or disconnecting from the vehicle. A system for facilitating automated vehicle charging, which can include one or more connectors, sensors, and/or actuators. The system is preferably configured to perform the method (e.g., in the presence of an electric vehicle).

Abstract: A method for processing angiography image data by using an imaging catheter path that is directly detected from the angiography data as a co-registration path or using detected marker locations from the angiography data to generate a co-registration path. If the acquired angiography data includes synchronized cardiac phase signals and a predetermined quantity of angiography image frames not including contrast media, then a directly detected imaging catheter path is used as the co-registration path. Otherwise the co-registration path is determined based upon detected marker locations from the angiography image data.

Abstract: Methods and systems for generating and storing a vehicle based notification record including evidentiary License Plate Recognition (LPR) information are presented herein. A vehicle based notification record includes evidentiary images generated by an LPR imaging system, a portable imaging system, or a combination thereof. The vehicle based notification record includes the collected evidentiary images in their native format including metadata. The collected images and metadata are preserved in their original format during communication, storage, and retrieval operations. In some embodiments, the geographic location of image capture is appended to the image metadata. In some embodiments, the images are digitally signed after capture and the digital signature is appended to the metadata of each respective image. In some embodiments, a clock of the LPR imaging system and a clock of the portable imaging system are synchronized with a network time server and time of image capture is appended to image metadata.

Abstract: An image processing method includes: performing coordinate conversion to determine that a final image is to be obtained by processing target rows of data of a source image, wherein the target rows of data of the source image are stored in an external storage device; reading, from the external storage device, the data of the target rows of the source image to an internal storage device; and processing the data of the target rows of the source image in the internal storage device to obtain the final image. The invention performs coordinate conversion to determine data to be cached, such that a data caching operation is independent from a size of a region to be padded, and resources of the internal storage device required are reduced.

Abstract: Embodiments can provide a strategy for controlling information flow both from known opacity regions to unknown regions, as well as within the unknown region itself. This strategy is formulated through the use and refinement of various affinity definitions. As a result of this strategy, a final linear system can be obtained, which can be solved in closed form. One embodiment pertains to identifying opacity information flows. The opacity information flow may include one or more of flows from pixels in the image that have similar colors to a target pixel, flows from pixels in the foreground and background to the target pixel, flows from pixels in the unknown opacity region in the image to the target pixel, flows from pixels immediately surrounding the target pixels in the image to the target pixel, and any other flow.

Abstract: A lane detection method and apparatus is disclosed. The lane detection apparatus may set a regions of interest (ROIs) in a forward-view image of a vehicle obtained by a camera, estimate lane pixels corresponding to a lane from each of the ROIs using a neural network-based detector, and determine a lane region in the forward-view image based on the lane pixels.

Abstract: A method for implementing a graphics pipeline. The method includes building a first shadow map of high resolution, and building a second shadow map based on the first shadow map of lower resolution. The method includes determining a light source affecting a virtual scene, and projecting geometries of objects of an image of the virtual scene onto a plurality of pixels of a display from a first point-of-view. The method includes determining a foveal region when rendering the image, wherein the foveal region corresponds to where an attention of a user is directed. The method includes determining a first set of geometries is drawn to a first pixel, determining the first set of geometries is in shadow based on the light source, and determining the first set of geometries is outside of the foveal region. The method includes rendering the first set of geometries using the second shadow map.

Abstract: This disclosure relates to processing a spectral dataset, such as a hyperspectral image or a large collection of individual spectra taken with the same spectrometer, to increase the signal-to-noise ratio. The methods can also be used to process a stack of images that differ by acquisition time rather than wavelength. The methods remove most of the sensor background noise with minimal corruption of image texture, anomalous or rare spectra or waveforms, and spectral or time resolution.

Abstract: Exemplary embodiments are directed to biometric analysis systems generally including one or more illumination sources, a camera, and an analysis module. The illumination sources are configured to illuminate at least a portion of a face of a subject. The camera is configured to capture one or more images of the subject during illumination of the face of the subject. The analysis module is configured to analyze the one or more images captured by the camera to determine an indication of liveliness of the subject and prevent spoofing.

Abstract: A fingerprint recognition device and an OLED display device, which relate to the technical field of display and can solve the problems of a low recognition accuracy due to a large distance from a finger to a fingerprint recognition device. The fingerprint recognition device comprises recognition units alternately defined by a plurality of scanning lines and signal reading lines which are crisscrossed with each other. Each recognition unit is provided with a switching transistor and a photosensitive element. The photosensitive element comprises a photoelectric conversion layer and a collimator filter layer which are stacked successively. The collimator filter layer is used for irradiating incident light onto the photoelectric conversion layer in parallel, and the photoelectric conversion layer is used for performing photoelectric conversion on the incident light.

