Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for calibrating a robotic workcell. One of the methods includes obtaining an initial model of a workcell having a plurality of calibration entities including a plurality of robots and a plurality of sensors configured to observe movements by one or more calibration entities. executing a calibration program that generates movement data representing movements by the plurality of robots. A plurality of different constraint pairs are generated from sensor data, the constraint pairs specifying a relationship between poses of calibration entities that are observed in different coordinate frames each defined by a calibration entity and is represented in the sensor data. One or more optimization processes are performed on the plurality of different constraint pairs to generate a plurality of calibration values.

Abstract: A model training method includes obtaining an image sample set and brief-prompt information; generating a content mask set according to the image sample set and the brief-prompt information; generating a to-be-trained image set according to the content mask set; obtaining, based on the image sample set and the to-be-trained image set, a predicted image set through a to-be-trained information synthesis model, the predicted image set comprising at least one predicted image, the predicted image being in correspondence to the image sample; and training, based on the predicted image set and the image sample set, the to-be-trained information synthesis model by using a target loss function, to obtain an information synthesis model.

Abstract: In a target image generated by multi-resolution processing, a pixel of interest and a group of reference pixels are designated. In a corresponding image belonging to a level that is one level above, pixel value patterns are compared between a corresponding region of interest and corresponding reference regions so as to calculate weights. A modified pixel-of-interest value is determined by means of multiplying the reference pixel values by the weights.

Abstract: In one example, a display unit comprises a display panel that is configured to display digital images. The display unit further comprises an at least partially transparent protective layer that is arranged above the display panel. The display unit further comprises a controller that is communicatively attached onto an upper surface of the display panel. A biometric sensor pattern is integrated in the controller, and the controller is configured to control the biometric sensor pattern.

Abstract: The described aspects and implementations enable efficient detection and classification of objects with machine learning models that deploy a bird's-eye view representation and are trained using depth ground truth data. In one implementation, disclosed are system and techniques that include obtaining images, generating, using a first neural network (NN), feature vectors (FVs) and depth distributions pixels of images, wherein the first NN is trained using training images and a depth ground truth data for the training images. The techniques further include obtaining a feature tensor (FT) in view of the FVs and the depth distributions, and processing the obtained FTs, using a second NN, to identify one or more objects depicted in the images.

Abstract: A method for image generation, preferably including: generating a set of mission parameters for a UAV mission of the UAV associated with aerial scanning of a region of interest; controlling the UAV to perform the mission; generating an image subassembly corresponding to the mission; and/or rendering the image subassembly at a display.

Abstract: Embodiments of the present disclosure relate performing registration of a first image to a second image where the first image is undistorted to linear space before applying a geometric transformation matrix to modify the first image to align with the second image. The geometric transformation matrix may be a linear matrix that causes the undistorted version of the first image to make translation movement, rotational movement or both. The undistorted and modified first image is then reverted back to nonlinear distorted space. Then the reverted first image may be warped to better align with the second image for fusing with the second image. In this way, visual distortions in the fused image such as wobbling may be reduced or eliminated.

Abstract: Systems and methods of database optimization and distributed computing using thin locator style records are described herein. In some embodiments, a method includes distributing remote agents to a plurality of remote computing systems, generating standardized inventory records received via the remote agents, generating a database of available inventory that comprises complete standardized inventory records, generating thin locator style records for the complete standardized inventory records, the thin locator style records comprising key record identifiers receiving a query, the query comprising a price quote request, generating a standardized query based on the received query; selecting the thin locator style records in response to the standardized query; obtaining the complete standardized inventory records corresponding to the thin locator style records of the key record identifiers included in the price quote request; and providing the complete inventory records to a requestor.

Abstract: An image processing apparatus includes: a memory; and a processor configured to execute one or more instructions stored in the memory to: determine a scale weight for each pixel of original pixels in an original image based on first attribute-related information set by dividing the original image into an object region and a peripheral region, respectively; determine an additional weight for at least one pixel of the original pixels in the peripheral region, based on the first attribute-related information, and second attribute-related information that is based on an amount of a change between pixel values of adjacent pixels; and obtain a transformed image of which a size is changed from the original image, by applying at least one of the scale weight and the additional weight to corresponding pixels of the original pixels to obtain a pixel value of a transformed pixel in the transformed image.

