Abstract: A method of adaptably detecting dirt, occlusion and smudge on camera lens and image sensor includes capturing an image; subjecting original pixels of the image to sampling to result in sampled pixels; excluding outliers of the sampled pixels to result in retained pixels; obtaining an average value of the retained pixels; obtaining a tolerance value according to luminance values of the retained pixels; generating a threshold value for determining dirt, occlusion and smudge on camera lens and image sensor in the image according to the tolerance value and the average value of the retained pixels; and comparing a luminance value of at least one pixel of the image with a corresponding threshold value.

Abstract: A device may obtain video data associated with a driving event involving a first vehicle. The device may determine a vanishing point associated with the video data and may construct a cone of impact of the first vehicle based on the vanishing point. The device may detect a second vehicle within the cone of impact and may analyze the subset of video frames to determine a distance between the first vehicle and the second vehicle. The device may determine a speed of the first vehicle during a time period associated with a subset of video frames. The device may determine a headway score, representative of a severity associated with the first vehicle being within a proximity threshold of the second vehicle during the time period, based on the distance and the speed. The device may determine an occurrence of a tailgating event based on the headway score.

Abstract: A broadcast order placed by a requestor is received at a first processing device configured to implement an automated media scheduling system. The broadcast order includes a request to prohibit placement of at least one media item within a threshold proximity of a restricted media show. In response to receiving the broadcast order, the automated media scheduling system modifies at least one record associated with the requestor to indicate the request. During automated schedule generation, the automated media scheduling system prevents the at least one media item from being scheduled within the threshold proximity of the restricted media show.

Abstract: The invention refers to an apparatus (110) for generating an augmented image comprising a) a base image providing unit (111), wherein the base image is generated based on a combination of spectral image data, b) a contrast image providing unit (112), wherein the contrast image is generated based on a different combination of the spectral image data, c) a degree of saliency determination unit (113), wherein the degree of saliency is indicative of a difference between an image value of a voxel of the contrast image and an image value of a corresponding voxel of a predetermined template image, and d) an augmented image generation unit (114) for generating an augmented base image of the object by augmenting voxels of the base image based on the degree of saliency. The invention allows to provide the augmented base image with an improved image quality and information content.

Abstract: Context attributes for optical imaging of a patterned layer of a semiconductor die are calculated. Calculating the context attributes includes calculating convolutions of a pattern of the patterned layer with respective kernels of a plurality of kernels, wherein the plurality of kernels is orthogonal. Defects on the semiconductor die are found in accordance with the context attributes.

Abstract: Systems, devices, and methods for performing video coding for machine (VCM) image enhancement, including obtaining a coded image from a coded bitstream; obtaining enhancement parameters corresponding to the coded image; decoding the coded image using a VCM decoding module to generate a decoded image; generating an enhanced image using an enhancement module based on the decoded image and the enhancement parameters, wherein the enhancement parameters are optimized for one of a human vision VCM task, a machine vision VCM task, and a human-machine hybrid vision VCM task; providing at least one of the decoded image and the enhanced image to at least one of a human vision module and a machine vision module for performing the one of the human vision VCM task, the machine vision VCM task, and the human-machine hybrid vision VCM task.

Abstract: A method of detecting security incidents and generating alerts receives an input from an mmWave sensor device, such input associated with potential security incidents, such input indicating a region of interest where an object of interest is present; processes the received input using an artificial intelligence (AI) engine and generates predicted labels describing the object of interest and the potential security incidents; activates in response to a content of a generated predicted label, a video camera, processes the output from the video camera using the AI engine to generate predicted labels describing the object of interest and the potential security incidents; and provides alerts to at least one of a plurality of output devices, where a value of a predicted label indicates a detection of a particular object of interest or a particular security incident.

Abstract: Cameras capture time-stamped images of predefined areas. At least one image includes a representation of multiple individuals in a group of individuals. Attributes retained with each individual are combined with a limb and pose recognition to properly identify each individual of the group within the image.

