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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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, 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: 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: 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: 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: A sensing apparatus for detecting speed bumps or potholes on a road is disclosed. The sensing apparatus comprises a telemetric sensing system configured to collect a plurality of position vectors by telemetric sensing of a road surface, wherein each position vector extends from a common origin to a respective point on the road surface and wherein each position vector has a length and a direction. The sensing apparatus further comprises a processing circuitry configured to detect a road flatness exception by evaluating the lengths of the position vectors. Thus, an improved apparatus for detecting road irregularities such as speed bumps or potholes on a road is provided. The sensing apparatus remains functional in low light conditions, e.g., at night, and also in the presence of reverberation of the vehicle.

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.

Abstract: The present disclosure generally relates to a method of moving a user through an extended reality environment. Through comparing movement of a head mounted display to a user's established reference position, one or more sensors can determine movement of the user in the extended reality environment. The movement of the user in the extended reality environment corresponds to the anticipated movement of the user's vestibular system as determined by the movement and angle of the head mounted device.

Abstract: To speed up image processing, an obtaining means of an image processing system obtains a captured image of a document that includes a fixed part and an un-fixed part, where the document is captured by an image reader or an image capture device. A first shaping means shapes the captured image based on a feature of the document in a sample image and a feature of the document in the captured image so as to obtain a first shaped image. A detecting means detects a feature part of the fixed part from the first shaped image. A second shaping means shapes the first shaped image such that a position of the feature part detected by the detecting means is aligned with a predetermined position so as to obtain a second shaped image.

Abstract: An image processing device includes: a contribution ratio calculation unit that calculates a contribution ratio of a predetermined pixel or a predetermined region in depth calculation in each of a plurality of pixels or a plurality of regions included in an input image; and a correction unit that corrects a depth value of the predetermined pixel or the predetermined region based on the contribution ratio.

Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Thereafter, it is detected whether there is an object within each image. Based on this detection, images in which each object is detected that meet predefined object representation parameters are identified (on an object-by-object basis, etc.). The identified images are provided to a consuming application or process for quality assurance analysis. Related apparatus, systems, techniques and articles are also described.

Abstract: According to an embodiment of the present disclosure, disclosed is a method to read a chest image. The method includes: determining whether or not to identify presence of cardiomegaly for a chest image; detecting a lung region and a heart region respectively which are included in the chest image, by using a neural network model, when it is determined to identify presence of cardiomegaly of the chest image; and calculating a cardiothoracic ratio of the chest image using the detected lung region and the detected heart region.

Abstract: An unloader includes a suction device including a suction portion, a mover, a controller, and an article detector. The controller moves the suction portion relative to a mount in a first predetermined direction to switch from a state in which a vertical relative distance is greater than a greater one of an article height or a predetermined distance and is less than a total length of the article height and the predetermined distance and in which a detection line is located in a second predetermined direction from a target article group to a state in which the detection line is located in the first predetermined direction from the target article group, and prohibits an operation to move the suction portion in a vertical direction toward the target article group when the article detector detects an article.

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: An imaging device comprising a housing configured to be coupled to a basketball backboard, a lens disposed in the housing, a control unit disposed in the housing, the control unit comprising one or more processors, and a memory coupled to the one or more processors. The one or more processors are configured to perform operations stored in the memory including performing line detection from captured image data, providing, to a trained machine-learning model, adjusted image data based on one or more algorithms applied to the captured image data, wherein the one or more algorithms are based on whether or not lines are detected from the captured image data and generating, from output of the trained machine-learning model, data indicating characteristics of a basketball action associated with one or more users.

