Abstract: A communication system captures writing surface content in a physical space for transmittal to remote client devices participating in a communication session. During a communication session with one or more remote client devices, a communication system captures image data and depth data describing objects in a physical space of the communication system. Based on the captured data, the communication system identifies a writing surface in the physical space and captures content on the writing surface. The communication system may also identify objects occluding content on the writing surface based on the captured data and may modify image data to make an object occluding the content at least partially transparent. The communication system transmits the content to at least one of the remote client devices participating in the communication session.

Abstract: The present disclosure provides a method for identifying a plurality of lane lines on a road segment. The method may include obtaining a plurality of images of the road segment having one or more lanes and vehicles, and identifying a plurality of reference straight lines from the images. The method may include determining a vanishing point based on the reference straight lines, and determining a plurality of candidate lane lines among the reference straight lines based on the vanishing point. The method may also include determining at least one travel trajectory of at least one of the vehicles based on the images. The method may further include determining a target travel trajectory among the travel trajectory based on the vanishing point or a count of the lanes, and determining the lane lines among the candidate lane lines based on the target travel trajectory.

Abstract: A user can wear a device which emits a visual and/or audible output. The output changes over time. A system is capable of predicting the output. Thus, the system can analyze a video and determine, based on observed output of the device, whether the video has been modified. The output can be particularly difficult for humans to modify, detect, understand, or recreate, further impeding attempts to disguise edits to the video.

Abstract: The image processing apparatus acquires a first three-dimensional image, generates a second three-dimensional image by applying image processing to the first three-dimensional image having been acquired, and generates a two-dimensional projected image by applying projection processing to the second three-dimensional image having been generated. The image processing apparatus determines a parameter to be used for the image processing of the three-dimensional image on the basis of a parameter for the projection processing.

Abstract: The present application provides an image stitching method. The image stitching method includes acquiring a first depth image a present frame of image obtained by a first camera; acquiring a second depth image of the present frame of image obtained by a second camera, the second depth image and the first depth image parlay overlapping with each other; converting the first depth image in a first camera coordinate system defined by the first camera into a third depth image in a second camera coordinate system defined by the second camera; and stitching the third depth image with the second depth image to obtain a stitched image.

Abstract: A human expert may initially label a white light image of teeth, and computer vision may initially label a filtered fluorescent image of the same teeth. Each label may indicate presence or absence of dental plaque at a pixel. The images may be registered. For each pixel of the registered images, a union label may be calculated, which is the union of the expert label and computer vision label. The union labels may be applied to the white light image. This process may be repeated to create a training set of union-labeled white light images. A classifier may be trained on this training set. Once trained, the classifier may classify a previously unseen white light image, by predicting union labels for that image. Alternatively, the items that are initially labeled may comprise images captured by two different imaging modalities, or may comprise different types of sensor measurements.

Abstract: A method for phase correction in proton resonance frequency (PRF) thermometry application includes acquiring a series of magnetic resonance (MR) images comprising a first MR image and plurality of subsequent MR images depicting an anatomical area of interest. The MR images are acquired while tissue in the anatomical area of interest is undergoing a temperature change. Each subsequent MR image is registered to the first MR image to yield a plurality of registered images. A plurality of basis images are computed from the registered images using Principal Component Analysis (PCA). The basis images are used to remove motion-related phase changes from a second series of MR images, thereby yielding a motion corrected second series of MR images. One or more temperature difference maps are generated that depict a relative temperature change for the tissue in the anatomical area of interest based on the motion corrected second series.

Abstract: A stereo camera calibration method includes: obtaining a stereo image generated by imaging a chart using a stereo camera, the chart at least including two markers arranged at a known interval; measuring the known interval, using the stereo image and a calibration parameter for the stereo camera; and correcting a parameter pertaining to an optical axis position so as to reduce a difference between the known interval and a result of the measurement. The correcting includes performing a process corresponding to moving the optical axis position in perpendicular and lateral directions on an imaging surface of the stereo camera. The correcting includes calculating a perpendicular correction amount of the optical axis position, and then calculating a lateral correction amount of the optical axis position.

Abstract: An image processing system which can decide an image processing target region considering a decrease in image quality is provided. The image processing system includes an image acquisition unit that acquires an image obtained by capturing a subject, an image quality determination information acquisition unit that acquires image quality determination information representing a determination result of an image quality in the image, an image processing target region decision unit that decides an image processing target region in the image using the image quality determination information, and an image processing unit that executes at least one of a detection process or a composition process for the image processing target region. A region represented as a logical product of two or more temporary image processing target regions respectively corresponding to two or more pieces of the image quality determination information is decided as the image processing target region.

