Abstract: The present disclosure relates to systems and methods for processing real-time video and detecting objects in the video. In one implementation, a system is provided that includes an input port for receiving real-time video obtained from a medical image device, a first bus for transferring the received real-time video, and at least one processor configured to receive the real-time video from the first bus, perform object detection by applying a trained neural network on frames of the received real-time video, and overlay a border indicating a location of at least one detected object in the frames. The system also includes a second bus for receiving the video with the overlaid border, an output port for outputting the video with the overlaid border from the second bus to an external display, and a third bus for directly transmitting the received real-time video to the output port.

Abstract: An inspection apparatus includes a reading device and a processor. The reading device is configured to read printed matter with an image that is printed on a printing medium based on a source image to generate a read image. The processor is configured to generate a reference image based on the source image, determine whether an inspection is to be executed based on a size of the source image and a size of the printing medium, and compare the reference image with the read image to inspect quality of the printed matter in response to a determination that the inspection is to be executed.

Abstract: Implementations of the present specification disclose a vehicle damage assessment method, apparatus, and device. The method includes: collecting a first video image including an identification of a target vehicle under damage assessment; in response to that the first video image meets the determined requirement for capturing an identification, collecting a second video image including a damage to the target vehicle; and assessing the damage to the target vehicle based on the first video image and the second video image in response to that the second video image meets the determined requirement for capturing a vehicle damage feature.

Abstract: A platform, device and process for capturing images of the surface of a gaming table and determining the quantity, identity, and arrangement of chips bet at a gaming table. Image data is captured corresponding to the one or more chips positioned in at least one betting area on a gaming surface of the respective gaming table and the data is processed to filter out the background, establish a two dimensional grid of points of interests and corresponding histograms for classifying the one or more chips through identifying a dominant classification of each row in the grid of points of interests.

Abstract: Systems and methods for creating oblique-mosaic image(s) for geographical area(s) are disclosed, including a computer system running software that when executed causes the system to create a mathematical model of a sensor of a virtual camera having an elevation greater than an elevation of a desired geographical area to be imaged, the mathematical model having an oblique-mosaic pixel map; determine surface locations for pixels included in the oblique-mosaic pixel map; select source oblique images of the surface locations of the pixels captured at an oblique angle and compass direction similar to an oblique angle and compass direction of the virtual camera; and reproject source oblique image pixels for pixels included in the oblique-mosaic pixel map such that reprojected pixels have differing sizes determined by matching projections from the virtual camera so as to present an oblique appearance, and thereby create the oblique-mosaic image of the desired geographical area.

Abstract: An assistance apparatus for assisting creation of an interpretation report obtains a set of regions of interest, which are determined as regions that were observed, of medical image data of a subject that is displayed as an interpretation target, and a set of described regions, which are regions that correspond to description of an interpretation report about the medical image data of a subject. The assistance apparatus determines consistency between the set of regions of interest and the set of described regions, and lets a display unit display a result of the determination.

Abstract: Embodiments are directed to accurately measuring a distance between a “true probability distribution: q” and a “probability distribution determined from a model of a generator: p” by D(x,y) of cGANs, so that a generated image may be made closer to a true image. A method of generating an image by using a conditional generative adversarial network constituted by two neural networks which are a generator and a discriminator, in which the discriminator outputs a result obtained from an arithmetic operation using a model of the following equation: f(x,y;?):=f1(x,y;?)+f2(x;?)=yTV???(x)+???(???(x)).

Abstract: A method for acquiring images of the surface of the earth, installing an aerial platform in a quasi-stationary position, equipped with an image acquisition system with a large field of view and a second, high-resolution, image acquisition system is disclosed. The method includes implementing successive observation cycles, each one including the acquisition of an image of a zone of interest by the first system, the partitioning of the image thus acquired into mesh units which each correspond to a sector of the zone of interest, the analysis of the image in order to detect the potential presence of unwanted marks, and the acquisition of an image by the second system for the mesh units for which no unwanted marks have been detected. Observation cycles are thereby implemented until images of the entire zone of interest have been acquired by the second system.

Abstract: Some embodiments are directed to a mobile terminal allowing the determination of information relating to a wound, including a photographic apparatus for acquiring an image of a zone containing the wound and device adapted for determining a first likelihood map associated with a first characteristic of the zone by using a first classifier; determining a second likelihood map associated with a second characteristic, by using a second classifier, distinct from the first classifier; segmenting the image into regions of homogeneous colour; matching the regions with the first and second maps, and adapting these regions so as to determine regions corresponding substantially to the wound, and determine these items of information on the basis of these regions and displaying them on a screen of the terminal.

Abstract: A technology capable of effectively and stably correcting brightness unevenness in an image obtained by imaging is provided. An image processing method includes an image obtaining step of obtaining an original image obtained by imaging an imaging object together with a substantially uniform background, an approximation step of specifying an approximation formula for approximating a two-dimensional luminance profile of the original image to a probability density function of a two-dimensional normal distribution, and a correction step of correcting a luminance value of each pixel constituting the original image on the basis of a luminance value of the two-dimensional luminance profile expressed by the approximation formula.