Abstract: A method for enhancing lower-quality visual data using hierarchical algorithms, the method comprising the steps of: receiving one or more sections of lower-quality visual data; applying a hierarchical algorithm to the one or more sections of lower-quality visual data to enhance the one or more sections of lower-quality visual data to one or more sections of higher-quality visual data, wherein the hierarchical algorithm was developed using a learned approach; and outputting the one or more sections of higher-quality visual data.

Abstract: In an approach, hyperspectral and/or multispectral remote sensing images are automatically analyzed by a nitrogen analysis subsystem to estimate the value of nitrogen variables of crops or other plant life located within the images. For example, the nitrogen analysis subsystem may contain a data collector module, a function generator module, and a nitrogen estimator module. The data collector module prepares training data which is used by the function generator module to train a mapping function. The mapping function is then used by the nitrogen estimator module to estimate the values of nitrogen variables for a new remote sensing image that is not included in the training set. The values may then be reported and/or used to determine an optimal amount of fertilizer to add to a field of crops to promote plant growth.

Abstract: A robotic system includes a processor that is programmed to determine and cause work site measurements for user specified points in the work site to be graphically displayed in order to provide geometrically appropriate tool selection assistance to the user. The processor is also programmed to determine an optimal one of a plurality of tools of varying geometries for use at the work site and to cause graphical representations of at least the optimal tool to be displayed along with the work site measurements.

Abstract: A method and system for determining the location of objects using a plurality of full motion video cameras where the location is based on the intersecting portions of a plurality of three-dimensional shapes that are generated from the video data provided by the cameras. The three-dimensional shapes include two-dimensional shapes that contain predetermined traits in each of the frames of the video signals.

Abstract: An automated method for generation of training samples for classification of electronic images of commercial documents such as invoices, bills of lading, explanations of benefits, etc. is described. An image of a page of a document is generated as a representative of similar pages from the same origin regardless whether the page of the document contains permanent and variable information or just permanent information.

Abstract: Methods for enhancing image contrast applied to an image processing system are provided. The method includes the steps of: obtaining a first image; generating a first histogram information based on the first image; obtaining, a first parameter and a second parameter of the first image based on the first histogram information, wherein the first parameter is related to the number of homogeneous regions of the first image and the second parameter is related to an average luminance information of the first image; performing a weighted calculation based on the first parameter and the second parameter to determine a restriction parameter; performing a contrast limited histogram equalization processing on the first histogram information using the restriction parameter to generate a second histogram information; and adjusting the first image based on the second histogram information and a mapping curve to generate a second image with contrast enhancement effect.

Abstract: A method and an apparatus for fingerprint recognition are disclosed. The apparatus for the fingerprint recognition may extract a plurality of fingerprint feature points from a fingerprint image and may predetermine a group among the plurality of fingerprint feature points. The apparatus for the fingerprint recognition may also calculate a ridge number between the first fingerprint feature points included in the group and may use the ridge number to generate a ridge count sequence.

Abstract: An image processing method extracts consecutive input blurry frames from a video, and generates sharp frames corresponding to the input blurry frames. An optical flow is determined between the sharp frames, and the optical flow is used to compute a per-pixel blur kernel. The blur kernel is used to reblur each of the sharp frames into a corresponding re-blurred frame. The re-blurred frame is used to fine-tune the deblur network by minimizing the distance between the re-blurred frame and the input blurry frame.

Abstract: Automatic generation of user interfaces from annotation templates is provided. In various embodiments, a medical imaging study is retrieved from a data store. At least one characteristic of the medical imaging study is determined. Based on the at least one characteristic, an annotation configuration is selected. Based on the annotation configuration, an annotation user interface is generated for annotation of the medical imaging study. The annotation user interface and the medical imaging study is displayed to a user.

Abstract: A method for enhancing at least a section of lower-quality visual data using a hierarchical algorithm, the method comprises receiving at least one section of lower-quality visual data; and extracting a subset of features, from the at least one section of lower-quality visual data. A plurality of layers of reduced-dimension visual data from the extracted features are formed and enhanced to form at least one section of higher-quality visual data. The at least one section of higher-quality visual data corresponds to the at least one section of lower-quality visual data received.