Abstract: A method of image processing includes: obtaining an original image and obtaining a to-be-processed image based on the original image; recognizing the to-be-processed image by using an image recognition model to obtain a silhouette array; generating a silhouette image based on the silhouette array; and generating a target image based on the original image and the silhouette image, where the target image corresponds to a region of interest of the original image.

Abstract: A microscope may receive a fiber optic connector via a connector adapter that includes an opening and may align a ferrule of the fiber optic connector with the opening of the connector adapter, where the ferrule includes a ferrule endface. The microscope may transmit light onto the ferrule endface and may receive reflected light, as an image of the ferrule endface, with a camera of the microscope. The microscope may determine intensities of brightness of the image and may create a topographical map of the intensities of the brightness of the image. The microscope may determine a radius and an apex of the ferrule endface based on the topographical map and may calculate an apex offset of the ferrule endface based on the radius and the apex of the ferrule endface. The microscope may perform one or more actions based on the apex offset of the ferrule endface.

Abstract: Techniques are disclosed for filling or otherwise replacing a target region of a primary image with a corresponding region of an auxiliary image. The filling or replacing can be done with an overlay (no subtractive process need be run on the primary image). Because the primary and auxiliary images may not be aligned, both geometric and photometric transformations are applied to the primary and/or auxiliary images. For instance, a geometric transformation of the auxiliary image is performed, to better align features of the auxiliary image with corresponding features of the primary image. Also, a photometric transformation of the auxiliary image is performed, to better match color of one or more pixels of the auxiliary image with color of corresponding one or more pixels of the primary image. The corresponding region of the transformed auxiliary image is then copied and overlaid on the target region of the primary image.

Abstract: Image de-skewing can include acquiring pixel coordinates of an image captured by a camera adjoining an electronic display device. The pixel coordinates can be mapped to de-skewing coordinates using a predetermined de-skewing transformer that maps the pixel coordinates to de-skewing coordinates. A de-skewed image can be generated based on the de-skewing coordinates such that the de-skewed image is perpendicular to a principal axis extending from a predetermined location of an apparent camera on the electronic display device.

Abstract: A viewer may zoom in on an image to see a portion of the image. The image may be analyzed to determine if zoom enhancement is necessary. The zoomed region may be matched to a replacement texture. The replacement texture may be used to enhance the image by replacing some or all of the image data.

Abstract: A verification apparatus reads an image of a printed sheet using a plurality of imaging units to obtain image data. The verification apparatus extracts feature points of the obtained image data and determines whether a feature point of first image data obtained by a first imaging unit should be a feature point of second image data that should be obtained by another imaging unit. If so, the verification apparatus converts coordinates of the feature point of the second image data to a coordinate system of the first imaging unit, calculates a geometrical conversion parameter from the coordinates of the converted feature point and coordinates of feature points other than the converted feature point, and aligns the image data of the printed sheet and a correct image based on the geometrical conversion parameter.

Abstract: A method includes obtaining, using at least one processing device of an electronic device, multiple image frames having different exposure levels. The method also includes determining whether a moving saturated region is present in at least some of the image frames. The method further includes selecting one of the image frames as a reference frame, where the selected image frame depends on whether the moving saturated region is present in at least some of the image frames. The selected image frame may have a first exposure level when the moving saturated region is present in at least some of the image frames, and the selected image frame may have a second exposure level longer than the first exposure level when the moving saturated region is not present in the image frames.

Abstract: A method is used to automatically generate a picture-text description file containing text(s) and picture(s), including: acquiring a text material related to a target object; acquiring, according to information of the target object, a plurality of picture materials related to the target object; extracting first feature information of the picture materials and second feature information of the text material; determining, according to the first feature information and the second feature information, one or more picture materials that are matched with the text material; and combining the text material with one or more matching picture materials to generate the picture-text description file of the target object. The method improves matching between texts and the corresponding pictures.