Abstract: Example embodiments relate to radar image video compression techniques using per-pixel Doppler measurements, which can involve initially receiving radar data from a radar unit to generate a radar representation that represents surfaces in the environment. Based on Doppler scores in the radar representation, a range rate can be determined for each pixel that indicates a radial direction motion for a surface represented by the pixel. The range rates and backscatter values can then be used to estimate a radar representation prediction for subsequent radar data received from the radar unit, which enables a generation of a compressed radar data file that represents the difference between the radar representation prediction and the actual representation determined for the subsequent radar data. The compressed radar data file can be stored in memory, transmitted to other devices, and decompressed and used to train models via machine learning.

Abstract: A CADx system for analysing medical images and determining if the images are acceptable for analysis, by determining if the images contain out-of-distribution input data is described. The CADx system comprises: an input circuit for receiving at least one medical image; a gatekeeper circuit for determining if the at least one received medical image contains out-of-distribution input data and so does not meet the requirements of the CADx system for acceptable images; and an output circuit to produce an output that is either a determination that the at least one received medical image contains out-of-distribution data and is not suitable for analysis by the CADx system, or a determination that the medical image is acceptable.

Abstract: A method and system for image processing are provided in the present disclosure. The method may include obtaining a first image and determining whether there is an object of interest in the first image by performing an object detection on the first image. The method may also include upon a determination that there is an object of interest in the first image, retrieving at least one background image from a first storage device, and obtaining a foreground image. The method may further include upon a determination that there is no object of interest in the first image, determining whether a first predetermined condition is satisfied; and upon a determination that the first predetermined condition is satisfied, updating the at least one background image in the first storage device based on at least one candidate image determined as including no object of interest.

Abstract: The purpose of the present invention is to improve accuracy in inspection of an appearance of a mold. The inspection device includes at least one processor for performing an inspection step of inspecting an appearance of a mold using a learned model constructed by machine learning. Input into the learned model includes an inspection image obtained by imaging the appearance of the mold. Output from the learned model is information indicating an inspection result of the appearance of the mold.

Abstract: Disclosed is a method for analyzing a thickness of a cortical region, performed by a computing device. The method may include: extracting a plurality of interfaces included in a cortical region based on a mask generated from a medical image including at least one brain region; and estimating a thickness of the cortical region based on the plurality of interfaces.

Abstract: The information processing device obtains a character string image which includes a plurality of characters, and which includes the characters arranged in an arrangement direction, obtains a probability image representing a probability of an existence of a character in each of the pixel included in the character string image, obtains a plurality of character regions in which the characters are estimated to respectively exist in the character string image based on the probability image, obtains an additional character region which is located in the character string image, and which does not overlap the plurality of character regions based on a determination result on whether or not a pixel of a non-background color exists in a direction perpendicular to the arrangement direction at every position in the arrangement direction in the character string image, and recognizes the plurality of characters from the character regions and the additional character region.

Abstract: In one embodiment, a method includes accessing a first image corresponding to a first frame of a video stream, where the first image has complete pixel information, rendering a provisional image corresponding to a second frame of the video stream subsequent to the first frame, where the provisional image has a first area with complete pixel information and a second area with incomplete pixel information, generating a predicted image corresponding to the second frame by re-projecting at least an area of the first image according to one or more warping parameters, and generating a second image corresponding to the second frame by compositing the rendered provisional image and the predicted image.

Abstract: There is provided an identification method including obtaining first information for each of first pixels constituting a first image obtained by imaging the first object with a first camera, the first information related to reflected light from a first object including a body, obtaining second information for each of the first pixels, the second information corresponding to a distance from the first object to the first camera, obtaining an index value as a result of a calculation using the first information and the second information for each of the first pixels, and identifying a first area of the first image corresponding to the body by judging whether each of the first pixels belong to the first area based on the index value.

Abstract: An image processing method includes: recognizing a target contour of a target object in a target image collected at a current moment determining, in the target contour, a starting contour point corresponding to a starting contour position, a final contour point corresponding to a final contour position, and a split contour point corresponding to the current moment taking a line segment composed of contour points between the starting contour point and the split contour point in the target contour as a first line segment, and taking a line segment except the first line segment in the target contour as a second line segment rendering the first line segment according to a first color, and rendering the second line segment according to a second color.

