Abstract: A recording medium stores a program for causing a computer to execute processing including acquiring a captured image and a depth image that represents a distance from an imaging position, identifying a road region and another region in contact with the road region from the captured image, calculating a change in a depth of a first region that corresponds to the road region and a change in a depth of a second region that corresponds to the another region included in the depth image, determining whether or not the another region is a detection target based on the change in the depth of the first region and the change in the depth of the second region, and identifying a position of a subject included in the another region based on the depth of the second region and the imaging position when the another region is the detection target.

Abstract: A computer system generates an outline of a roof of a structure based on a set of lateral images depicting the structure. For each image in the set of lateral images, one or more rooflines corresponding to the roof of the structure are determined. The computer system determines how the rooflines connect to one another. Based on the determination, the rooflines are connected to generate an outline of the roof.

Abstract: A target tracking method is provided for a computer device. The method includes determining a target candidate region of a current image frame; capturing a target candidate image matching the target candidate region from the current image frame; determining a target region of the current image frame according to an image feature of the target candidate image; determining motion prediction data of a next image frame relative to the current image frame by using a motion prediction model and according to the image feature of the target candidate image; and determining a target candidate region of the next image frame according to the target region and the motion prediction data.

Abstract: A non-transitory computer-readable medium includes computer readable instructions, that when executed by one or more processors, causes the one or more processors to perform operations including receiving a plurality of input images and receiving a guide image corresponding to at least one input image of the plurality of input images. The guide image includes additional colorization relative to the at least one input image. Additionally, the operations include generating a color mapping logic configured to adjust a color of the at least one input image to match the additional colorization of the guide image and outputting an indication of the color mapping logic.

Abstract: The present application relates generally to identifying regions of interest in images, including but not limited to whole slide image region of interest identification, prioritization, de-duplication, and normalization via interpretable rules, nuclear region counting, point set registration, and histogram specification color normalization. This disclosure describes systems and methods for analyzing and extracting regions of interest from images, for example biomedical images depicting a tissue sample from biopsy or ectomy. Techniques directed to quality control estimation, granular classification, and coarse classification of regions of biomedical images are described herein. Using the described techniques, patches of images corresponding to regions of interest can be extracted and analyzed individually or in parallel to determine pixels correspond to features of interest and pixels that do not.

Abstract: An ophthalmologic information processing apparatus analyzes an image of a subject's eye formed by arranging a plurality of A-scan images acquired by performing OCT scan on inside the subject's eye with measurement light deflected around a scan center position. The ophthalmologic information processing apparatus includes a correcting unit, a region specifying unit, and a direction specifying unit. The correcting unit is configured to transform a pixel position in the image into a transformation position along a traveling direction of the measurement light passing through the scan center position. The region specifying unit is configured to specify a predetermined layer region by analyzing the image in which the pixel position has been transformed by the correcting unit. The direction specifying unit is configured to specify a normal direction of the layer region specified by the region specifying unit.

Abstract: Systems, methods, and computer program products for determining compatibility between items in images obtain image data associated with a plurality of images, each image being associated with a single item of a plurality of items, each image including a plurality of elements of a matrix, and the plurality of elements of the matrix of each image including the image data associated with that image; for each image, input the image data associated with that image as a single object in a set of objects to a relation network; and generate a compatibility score for the plurality of items from the relation network based on the set of objects, the compatibility score including a prediction of whether the plurality of items is compatible.

Abstract: A method for calculating and reporting image quality properties of an image acquisition device after a subject or object has been scanned consists of a scan quality monitoring system with automated software for receiving scans and radiation dose data from scanners and automated algorithms for analyzing image quality metrics and radiation dose tradeoffs. Image quality assessment methods include algorithms for measuring fundamental imaging characteristics, level and type of image artifacts, and comparisons against large databases of historical data for the scanner and protocols. Image quality reports are further customized to report on expected clinical performance of image detection or measurement tasks.

Abstract: A method and system for inspection of an item, and a use thereof, are presented. The method comprises acquiring a plurality of projection images of an item at a plurality of projection angles for performing a tomographic reconstruction of the item. A plurality of objects are detected in the tomographic reconstruction and each object has a generic shape described by a parametric three-dimensional numerical model. Said detection comprises determining initial estimates of position and/or orientation of each object and at least one geometrical parameter of the three-dimensional model for each object. The initial estimates are iteratively refining by using a projection-matching approach, in which forward projection images are simulated for the objects according to operating parameters of the radiation imaging device and a difference metric between acquired projection images and simulated forward projection images is reduced at each iteration step.