Abstract: A method and system for AR-based graded management education of laboratory safety risk are provided, which includes following steps: collecting laboratory image data and sensor data and obtaining a risk grade matching rule of a laboratory; identifying image feature data of the image data and sensor feature data of the sensor data, converting matched image feature data into a laboratory equipment name and converting matched sensor feature data into an equipment model; inputting the equipment name and a corresponding equipment model and quantity into the risk grade matching rule of the laboratory, and outputting a risk grade of a current laboratory according to the risk grade matching rule of the laboratory; and fusing and matching a AR template image corresponding to the identified and output risk grade and real image information according to preset AR template images for various risk grades, so as to output alarm information.

Abstract: A machine learning model data quality improvement detection tool is provided for identifying an accurate reference group and an accurate monitored group of a machine learning model. The tool monitors a behavior of the machine learning model for a predetermined time frame. The tool compares a determined fairness metric a pre-defined fairness threshold. Responsive to the fairness metric failing to meet the pre-defined fairness threshold, the tool modifies the monitored group to include a first portion of the reference group. The tool compares a newly determined fairness metric to the pre-defined fairness threshold. Responsive to the newly determined fairness metric meeting the pre-defined fairness threshold, the tool identifies the modified monitored group including the first portion of the user-defined reference group as a new monitored group and the modified reference group without the first portion of the user-defined reference group as a new reference group.

Abstract: An apparatus for generating models for identifying objects of interest from images is disclosed. The apparatus includes an input unit that receives input images, an object segmentation unit that receives the input images from the input unit and separates regions of objects of interest from a background region, and a learning unit that learns models used by the object segmentation unit. The learning unit trains new models using training data and outputs of existing models in relation to the training data, adds the trained new models to the existing model, and repeats the training of the new models and the adding of the trained new models to the existing models.

Abstract: The present invention relates to a guidance for treatment of a chronic total occlusion. In order to provide improved guidance information for chronic total occlusion treatment, a device (10) for guidance for treatment of a chronic total occlusion is provided that comprises an image supply (12), a data processor (14) and an output (16). The image supply provides a sequence of angiographic images comprising a vascular structure. The data processor detects at least one portion of the vascular structure indicating a total occlusion of a vessel based on the sequence of angiographic images; and determines an image of the sequence of images that shows at least one segment of the vessel next to the total occlusion; and generates guidance image data based on the determined image. The output provides the generated guidance image data. Thus, additional information relating to spatial aspects is provided to the user based on 2D image data.

Abstract: An image data processing apparatus comprises processing circuitry configured to: receive first medical image data; obtain a first image feature data set from the first medical image data; obtain a second image feature data set from second medical image data and/or from stored image feature data; obtain style data; and generate synthesized image data based on the first image feature data set, the second image feature data set, and the style data.

Abstract: In various examples, image data may be received that represents an image. Corner detection may be used to identify pixels that may be candidate corner points. The image data may be converted from a higher dimensional color space to a converted image in a lower dimensional color space, and boundaries may be identified within the converted image. A set of the candidate corner points may be determined that are within a threshold distance to one of the boundaries, and the set of the candidate corner points may be analyzed to determine a subset of the candidate corner points representative of corners of polygons. Using the subset of the candidate corner points, one or more polygons may be identified, and a filter may be applied to the polygons to identify a polygon as corresponding to a fiducial marker boundary of a fiducial marker.

Abstract: The present invention provides an information processing apparatus, an information processing method, an information processing program, and an information processing system that facilitates recognition of an identification result.

Abstract: An image matting method and apparatus, an electronic device, and a computer-readable storage medium. The method comprises: performing feature point detection on an image so as to obtain a feature point; acquiring a first image region manually marked on the image; adjusting the first image region according to the feature point, so as to obtain a second image region; and performing matting on the image according to the second image region. The manually marked first image region is adjusted according to the feature point, so as to acquire the second image region which is more accurately positioned, and then matting can be performed according to the second image region so as to accurately extract a required region.

Abstract: Provided is a method of controlling an information processing apparatus configured to execute an extension application associated with printing data generation software operatable in the information processing apparatus to extend a function, the method including: obtaining input data including printing setting; displaying a screen related to a specific function on a display unit in a case where it is determined based on the printing setting that the specific function is executed; editing the input data, such that the specific function is executed, to convert the input data into printing data; and transmitting the printing data to a printing apparatus after the screen is displayed on the display unit in the displaying.