Abstract: A method and computing system for facilitating edge detection are presented. The computing system may include at least one processing circuit configured to receive image information representing a group of objects in a camera field of view, and to identify, from the image information, a plurality of candidate edges associated with the group of objects. The at least one processing circuit may further determine, when the plurality of candidate edges include a first candidate edge which is formed based on a border between a first image region and a second image region, whether the image information satisfies a defined darkness condition at the first candidate edge. The at least one processing circuit may further select a subset of the plurality of candidate edges to form a selected subset of candidate edges for representing the physical edges of the group of objects.

Abstract: The present application is directed to apparatuses, methods, and systems for remote deposit capture with enhanced image detection. In one form, a system includes a processor configured to extract an instrument image from an image that is associated with an account, where the instrument image is extracted by determining at least one corner of a plurality of corners of an instrument in the image, and to transmit the instrument image to a financial institution server to transfer funds between financial institution accounts.

Abstract: Systems and methods for removing false positives from sensor detection for robotic apparatuses traveling a route, wherein the robot may use a material filter, digital filter, or a combination of digital and material filters of increasing strength to remove a false positive from sensor detection. After removing the false positive, signals to one or more motors coupled to the robot may configure the robotic to travel past the false positive along the route.

Abstract: An apparatus and related method defend against adversarial queries. A policy enforcement hypergraph is constructed to express a set of security policies. Then, the hypergraph is repeatedly traversed to determine whether a user behavior is changing over time. The user behavior is measured by reference to a vertex or an edge in the hypergraph. If it is determined that the user behavior has changed over time an enforcement action is taken based on a security policy.

Abstract: In some implementations, a device may detect edges in an image, and may identify, based on the edges, a rectangle that bounds a document in the image. The device may detect lines in the image, and may identify edge candidate lines by discarding one or more of the lines. The device may identify intersection points where lines, included in the edge candidate lines, intersect with one another. The device may identify corner candidate points by discarding one or more points included in the intersection points, and may identify a corner point included in the corner candidate points. The corner point may be a point, included in the corner candidate points, that is closest to one corner of the bounding rectangle. The device may perform perspective correction on the image of the document based on identifying the corner point.

Abstract: Disclosed embodiments may include a method of interacting with a multimodal machine learning model; the method may include providing a graphical user interface associated with a multimodal machine learning model. The method may further include displaying an image to a user in the graphical user interface. The method may also include receiving a textual prompt from the user and then generating input data using the image and the textual prompt. The method may further include generating an output at least in part by applying the input data to the multimodal machine learning model, the multimodal machine learning model configured using prompt engineering to identify a location in the image conditioned on the image and the textual prompt, wherein the output includes a first location indication. The method may also include displaying, in the graphical user interface, an emphasis indicator at the indicated first location in the image.

Abstract: Aspects of the present disclosure describe DFOS systems, methods, and structures that advantageously extract road traffic from DFOS vibration patterns such that anomaly detection is possible. Sensed vibration data is represented accurately as a set of points, where each point is denoted as a tuple with elements indicating a time stamp, a location along a length of a DFOS optical sensing cable, and vibration strength detected at the location at the time. Traffic pattern detection is based on a progressive probabilistic Hough transform (PPHT) that exploits global information from an entire spatial-temporal data snapshot to assess a cause of detected vibrations.

Abstract: A method is provided. The method includes: obtaining a picture to be processed, where the picture to be processed includes a plurality of pixels, and the plurality of pixels comprise first pixels for forming an image and second pixels for forming an image background; rotating the picture to be processed, where for each rotation angle, an intermediate picture is obtained; selecting at least two pictures from the picture to be processed and several intermediate pictures for calculating an area of a bounding box surrounding the image respectively; and removing second pixels outside the bounding box in a picture with the smallest area of bounding box to obtain a processed picture.