Abstract: An apparatus for identifying a line marking on a road surface. In the apparatus, an extractor extracts a paint candidate that is a candidate for road surface paint used to identify a line marking in an image captured by a camera mounted on a vehicle to capture an image of an area including a road surface ahead of the vehicle. A determiner determines whether or not the paint candidate has at least one predefined flare feature. A line marking identifier identifies a line marking using the paint candidate which meets an identification condition used to identify a line marking. The line marking identifier sets the identification condition to be more stringent for a flare paint candidate that is the paint candidate determined by the determiner to have the at least one predefined flare feature than for the paint candidate determined by the determiner to have no predefined flare feature.

Abstract: A hardware accelerator for histogram of oriented gradients computation is provided that includes a gradient computation component configured to compute gradients Gx and Gy of a pixel, a bin identification component configured to determine a bin id of an angular bin for the pixel based on a plurality of representative orientation angles, Gx, and signs of Gx and Gy, and a magnitude component configured to determine a magnitude of the gradients Gmag based on the plurality of representative orientation angles and the bin id.

Abstract: There are provided an image processing apparatus for registering medical images having different modalities and a method for controlling the same. A reference location is designated in advance, a pre-designated cross-sectional image of an object is used, a corresponding location is extracted, and then image registration is performed. The image processing apparatus according to an exemplary embodiment includes a communication unit configured to receive a first medical image and a second medical image having a different modality from the first medical image of an object from a first medical apparatus and a second medical apparatus, respectively; and an image processing unit configured to extract a pre-designated cross-sectional image from the second medical image, extract a location corresponding to a reference location of the object from the extracted cross-sectional image, and perform registration of the second medical image and the first medical image corresponding to the extracted cross-sectional image.

Abstract: In some examples, a camera tracking failure in a simultaneous localization and mapping (SLAM) process with respect to a first SLAM map may be identified. Responsive to identification of the camera tracking failure, a second SLAM map for the SLAM process may be initialized. A video frame tracked through the second SLAM map may be accessed. Matched features between the video frame and individual keyframes of the first SLAM map may be identified to determine a keyframe subset. The keyframe subset may be analyzed to determine a candidate camera position from among the keyframe subset. The candidate camera position may be tracked with respect to the first SLAM map for subsequent video frames. The first SLAM map may be stitched to the second SLAM map responsive to tracking the candidate camera position with respect to the first SLAM map for the subsequent.

Abstract: Provided is a process that includes: determining that a training set lacks an image of an object with a given pose, context, or camera; composing, based on the determination, a video capture task; obtaining a candidate video; selecting a subset of frames of the candidate video as representative; determining that a given frame among the subset depicts the object from the given pose, context, or camera; and augmenting the training set with the given frame.

Abstract: A method for identifying information carried on a sheet is disclosed. The method comprises: identifying, using one or more computing devices, each of one or more areas on the sheet based on an image of the sheet and a pre-trained first model, wherein each of the one or more areas is associated with all or part of the information carried on the sheet, and the first model is a neural network based model; and identifying, using one or more computing devices, characters in each of the one or more areas based on the image of the sheet, each of the one or more areas and a pre-trained second model so as to determine the information carried on the sheet, wherein the second model is a neural network based model.

Abstract: First scanned images of the first container are received from a scanning device that show the contents of the interior of the first container before the first container is cut and opened. Second scanned images that are of the contents of the first container after the first container is cut and opened are also received. The images are analyzed and, based upon the analysis, selective modifications to the operating parameters of the container opening machine are determined and made.

Abstract: A Bayer-mask image is decoded by forming a decoded green array; calculating a slope at each pixel of the array, expressed as an angle; calculating an activity at each pixel; converting the slope angle and the activity into a complex number for each pixel, of modulus equal to the activity and argument equal to twice the slope angle; expressing said complex numbers in Cartesian coordinates to form a Cartesian slope signal and filtering the Cartesian slope signal with a linear spatial filter to derive a slope measure. Blue-green and red-green values are calculated and interpolated using a slope-adaptive interpolation filter steered by said slope measure.

Abstract: Systems and methods to reduce near-field artifacts from intravascular images. Disclosed systems and methods are adapted to automatically identify near-field image artifacts in imaging data and generate an enhanced intravascular image by reducing near-field image artifacts.

Abstract: Occlusion of facial features may be detected and assessed in an image captured by a camera on a device. Landmark heat maps may be used to estimate the location of landmarks such as the eyes, mouth, and nose of a user's face in the captured image. An occlusion heat map may also be generated for the captured image. The occlusion heat map may include values representing the amount of occlusion in regions of the face. The estimated locations of the eyes, mouth, and nose may be used in combination with the occlusion heat map to assess occlusion scores for the landmarks. The occlusion scores for the landmarks may be used control one or more operations of the device.