Abstract: A method of locating a defect in an e-coat on a surface can include acquiring an image of the surface. A correction coefficient can be applied to the image to form an adjusted image. The correction coefficient can relate pixel values of the image to a calibration value. The adjusted image can be separated into a spectral component which can be modified by a block average determination to create a modified spectral component. The spectral components can be compared with the modified spectral components to form a difference image. The difference image can be dilated and eroded. A region of interest can be identified from an image region using a blob detection. The defect can be classified as a defect type. The defect can be repaired or a coding parameter can be altered based on the defect.

Abstract: Systems and methods disclosed are directed to receiving an image; performing an analysis on the image via one or more algorithms; generating tire and rim data based on an outcome of the analysis; transmitting one or more instructions including actuation of an end effector that is configured to apply tire dressing to a tire; and actuating an end effector that is configured to apply the tire dressing to the tire in accordance with the one or more instructions.

Abstract: An input device determines presence of an actual user, instead of an artifact, by using multi-wavelength reflectance spectroscopy. Light sources are operated to illuminate an object with different colors of light at different times. A detector determines, at those different times, intensity data indicative of intensity light of these different colors as reflected from the object. The intensity data is processed to determine whether the object is part of a user or is an artifact. For example, if the object is deemed to be a user, biometric input may be acquired. The biometric input may then be processed to identify the user. The input device may be used at various locations, such as at an entry portal, point of sale, and so forth.

Abstract: A method to detect a defect on a lithographic sample includes the following steps: detection light and a detector having at least one sensor pixel are provided. Further, a detection pattern is provided causing a light structure of the detection light being structured at least along one dimension (1D, x). The detection pattern is aligned such that the detector is aligned normal to an extension (xy) of the light structure. Further, a complimentary pattern is provided having a 1D structure which is complimentary to that of the detection pattern. The sample is moved relative to the detection pattern while gathering the detection light on the detector. Further, a reference sample without defects or with negligible defects is provided. The reference sample also is moved relative to the detection pattern while gathering the detection light on the detector. A defect (S1 to S4) localization on the sample is decoded by correlation using the complementary pattern.

Abstract: A method of generating a custom three-dimensional (3D) model of a patient bone from one or more 2D images is disclosed. The method includes obtaining a 2D image of a bone, optionally of a joint, and identifying a 3D bone template for a candidate or representative bone from a pre-aligned library of representative bones. The method further includes repositioning one or more views of the 3D model or 2D images (e.g., with respect to rotation angle or caudal angle). In an iterative process, another 3D bone model for another candidate bone can be identified based on the repositioning until an accuracy threshold is satisfied. When the accuracy threshold is satisfied, surface region(s) of the current 3D bone model can then be modified to generate the resulting 3D model for the patient bone. The process can then be repeated for other bone(s) associated with the joint of the patient.

Abstract: A method, system and apparatus for classifying one or more tested gemstones is disclosed. IR images of a tested gemstone are captured at one or more temperatures and analyzed to thereby classify the gemstone into type or class.

Abstract: In exemplary illustrative embodiments, a method of generating a digital image and/or modified depth information may include obtaining, via a first electronic sensor, a plurality of images of a target within a time period; selecting one or more pixels in a first image of the plurality of images; identifying corresponding pixels, that correspond to the one or more selected pixels, in one or more other images of the plurality of images, the one or more selected pixels and the corresponding pixels defining sets of reference pixels; identifying two or more images of the plurality of images having respective sets of reference pixels with optimal disparity; generating modified depth information; and/or generating a final digital image via the plurality of images and the modified depth information.

Abstract: The present disclosure describes systems and methods to correct for edge-position error associated with brightness levels of an associated back screen in a video extensometer system. In some examples, to correct for edge-position error, a processing system is configured to execute an edge detection algorithm to measure and/or calculate a difference between a perceived edge-position and a reference edge-position associated with an amount of error, and calculate a correction term to address the error. The correction term can be added to the result of the edge detection algorithm in case of white-to black transition, and subtracted in case of black-to-white transition to correct for the error.

Abstract: An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The control information describes movement of the sensors or known locations of the sensors relative to a reference point. For a particular object, an inference system learns a set of object-location representations of the object. An object-location representation is a unique characterization of an object-centric location relative to the particular object. The inference system also learns a set of feature-location representations associated with the object-location representation that indicate presence of features at the corresponding object-location pair.