Abstract: A computer implemented method for generating a region of interest on a digital image of a sidewall of a tyre, the sidewall having one or more embossed and/or engraved markings, is provided. The method comprises generating a histogram of oriented gradients feature map of the digital image, inputting the histogram of oriented gradients feature map into a trained convolutional neural network, wherein said trained convolutional neural network is configured to output a first probability based on the input histogram of oriented gradients feature map that a region of pixels of the digital image contains the embossed and/or engraved markings, and if the first probability is at or above a first predetermined threshold, accepting said region of pixels as said region of interest.

Abstract: Embodiments include accessing an image of a region of tissue demonstrating cancerous pathology; detecting a plurality of cells represented in the image; segmenting a cellular nucleus of a first member of the plurality of cells and a cellular nucleus of at least one second, different member of the plurality of cells; extracting a set of nuclear morphology features from the plurality of cells; constructing a feature driven local cell graph (FeDeG) based on the set of nuclear morphology features and a spatial relationship between the cellular nuclei using a mean-shift clustering approach; computing a set of FeDeG features based on the FeDeG; providing the FeDeG features to a machine learning classifier; receiving, from the machine learning classifier, a classification of the region of tissue as a long-term or a short-term survivor, based, at least in part, on the set of FeDeG features; and displaying the classification.

Abstract: A system and method for constructing fluoroscopic-based three-dimensional volumetric data of a target area within a patient from two-dimensional fluoroscopic images acquired via a fluoroscopic imaging device.

Abstract: Provided herein are methods and systems for performing an automated tagging of features in digital micrographs representing slides with tissue samples. Automated tagging of features may include automated entry of metadata associated with whole slide images or regions of the whole slide images.

Abstract: This invention provides a processing apparatus (10) including a container identification score computation unit (11) that computes an identification score of a container for a product, based on an image to be processed containing the product, a product identification score computation unit (12) that computes an identification score of the product, based on the image to be processed, and a first identification unit (13) that decides identification information of the product, based on the computed identification score of the container and the computed identification score of the product.

Abstract: Systems and methods for detecting duplicate frames is provided. An automated duplicate frames detection service may extract one or more frames from content and determine a hamming distance between each of the extracted one or more frames and adjacent frames. In response to determining the hamming distance is less than a threshold hamming distance, the duplicate frames detection service may determine duplicate frames. In turn, the duplicate frames detection service may determine the duplicate frames are created without intent in response to determining the average distance between the one or more duplicate frames meets threshold criteria and provide an indication of the one or more duplicate frames without intent to a client device.

Abstract: A method for enhancing liveness detection of image data is provided that includes receiving image data of a person and using multi-resolution convolution and octave convolution techniques to extract first and second frequency components from the received image data. The method also includes comparing the first frequency component against data in a first frequency map and comparing the second frequency component against data in a second frequency map. Furthermore, the method includes determining whether the first frequency component satisfies matching criteria with data in the first frequency map and determining whether the second frequency component satisfies matching criteria with data in the second frequency map. In response to determining the first and second frequency components fail to satisfy the data in the respective frequency map, the method concludes that the received image data was not taken of a live person.

Abstract: An efficient across-camera target re-identification method based on similarity, which obtains a plurality of matching pairs and similarity scores thereof through two groups of targets to be matched; wherein for the matching pairs that are not matched by both parties, only a part of the matching pairs with higher similarity scores are selected each time, and the matching pairs are traversed according to the order of the similarity scores thereof from large to small, and the matching pairs and the similarity scores thereof are output as a matching result; when any target to be matched in a matching pair already appears in the matching result, the target cannot be output as the matching result; unmatched matching pairs are repeated traversed until the matching result reaches the expectation. The method firstly solves the multi-target matching problem based on similarity, and greatly reduces the time complexity and improves the efficiency.

Abstract: A banknote monitoring apparatus includes a reception section that receives information including a serial number from each of a plurality of banknote processing apparatuses processing a banknote with the serial number; and a control section that determines whether a specification of the banknote has been changed based on an identification rate of the serial number obtainable with the information received.

Abstract: A computer system generates an outline of a roof of a structure based on a set of lateral images depicting the structure. For each image in the set of lateral images, one or more rooflines corresponding to the roof of the structure are determined. The computer system determines how the rooflines connect to one another. Based on the determination, the rooflines are connected to generate an outline of the roof.

Abstract: A method for positioning a vehicle, a vehicle and an electronic device are disclosed, which relate to a field of automatic driving and intelligent transportation. The method includes: obtaining a map related to a region, the region being a region where a positioning signal such as a GNSS signal is limited, such as a tunnel, the region including a plurality of positioning markers, and the map including positioning mark data corresponding to the plurality of positioning markers; capturing image data for the region when the vehicle travels through the region; and determining positioning information of the vehicle by matching the image data with the positioning mark data in the map based on an estimated posture of the vehicle. The map here may be a high-precision map.