Abstract: Information may be visually encoded within visual content of an image using a distortion projection. The distortion projection may cause stretching of a visual element defined within a pixel array of the image. Information may be visually encoded within the pixel array using visual characteristic(s) of the pixel array. Presentation of the visual content based on a non-distortion projection may reduce a number of pixels that defines the visual element within the pixel array and may reduce visual impact of the information visually encoded within the pixel array.

Abstract: Angiographic data is obtained by injecting a chemical contrast agent intravascularly, and imaging passage of the contrast as a function of time, thereby generating a sequence of images. To correct error from uncalibrated timestamps embedded in the image metadata, radio-opaque markers are used to generate a watermark embedding timestamp data in obtained images. The radio-opaque markers cause opacification on the x-ray images in the form of dynamic watermarks that encode timestamps. The positions of the markers in the watermark (cast from the radio-opaque markers) are then processed and analyzed to generate an accurate timestamp for the image. By generating an accurate timestamp, synchronized calculations of the images with other data sources are provided.

Abstract: The present disclosure provides an alert device and an alert method. The alert device includes an image capturing unit, an input/output unit and a processing unit. The image capturing unit is configured to capture at least one image of a wafer transportation system. The processing unit is configured to: retrieve the at least one image from the image capturing unit; define a first boundary in the at least one image; identify a wafer chuck of the wafer transportation system in the at least one image; determine whether the wafer chuck intersects the first boundary in the at least one image; and transmit an alert signal to the wafer transportation system via the input/output unit when the wafer chuck is determined to intersect the first boundary in the at least one image.

Abstract: Methods and systems are disclosed for analyzing one or more images of a textile to determine a presence or absence of defects. In one example, an image of at least a portion of a textile may be obtained and compared to a reference image of a reference textile. Based on the comparison, one or more areas indicative of a height variation between the textile and the reference textile may be determined. An action may be performed based on the one or more areas indicative of the height variation.

Abstract: An image processing system which can decide an image processing target region considering a decrease in image quality is provided. The image processing system includes an image acquisition unit that acquires an image obtained by capturing a subject, an image quality determination information acquisition unit that acquires image quality determination information representing a determination result of an image quality in the image, an image processing target region decision unit that decides an image processing target region in the image using the image quality determination information, and an image processing unit that executes at least one of a detection process or a composition process for the image processing target region. A region represented as a logical product of two or more temporary image processing target regions respectively corresponding to two or more pieces of the image quality determination information is decided as the image processing target region.

Abstract: Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera. A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.

Abstract: A system for non-invasive hematological measurements includes a platform to receive a body portion of a user and an imaging device to acquire a set of images of a capillary bed in the body portion. For each image, a controller detects one or more capillaries in the body portion of the finger to identify a first set of capillaries by estimating one or more attributes of each capillary (e.g., structural attributes, flow attributes, imaging attributes, or combinations thereof), wherein at least one attribute of each capillary meets a predetermined criterion. The controller also identifies a second set of capillaries from the first set of capillaries such that each capillary of the second set of capillaries is visible in a predetermined number of images of the set of images.

Abstract: A system for measuring accuracy of an electronic map or a localization of a vehicle may include one or more processors and a memory in communication with the one or more processors having an image capture module, a ground truth generating module, a curve function generating module, and an accuracy determining module. These modules contain instructions that when executed by the one or more processors causes the processors to obtain sensor data that includes images of one or more road lane markings of a road or trajectory data regarding the trajectory of the vehicle, determine ground truth curvature values, perform a curve fitting of map lane marking points or map trajectory points, and compare curvature values of a curve function generated by the curve fitting to the ground truth curvature values to determine the accuracy the electronic map or the localization of the vehicle.

Abstract: An apparatus to measure the time constant of microbolometer-type uncooled thermal imaging camera pixels on a per-pixel basis has been developed. The apparatus utilizes a longwave infrared laser and acousto-optic modulator as a periodic light source to excite the pixels of the camera's focal plane array. The image frames captured by the camera during excitation are then processed and the data fit using the algorithms developed to find the time constant for each pixel in the array.

Abstract: A method of identifying, tracking, and counting human objects of interest based upon at least one pair of stereo image frames taken by at least one image capturing device, comprising the steps of: obtaining said stereo image frames and converting each said stereo image frame to a rectified image frame using calibration data obtained for said at least one image capturing device; generating a disparity map based upon a pair of said rectified image frames; generating a depth map based upon said disparity map and said calibration data; identifying the presence or absence of said objects of interest from said depth map and comparing each of said objects of interest to existing tracks comprising previously identified objects of interest; for each said presence of an object of interest, adding said object of interest to one of said existing tracks if said object of interest matches said one existing track, or creating a new track comprising said object of interest if said object of interest does not match any of sai

Abstract: The present disclosure provides a system and method for CT image reconstruction. The method may include combining an analytic image reconstruction technique with an iterative reconstruction algorithm of CT images. The image reconstruction may be performed on or near a region of interest.