Abstract: An object identification method is disclosed. The method includes obtaining images of a target geographical area and telemetry information of an image-collection vehicle at a time of capture, analyzing each image to identify objects, and determining a position of the objects. The method further includes determining an image capture height, determining a position of the image using the capture height and the telemetry information, performing a transform on the image based on the capture height and the telemetry information, identifying the objects in the transformed image, determining first pixel locations of the objects within the transformed image, performing a reverse transform on the first pixel locations to determine second pixel locations in the image, and determining positions of the objects within the area based on the second pixel locations within the captured image and the determined image position.

Abstract: A method of identifying an attack comprising receiving an input of one or more images, wherein the one or more images includes a patch size and size, divide the image into a first sub-image and a second sub-image, classify the first sub-image and the second sub-image, wherein classifying is accomplished via introducing a variable in a pixel location associated with the first and second sub-image, and in response to classifying the first and second sub-image and identifying an adversarial patch, output a notification indicating that the input is not certified.

Abstract: An image processing apparatus includes an analysis unit for analyzing an image, an extraction unit for extracting a reference image corresponding to a specific object, and a first correlation calculation unit and a second correlation calculation unit for presuming an area having a high correlation in an input image by using the reference image. The first correlation calculation unit executes presumption based on components including a direct current (DC) component, and the second correlation calculation unit executes presumption based on an alternate current (AC) component, from which the DC component is eliminated. Based on at least any one of a detection result of the specific object, a feature amount of the specific object, and an analysis result of an imaging scene, acquired by the analysis unit, the first correlation calculation unit and the second correlation calculation unit are switched when the area is presumed.

Abstract: An automated process for data annotation of medical images includes obtaining image data from an imaging sensor, partitioning the image data, identifying an object of interest in the partitioned image data, generating an initial contour with one or more control points with respect to the object of interest, identifying a manual adjustment of one of the control points, automatically adjust a position of at least one other control point within a predetermined range of the manually adjusted control point to a new position, the new position of the at least one other control point and manually adjusted control point defining a new contour, and generating an updated image with the new contour and corresponding control points.

Abstract: Example embodiments allow for fast, efficient detection and pose estimation of objects based on point clouds, depth images/maps, or other depth information about a scene that may contain the objects. Embodiments include translating and rotating the depth image to bring individual points of the depth image to a standard orientation and location so as to improve performance when an object is near the periphery of the field of view. Some disclosed embodiments include applying a random forest to perform pose estimation. By using the decision trees or other fast methods, it can be advantageous to perform pose estimation a plurality of times prior to identifying whether a particular object is actually present in a scene. Prospective pose estimates can be combined with models of the objects in order to evaluate whether the object is present in the scene.

Abstract: A person state detection apparatus (10) according to the present disclosure includes an acquisition unit (11) for acquiring a two-dimensional image obtained by capturing a person, a skeletal structure detection unit (12) for detecting a two-dimensional skeletal structure of the person based on the acquired two-dimensional image, an estimation unit (13) for estimating a height of the person standing upright in a two-dimensional image space based on the detected two-dimensional skeletal structure, and a state detection unit (14) for detecting the state of the person based on a height of an area where the person is present in the two-dimensional image.

Abstract: A method for identifying the contour of a vehicle based on measurement data from an environment sensor system is disclosed. The measurement data includes a set of spatial points of an object detected by the environment sensor system. The method includes: producing an envelope in the form of a polygonal chain around the object based on the set of spatial points; reducing the set of spatial points; removing spatial points from the polygonal chain that are irrelevant to identifying the contour of the vehicle and determining spatial points of the polygonal chain that are relevant to identifying the contour of the vehicle; classifying one or more edges as belonging to a front and a side of the vehicle on the basis of the reduced set of spatial points.

Abstract: An image display method and apparatus, and a device and a medium are provided. The image display method includes: acquiring a plurality of original images, wherein the original images are images comprising original objects; respectively performing style migration processing on the original objects in the plurality of original images, so as to obtain a plurality of stylized images of the plurality of original images that correspond to a target style; and displaying a synthesized image, where the synthesized image is an image obtained by synthesizing the plurality of stylized images and a background image corresponding to the target style.