Abstract: A method and system for calibration parameter validation. The method includes performing a camera calibration generating a calibration result, applying a coarse pass-fail criteria to the calibration result and rejecting the camera if the calibration result does not pass the coarse pass fail-criteria. The method further includes applying a fine pass-fail criteria based upon at least information stored at a central repository to the calibration result if the calibration result passes the coarse pass-fail criteria, rejecting the camera if the calibration result does not pass the fine pass fail-criteria, accepting the camera if the calibration result passes the fine pass fail-criteria, and entering the calibration result into the central repository. The information stored at the central repository includes key performance indicator/key performance metric information for one or more measured parameters of the calibration result.

Abstract: An OCT apparatus of an exemplary aspect includes an OCT scanner, image data generating unit, registration unit, and image data composing unit. The OCT scanner is configured to acquire three dimensional data sets by applying an OCT scan to mutually different three dimensional regions of a sample. The image data generating unit is configured to generate a plurality of pieces of image data from the three dimensional data sets. The registration unit is configured to perform a first registration between the plurality of pieces of image data by applying an image correlation calculation to each of overlap regions in the plurality of pieces of image data. The image data composing unit is configured to compose the plurality of pieces of image data based on a result of the first registration.

Abstract: Privacy control can be provided for displays that output content for users within an enclosed space. Display systems can include sensors that detect an external illuminance of an external environment outside the enclosed space. Based on the external illuminance and the brightness output by the display, the display system can control one or more of a variety of operating parameters to enhance privacy for the user within the enclosed space. For example, the display can be controlled with a reduced brightness when the external illuminance is low. By further example, windows separating the enclosed space from the external environment can be provided with an ability to adjust a transmissivity thereof and thereby reduce transmission of light from the display to the external environment. By further example, the display can be operated to change or omit certain content that has a relatively high privacy threshold.

Abstract: A method for restoring an image of a fingerprint sensor is described. The method includes capturing, by the fingerprint sensor, a fake fingerprint image from a fake fingerprint; calculating a phase of the fake fingerprint from the fake fingerprint image; capturing a plurality of target fingerprint images at measurement times by a fingerprint sensor disposed on a rear side of a display panel; applying the calculated phase to each of the acquired target fingerprint images; and combining information from each of the plurality of target fingerprint images to generate a final fingerprint image.

Abstract: Described here are systems and methods for generating microvessel images from image data acquired with an ultrasound system while analyzing the image data in realtime, or retrospectively, to generate a performance descriptor that can be used to assess data quality and/or motion correction quality; to adaptively suppress noise in the data; or both.

Abstract: The present invention relates to a solid-state imaging device capable of highly accurate authentication. The solid-state imaging device includes a light receiving unit and a control unit. The light receiving unit includes event-driven pixels that output the occurrence of an event on the basis of a threshold. The control unit is a control unit that controls the light receiving unit, and is configured to set a first threshold for the event-driven pixels, and, in a case where an event based on the first threshold has been detected, set a second threshold smaller than the first threshold for the event-driven pixels.

Abstract: A device, system, and/or method may be used to provide an adaptive alignment. A first video data may be received. The first video data may comprise a first video frame and a second video frame. Sensor pose data may be determined. The pose data may be associated with the first video frame and the second video frame. An adjusted video frame may be determined based on the first video frame and a motion indicated by the pose data. A frame adjustment value may be determined by comparing a first pixel from the adjusted video frame to a second pixel from the second video frame. The frame adjustment value may correlate the pose data to the first video data. A second video data may be determined by applying the frame adjustment value.

Abstract: A computer-implemented method, system and computer program product for creating a descriptor for a dashboard template. The column-to-visualization mappings are extracted from a dashboard of a created or modified dashboard (or a created or modified dashboard template). Furthermore, the concept combinations from each visualization of the dashboard are extracted. Additionally, topics from the dashboard are extracted. The concept combinations, topics and column-to-visualization mappings are aggregated into a dashboard template descriptor. The dashboard template descriptor is then stored. In this manner, the dashboard template descriptor captures how concept combinations are used in the visualizations of the dashboard as well as how high-level concepts (topics) are incorporated in the dashboard. Furthermore, the dashboard template descriptor captures how the concepts of the columns of a dataset are mapped to the visualizations of the dashboard.

Abstract: This application describes cross-scale point cloud segmentation network architecture for and exemplary systems that utilize such network architecture for semantic segmentation of a point cloud. An embodiment of the network architecture includes an encoding path comprising a plurality of sequentially connected encoding nodes, a decoding path following the encoding path and comprising a plurality of sequentially connected decoding nodes, and a plurality of data links respectively corresponding to a plurality of levels of feature resolution, in which each of the plurality of data links connects one of the plurality of encoding nodes and one of the plurality of decoding nodes that have a same level of feature resolution.

Abstract: A method for data storage may be provided. The method may include storing metadata of an image file onto a first storage device. The method may include dividing image data of the image file into at least one sub-image data set. The method may also include storing each sub-image data set of the at least one sub-image data set, onto a second storage device of at least one second storage device. The method may further include storing access information of the at least one second storage device onto the first storage device.

Abstract: Based on scanned data obtained by a scan unit reading a first chart printed and output by a printing unit and colorimetric data obtained by a colorimetry unit measuring the first chart, correction information for correcting a sensed value of the scan unit is generated. The first chart includes a patch extending in a main scanning direction substantially perpendicular to a sheet conveyance direction and having a uniform density, and a position adjustment pattern formed outside the patch for identifying a position in the main scanning direction on the patch. A first generation unit generates the correction information by causing a pixel position of an end portion of the patch in the scanned data and a colorimetry position of an end portion of the patch in the colorimetric data to correspond to each other and determining a corrected value of the sensed value at a specific pixel position.

Abstract: The present application provides an image stitching method, apparatus and device based on reinforcement learning and a storage medium. The method includes: acquiring initial calibration parameters, collecting a sample image and position information of a motion platform; setting a negative reward function; acquiring a state set and a negative reward value set according to a randomly generated action set, the initial calibration parameters, the position information of the motion platform and the negative reward function to construct a probability kinematics model; constructing a state value function based on an occurrence probability of the state, and acquiring an optimal action by optimizing the state value function; and acquiring optimized calibration parameters through the optimal action and the initial calibration parameters, and carrying out image stitching on corresponding sample images through the optimized calibration parameters.

Abstract: An image display apparatus according to an embodiment of the present technology includes a display control unit and a processing executing unit. The display control unit controls display of a designation image capable of designating a region with respect to a target image. The processing executing unit executes processing associated with the designation image on a designated region designated by the designation image. The processing executing unit executes, on an overlap region in which a first designated region designated by a first designation image and a second designated region designated by a second designation image overlap with each other, first processing associated with the first designation image and second processing associated with the second designation image. The display control unit moves the second designation image in conjunction with movement of the first designation image when the overlap region exists.

Abstract: Systems and method for an object from a plurality of objects are disclosed. An image of a scene containing the plurality of objects is obtained, and a segmentation map is generated for the objects in the scene. The shapes of the objects are determined based on the segmentation map. An end effector is adjusted in response to determining the shapes of the objects. The adjusting the end effector includes shaping the end effector according to at least one of the shapes of the objects. The plurality of objects is approached in response to the shaping of the end effector, and one of the plurality of objects is picked with the end effector.

Abstract: Provided are an image recognition device and an image recognition method capable of improving subject recognition accuracy. The image recognition device (image sensor 1) according to the present disclosure includes an imaging unit (10) and a recognition unit (14). The imaging unit (10) generates image data by capturing a plurality of images in different wavelength bands using imaging pixels (R, G, B, IR) receiving light in four or more types of wavelength bands. The recognition unit (14) recognizes a subject from each of the plurality of pieces of image data for each of the wavelength bands.