Abstract: A method of automated configuration in a bioprocess system and to verify a process defined by a flow path representation. The method comprises the steps of: capturing one image of the bioprocess system comprising tubing for the fluid communication between units of the bioprocess system; analyzing the captured image to identify the tubing connecting units of the bioprocess system; producing a processed representation from the captured image wherein at least a part of the tubing is identified; and comparing the processed representation with the flow path representation to verify their functional concordance.

Abstract: In order to enhance enhanced X-ray image inhalation quality monitoring, a metric is proposed hat reproducibly provides an index of ribs visible to be used in the assessment of the inhalation state. In an example, a detected diaphragm in a chest X-ray image may be projected into an atlas that contains labels for all intercostal spaces, namely spaces between rib centerlines. A spatial representation of both the clavicle and the ribs is provided in the atlas, a cumulative histogram is built for all points, i.e. pixels, of the diaphragm, for every point a rib label counter of the rib in the rib label map at that point is incremented as well as all ribs above it, the rib label counter is normalized by a division by the number of points, the median (or a different quantile) may be taken of this distribution serving as an inhalation index. An objective metric of inhalation state is thus achieved.

Abstract: Systems and methods for extracting data from electronic documents using optical character recognition (OCR) and non-OCR based text extraction. A server computing device initiates non-OCR based text extraction for each page of an electronic document. The server calculates a document text coverage percentage corresponding to the non-OCR based text extraction for the whole document and, in response to determining that the document text coverage percentage is below a first threshold, initiates OCR for the document. The server calculates a page text coverage percentage corresponding to the non-OCR based text extraction for one or more pages of the electronic document and, in response to determining that the page text coverage percentage is below a second threshold, initiates OCR for the pages. The server combines first text extracted from the electronic document using non-OCR based text extraction and second text extracted from the electronic document using OCR.

Abstract: A method for managing drawing data including raster data includes: vectorizing, by a computer, the drawing data to generate vector data; generating, by the computer, dimension line data associated with first and second nodes included in the vector data; performing, by the computer, character recognition on a corresponding region in the drawing data corresponding to a close region close to a dimension line represented by the dimension line data; storing, by the computer, a character obtained by the character recognition as a dimension value in association with the dimension line data; and calculating, by the computer, a number of pixels per 1 mm on a drawing represented by the drawing data using the dimension value.

Abstract: A method of detecting moving objects, including the following steps: extracting first and second images from a video of an observed space; detecting corner points in the images; using the points, extracting a feature vector; identifying corresponding points in the images; determining a homography to perform image registration between the images; applying a warping of the second image based on the homography to obtain a warped second image; calculating a difference in individual pixels between the warped second image and the first image to identify pixels that differ; obtaining a third image by comparing the second warped image against the first image; identifying a bounding box in the third image for each group of adjacent pixels; calculate the optical flow based on the first image and the warped second image; extracting from the optical flow a matrix corresponding to the magnitude of the optical flow.

Abstract: The present application provides an image display method and an image display device. The image display method performs a gray-scale compensation on each data line, thereby preventing a problem of color crosstalk in a display panel. At the same time, an original image in the display panel is edge blurred, which can reduce an impact of the color crosstalk.

Abstract: In some examples, a system derives a first representation of an assembly of components based on a first source of information, and derives a second representation of the assembly of components based on a second source of information that is of a different type than the first source of information, where the second representation includes any or a combination of an indication of a source of a respective component of the assembly of components, or placement location information of a component in the assembly. The system compares the first representation to the second representation to identify a deviation between the first representation and the second representation, the deviation corresponding to an alteration of the assembly of components.

Abstract: Methods and computer readable media for facilitating training of a recognition model. An embodiment includes generating media items based on information associated with a representation of a graphic, the information including content other than the graphic, content based on at least one transformation parameter set, and content comprising the graphic integrated with the other content, then using a recognition model to process the media items to generate predictions related to recognition of the graphic for the media items, the generated predictions including an indication of a predicted location of the graphic in a first media item.