Abstract: Systems, apparatus, articles of manufacture and methods for face augmentation in video are disclosed. An example apparatus includes executable code to detect a face of a subject in the video, detect a gender of the subject based on the face, detect a skin tone of the subject based on the face, apply a first process to smooth skin on the face in the video, apply a second process to change the skin tone of the face, apply a third process to slim the face, apply a fourth process to adjust a size of eyes on the face, and apply a fifth process to remove an eye bag from the face. One or more of the first process, the second process, the third process, the fourth process, or the fifth process adjustable based on one or more of the gender or an age. The example apparatus also includes one or more processors to generate modified video with beauty effects, the beauty effects based on one or more of the first process, the second process, the third process, the fourth process, or the fifth process.

Abstract: Techniques are described herein for providing smart suggestions for image zoom regions. A method includes: receiving a search query; performing a search using the search query to identify search results that include image search results including a plurality of images that are responsive to the search query; for a given image of the plurality of images included in the image search results, determining at least one zoom region in the given image; and providing the search results including the image search results, including providing the given image and an indication of the at least one zoom region in the given image.

Abstract: Modeling a product, including taking a first picture of a product at a first position and at a first distance with a camera, taking a second picture of a product at the first distance and a second position with the camera, combining the pictures based on overlapping portions of the respective pictures, and generating an interactable model of the combined pictures.

Abstract: A measuring system includes a surveying instrument including a distance-measuring section, an angle-measuring section, an imaging section, a drive section, and a communication section, a measuring marker to be carried by a worker, including a position sensor, a posture sensor, a laser emitting section, a laser light emission port, a distance meter, and a communication section, an eyewear device to be worn on the head of the worker, including a display, an imaging section, a position sensor, a posture sensor, and a communication section, and an arithmetic device configured to synchronize coordinate of the above devices, and calculate an identified three-dimensional position of the measurement point by image analysis from images imaged by the imaging sections of the surveying instrument and the eyewear device, and measures the identified three-dimensional positions of a plurality of the measurement points in the order in which measurement instructions were issued by the worker.

Abstract: Example implementations include a method, apparatus and computer-readable medium for synchronizing an event monitoring application with an event monitoring service, comprising receiving, from the event monitoring service, based on subscribing to a control panel, a current state of the control panel. In addition, the implementations further include receiving, based on the subscribing, a first event message from the control panel. Further, the implementations further include determining, in response to a conflict between the first event message and the current state of the control panel, an updated state of the control panel based on comparing a first attribute of the first event message to a second attribute of a second event message of the current state of the control panel. Additionally, the implementations further include displaying the updated state of the control panel.

Abstract: A spectrally encoded fluorescence imaging system includes a multi-wavelength excitation light source emitting excitation light for illuminating a sample, optical components for introducing spectral encoding to focus different wavelengths of the excitation light at different positions in the sample to generate fluorescence at different, spatial positions, and band-shifting florescence imaging probes exhibiting excitation-dependent emission band, causing the fluorescence generated at different spatial positions to exhibit different band shifts, such that image information is encoded in the band-shifted fluorescence spectrums for parallel detection by a spectrometer or arrayed detectors operable to resolve different wavelengths.

Abstract: The present invention provides a panoramic presentation method and apparatus. The present invention presents a panoramic image by using a combined structure of a single fisheye projector and a spherical screen in hardware, employs a geometrical relationship between a fisheye lens and the position of a viewer and isometric projection transformation, and enables 180° fisheye projection to present 720° environment information to the viewer in the center of the spherical screen, greatly simplifying the image conversion process and realizing zero distortion. According to a 720° panorama one-step generation method based on a single virtual camera in software, complex steps of collecting six images by a plurality of cameras, synthesizing a cube map and then converting the cube map into a panorama are not needed, the vertex position of a scene is directly adjusted in the process from a 3D space to a 2D image.

Abstract: A method and system for uploading a media file container from a first device to a second device are described herein, including receiving an instruction to upload the media file container and in response, reading a metadata box of the media file container to locate a track box containing information about video data in a media data box, identifying sample frames of the video data throughout a duration of the video data in the media data box using information from the track box, packaging the identified sample frames, and uploading the packaged sample frames of the video data prior to completing upload of the media file container.

Abstract: In some examples, a machine learning model may be trained to denoise an image. In some examples, the machine learning model may identify noise in an image of a sequence based at least in part, on at least one other image of the sequence. In some examples, the machine learning model may include a recurrent neural network. In some examples, the machine learning model may have a modular architecture including one or more building units. In some examples, the machine learning model may have a multi-branch architecture. In some examples, the noise may be identified and removed from the image by an iterative process.

Abstract: An electronic device includes a processor configured to estimate green values at red and blue pixel locations of an input Bayer frame based on green values at green pixel locations of the input Bayer frame. The processor is also configured to generate red, green, and blue channels of joint demosaiced-warped output RGB pixels from the input Bayer frame based on the green values at the green pixel locations, the estimated green values at the red and blue pixel locations, an alignment vector map, and kernels for red, green, and blue pixels.

Abstract: Embodiments of the present invention discloses an image processing method and apparatus, a device and a storage medium. The method includes: acquiring a first image and a second image, where the first image and the second image are respectively captured and transmitted by a first lens and a second lens disposed on an unmanned aerial vehicle (UAV); acquiring current field of view (FOV) information of the first lens and the second lens; and determining target display information of the second lens according to the FOV information and datum display information set for the first lens.

Abstract: A program for generating a significant video stream causes a computer to function as coding parameter extraction means for extracting a coding parameter of each macroblock for each frame from an original video stream, macroblock selection means for selecting a significant macroblock that has a coding parameter satisfying a predetermined condition, and significant video stream generation means for generating a significant video stream in which frames of the original video stream temporally synchronized with the frames of the coding parameter in the significant macroblocks are combined in time series.

Abstract: A system for projecting dots onto a three-dimensional image is configured to activate multiple pseudo-random dot projectors sequentially. Each pseudo-random dot projector includes an illumination source and a wavefront modulating element (WME) located along an optical axis in a path traversed by radiation produced by the illumination source. The system is configured to form images of dots in the projection plane along the optical axis. The system may also include controlling circuitry configured to perform a sequential projection operation on the plurality of pseudo-random dot projection systems to produce a temporal sequence of images and aggregate and process the temporal sequence of images to produce a high-resolution depth image of the three-dimensional surface.

Abstract: An image processing device includes a processor that performs composition processing for generating an image, which simulates a transmission state of a virtual image via a transmission-type display, on the basis of a parameter representing characteristics of a model of the transmission-type display from a first image serving as the basis of the virtual image and a second image indicating a real image.

Abstract: A simultaneous implementation method of 3D subtraction magnetic resonance (MR) arteriography, 3D subtraction MR venography, and color-coded 4D MR angiography through post-processing of image information of 4D MR angiography according to an embodiment of the present disclosure may reduce scan time required to individually obtain an MR arteriography and an MR venography. In addition, not only anatomical information of arteries but also more accurate anatomical information of veins and more detailed hemodynamic information may be obtained.

Abstract: A predetermined image correction process is automatically performed on an image, and information for identifying that the predetermined image correction process has been performed is displayed in a state that an image having undergone the predetermined image correction process is being displayed.

Abstract: Disclosed are apparatus, electronic device, and method for stitching dual-camera images. The method includes collecting two images having overlapping photographic content. The method includes extracting and matching feature points of the two images. The method includes roughly aligning the two images by using a homography matrix. The method includes accurately aligning the two images by using a least squares method to complete stitching the two images.

Abstract: According to an aspect, there is provided an apparatus for performing the following. The apparatus obtains, periodically or regularly during imaging of an imaging target, images of different areas of the imaging target. At least some of the images overlap partially with each other. In response to detecting that an image and all images partially overlapping with said image have been obtained, the apparatus marks the image as completed. In response to detecting that a pre-defined number of images are marked as completed but not locked, the apparatus executes a partial image stitching process comprising: performing image stitching on non-locked images based on at least some obtained this far, locking stitched completed images and performing one or more actions. The one or more actions comprising outputting image information via at least one interface and/or storing the image information to a database accessible by a user and/or analysis device.