Abstract: Systems and methods are disclosed related to restraint device (e.g., seatbelt) localization. In one embodiment, the disclosure relates to systems and methods for seatbelt detection and modeling. A vehicle may be occupied by one or more occupants wearing one or more seatbelts. A camera or other sensor is placed within the vehicle to capture images of the one or more occupants. A system analyzes the images to detect and model seatbelts depicted in the images. Specifically, the system may scan the images and areas of the images that may correspond to seatbelts. The system may assemble candidate areas of the images that may correspond to seatbelts, and refine the candidate areas based on various constraints. The system may build models based on the refined candidate areas that indicate the seatbelts. The system may visualize the models indicating the seatbelts using the images.

Abstract: Systems, methods and non-transitory computer readable media for generating and orchestrating motion of visual contents are provided. A plurality of visual contents may be accessed. Data indicative of a layout of the plurality of visual contents in a user interface may be accessed. A sequence for the plurality of visual contents may be determined based on the layout. For each visual content of the plurality of visual contents, the visual content may be analyzed to generate a video clip including a motion of at least one object depicted in the visual content. A presentation of the plurality of visual contents in the user interface may be caused. The determined sequence for the plurality of visual contents may be used to orchestrate a series of playbacks of the generated video clips.

Abstract: Methods, systems and apparatuses provide for graphics processor technology that determines whether a first cache line allocated for early depth testing overlaps a second cache line allocated for late depth testing, and when the first cache line overlaps the second cache line, switches the first cache line to be allocated for late depth testing, and bypasses an early depth test for the first cache line. The technology can also compare coordinates of the first cache line with the coordinates of the second cache line, where an overlap is determined when coordinates for at least one pixel in the first cache line match coordinates for at least one pixel in the second cache line. Additionally, the technology can also perform early depth testing on each pixel in the first cache line when the first cache line does not overlap any existing cache lines allocated for late depth testing.

Abstract: In some embodiments, a computer-implemented method includes obtaining a without-eyeglasses face scan of a subject, the without-eyeglasses face scan being a three-dimensional (3D) model of a face of the subject without eyeglasses; obtaining a with-eyeglasses face scan of the subject, the with-eyeglasses face scan being a 3D model of the subject with eyeglasses; and using the without-eyeglasses face scan and the with-eyeglasses face scan to place a 3D eyeglasses model on a face model of the subject. In some embodiments of the computer-implemented method, the 3D eyeglasses model is placed on the face model of the subject using frame placement information generated using the without-eyeglasses face scan and the with-eyeglasses face scan.

Abstract: Embodiments herein generally relate to methods, systems and devices for automated assembly of building structures. In at least one embodiment, there is provided a robotic assembly cell for assembling building structures. The robotic assembly cell comprises a perception sensor system; one or more assembly robots; and at least one processor operable to: receive instructions corresponding to an assembly sequence for assembling a building structure; determine a plurality of building parts required for assembling the building structure based on the assembly sequence; identify each building part within a facility, based on sensor data from the perception sensor system; configure the assembly robot to retrieve the target pieces; and configure the assembly robot to assemble the target pieces according to the assembly sequence.

Abstract: Various implementations disclosed herein include devices, systems, and methods that adjust image content to reduce motion sickness during an experience. For example, an example process may include determining a first zone and a second zone of a display, generating images of a three-dimensional (3D) environment, identifying image content of each of the images corresponding to the second zone of the display, and reducing at least one of contrast or spatial frequency of the image content of each of the images corresponding to the second zone of the display.

Abstract: A system and method for providing feedback on a quality of a 3D scan is provided. The system includes a coordinate scanner configured to optically measure and determine a plurality of three-dimensional coordinates to a plurality of locations on at least one surface in the environment, the coordinate scanner being configured to move through the environment while acquiring the plurality of three-dimensional coordinates. A display having a graphical user interface. One or more processors are provided that are configured to determine a quality attribute of a process of measuring the plurality of three-dimensional coordinates based at least in part on the movement of the coordinate scanner in the environment and display a graphical quality indicator on the graphical user interface based at least in part on the quality attribute, the quality indicator is a graphical element having at least one movable element.

Abstract: Methods and systems for building a photomask from obtained pattern information relating to a photomask that exhibits defects on wafer. Spatial domain analysis is conducted on the pattern information so that corrective photomask structures can be generated and applied to a photomask layout. A photomask is built using the corrective photomask structures. The photomask is verified for effectiveness.